Amazon Rekognition

Amazon Rekognition is a cloud-based computer vision service that makes it easy to add image and video analysis to your applications, providing capabilities such as object and scene detection, facial analysis, face comparison, celebrity recognition, text detection, content moderation, custom labels, face liveness detection, and streaming video analysis using deep learning technology.

Amazon Rekognition is listed with 19 APIs on the APIs.io network, including Celebrity Recognition API, Content Moderation API, Custom Labels API, and 16 more. Tagged areas include Amazon Web Services, Celebrity Recognition, Computer Vision, Content Moderation, and Custom Labels.

The Amazon Rekognition catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

Amazon Rekognition’s developer surface includes authentication, changelog, CLI, developer portal, documentation, developer console, signup flow, and 158 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

71.9/100 exemplar ▬ flat Agent 40/100 agent native saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

19 APIs 1 MCP Servers 14 Features 9 Use Cases

Amazon Web ServicesCelebrity RecognitionComputer Vision Content ModerationCustom LabelsDeep LearningFace LivenessFacial Recognition Image Analysis Machine Learning Object Detection Text Detection Video Analysis

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 71.9/100 · exemplar

Contract Quality 12.8 / 19

Developer Ergonomics 10.9 / 15

Access Clarity 15.0 / 15

Operational Transparency 5.1 / 10

Contract Governance 2.9 / 9

Discoverability 5.4 / 8

Regulatory Posture 4.7 / 15

Create-or-Update Ergonomics 1.1 / 10

Agent readiness — 40/100 · agent native

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 9 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the AI & Biometrics regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks
Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too
Agent Skills +5 pts — skills artifact present, graded by who authored it

5 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Governance scores 31.8 — up to +8.2 composite points
Contract Quality scores 68.5 — up to +7.9 composite points
Operational Transparency scores 52.6 — up to +6.2 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/amazon-rekognition/apis.yml: open an issue on github.com/api-evangelist/amazon-rekognition to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Biometrics Testing (biometric recognition vendors, identity verification depth)	undeclared	-	-	-
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	undeclared	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

OpenAPI

measured — observed by APIs.io (published)

APIs 19

Individual APIs this provider publishes, each with its own machine-readable definition.

Amazon Rekognition Celebrity Recognition API

Identify celebrities in images and videos.

Amazon Rekognition Content Moderation API

Detect inappropriate or explicit content.

Amazon Rekognition Custom Labels API

Train and use custom image classifiers.

Amazon Rekognition Face Collections API

Create and manage searchable face collections.

Amazon Rekognition Face Liveness API

Verify that a user is physically present during identity verification.

Amazon Rekognition Face Search API

Search for matching faces within collections.

Amazon Rekognition Facial Analysis API

Detect and analyze faces with detailed attributes.

Amazon Rekognition Image Analysis API

Detect labels, objects, scenes, and concepts in images.

Amazon Rekognition Stored Video Analysis API

Asynchronous analysis of videos stored in Amazon S3.

Amazon Rekognition Text Detection API

Detect and extract text from images and videos.

Amazon Rekognition Rekognition Dataset API

The Rekognition Dataset API from Amazon Rekognition — 3 operation(s) for rekognition dataset.

Amazon Rekognition Rekognition Face API

The Rekognition Face API from Amazon Rekognition — 6 operation(s) for rekognition face.

Amazon Rekognition Rekognition Media Analysis Job API

The Rekognition Media Analysis Job API from Amazon Rekognition — 3 operation(s) for rekognition media analysis job.

Amazon Rekognition Rekognition Operations API

The Rekognition Operations API from Amazon Rekognition — 21 operation(s) for rekognition operations.

Amazon Rekognition Rekognition Project API

The Rekognition Project API from Amazon Rekognition — 3 operation(s) for rekognition project.

Amazon Rekognition Rekognition Project Policy API

The Rekognition Project Policy API from Amazon Rekognition — 3 operation(s) for rekognition project policy.

Amazon Rekognition Rekognition Project Version API

The Rekognition Project Version API from Amazon Rekognition — 5 operation(s) for rekognition project version.

Amazon Rekognition Rekognition Stream Processor API

The Rekognition Stream Processor API from Amazon Rekognition — 7 operation(s) for rekognition stream processor.

Amazon Rekognition Rekognition User API

The Rekognition User API from Amazon Rekognition — 5 operation(s) for rekognition user.

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Postman Collections 1

Ready-to-run Postman collections for exercising this provider's APIs.

Amazon Rekognition

POSTMAN

Open Collections 11

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Amazon Rekognition Celebrity Recognition API

OPEN COLLECTION

Amazon Rekognition Celebrity Recognition Content Moderation API

OPEN COLLECTION

Amazon Rekognition Celebrity Recognition Custom Labels API

OPEN COLLECTION

Amazon Rekognition Celebrity Recognition Face Collections API

OPEN COLLECTION

Amazon Rekognition Celebrity Recognition Face Liveness API

OPEN COLLECTION

Amazon Rekognition Celebrity Recognition Face Search API

OPEN COLLECTION

Amazon Rekognition Celebrity Recognition Facial Analysis API

OPEN COLLECTION

Amazon Rekognition Celebrity Recognition Image Analysis API

OPEN COLLECTION

Amazon Rekognition Celebrity Recognition Stored Video Analysis API

OPEN COLLECTION

Amazon Rekognition Celebrity Recognition Text Detection API

OPEN COLLECTION

Amazon Rekognition

OPEN COLLECTION

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Arazzo Workflows 11

Multi-step API workflows described with the Arazzo specification.

Amazon Rekognition Celebrity Scene Context

Recognize celebrities in an image and then label the same image for scene context.

ARAZZO

Amazon Rekognition Custom Labels and Moderate

Run a Custom Labels model on an image and then screen the same image for unsafe content.

ARAZZO

Amazon Rekognition Detect then Compare Faces

Confirm a face exists in the source image, then compare it against every face in a target image.

ARAZZO

Amazon Rekognition Enroll and Search a Face

Create a face collection, index a face into it, then search the collection by a query image.

ARAZZO

Amazon Rekognition Face Liveness Session

Create a Face Liveness session, then poll for its results until a terminal status is reached.

ARAZZO

Amazon Rekognition Label and Moderate an Image

Detect general labels in an image and then screen the same image for unsafe content.

ARAZZO

Amazon Rekognition Quality Gated Enrollment

Detect a face and check its quality, then index it into a collection only when a face is present.

ARAZZO

Amazon Rekognition Reuse or Create Collection then Enroll

List collections, branch to create the collection only if missing, then index a face into it.

ARAZZO

Amazon Rekognition Text and Moderation Screen

Extract text from an image and then screen the same image for unsafe content.

ARAZZO

Amazon Rekognition Verify a Face Against a Collection

Detect a face in an image to confirm a single subject, then search a collection to verify identity.

ARAZZO

Amazon Rekognition Video Label Detection Job

Start an asynchronous video label detection job, poll until it succeeds, then read the results.

ARAZZO

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MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Amazon Rekognition MCP Server

Local (stdio) MCP server; 8 tools listed.

MCP SERVER

Amazon Rekognition API pricing

Prices published by Amazon Rekognition, read 2026-10-07 from aws.amazon.com/rekognition/pricing/.

Plan	Price
Rekognition Image – Group 2 (DetectLabels), first 1 million images	$0.0010 per image Includes: Free Tier: 1,000 images per month for 12 months
Rekognition Image – Image Properties, first 1 million images	$0.00075 per image Includes: Free tier is not offered for Image Properties
Rekognition Image – higher volume tiers (example)	$0.0006 per image Includes: Next 30 million images
Face Metadata Storage	$0.00001/face metadata per month Includes: Free tier: 1,000 face vector objects and 1,000 user vector objects per month
Streaming video events – Label Detection (US East example)	$0.00817/min Includes: Free Tier: 60 free minutes of video analysis per month
Stored video analysis – Label Detection (us-east-1 example)	$0.10/min
Stored video – Shot Detection (example)	$0.05/min
Custom Labels – Training (example)	$1 per hour Includes: Free Tier: 2 free training hours per month

All 13 plans, limits and sources →

Rate limits

Free Tier Default: 10 requests per minute
Free Tier Monthly Quota: 1000 requests per month
Professional Tier Default: 100 requests per minute

Compiled by API Evangelist, not yet checked against Amazon Rekognition's documentation. All 5 limits →

Billed by: image · FinOps profile →

Pricing Plans 2

Published pricing tiers and plan structures.

Amazon Rekognition Plans Pricing

13 plans

PLANS

Amazon Rekognition Price Estimates

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Amazon Rekognition Rate Limits

5 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Amazon Rekognition

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Amazon Rekognition Finops

FINOPS

Features 14

Notable capabilities this provider offers.

Object and Scene Detection

Detect thousands of objects, scenes, and concepts in images and videos with high confidence scores using deep learning.

Facial Analysis

Detect and analyze faces with attributes including age range, emotions, gender, and facial landmarks.

Face Comparison

Compare faces across images to determine if they are the same person with a similarity score.

Face Collections

Create searchable face collections to index and search millions of faces in near real-time.

Celebrity Recognition

Identify thousands of celebrities in images and videos across categories like sports, entertainment, and politics.

Text Detection

Detect and extract printed and handwritten text from images and videos in multiple languages.

Content Moderation

Detect explicit, inappropriate, or violent content in images and videos for automated content moderation.

Custom Labels

Build and train custom image classifiers using your own labeled images for domain-specific object detection.

Protective Equipment Detection

Detect personal protective equipment such as face covers, hand covers, and head covers on persons in images.

Face Liveness Detection

Verify that a user is physically present during identity verification to prevent spoofing attacks.

People Pathing

Track and follow identified people across frames in stored video footage.

Video Segmentation

Identify technical cues and segments such as black frames, end credits, and color bars in video content.

Streaming Video Analysis

Analyze live streaming video in real-time using Amazon Kinesis Video Streams integration.

Image Properties Analysis

Evaluate image quality attributes including sharpness, brightness, contrast, and dominant colors.

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Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Amazon Rekognition Context

30 classes · 108 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Amazon Rekognition — jsonschema rules

5 rules · 4 warnings 1 info

SPECTRAL

Amazon Rekognition API Rules

23 rules · 8 errors 13 warnings 2 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Amazon Rekognition Openapi Overlay

3 actions · update · amazon-rekognition-openapi.yml

DERIVED

JSON Schema 36

Standalone JSON Schema definitions for this provider's data models.

BoundingBox

4 properties

JSON SCHEMA

CompareFacesRequest

4 properties

JSON SCHEMA

CompareFacesResponse

3 properties

JSON SCHEMA

CreateCollectionRequest

2 properties

JSON SCHEMA

CreateCollectionResponse

3 properties

JSON SCHEMA

CreateFaceLivenessSessionRequest

3 properties

JSON SCHEMA

CreateFaceLivenessSessionResponse

1 properties

JSON SCHEMA

DetectCustomLabelsRequest

4 properties

JSON SCHEMA

DetectCustomLabelsResponse

1 properties

JSON SCHEMA

DetectFacesRequest

2 properties

JSON SCHEMA

DetectFacesResponse

2 properties

JSON SCHEMA

DetectLabelsRequest

5 properties

JSON SCHEMA

DetectLabelsResponse

4 properties

JSON SCHEMA

DetectModerationLabelsRequest

4 properties

JSON SCHEMA

DetectModerationLabelsResponse

4 properties

JSON SCHEMA

DetectTextResponse

2 properties

JSON SCHEMA

DetectLabelsResponse

3 properties

JSON SCHEMA

FaceDetail

6 properties

JSON SCHEMA

GetFaceLivenessSessionResultsRequest

1 properties

JSON SCHEMA

GetFaceLivenessSessionResultsResponse

5 properties

JSON SCHEMA

GetLabelDetectionResponse

7 properties

JSON SCHEMA

GetVideoJobResultRequest

5 properties

JSON SCHEMA

ImageOnlyRequest

1 properties

JSON SCHEMA

Image

2 properties

JSON SCHEMA

IndexFacesRequest

6 properties

JSON SCHEMA

IndexFacesResponse

4 properties

JSON SCHEMA

Label

4 properties

JSON SCHEMA

ListCollectionsResponse

3 properties

JSON SCHEMA

NotificationChannel

2 properties

JSON SCHEMA

RecognizeCelebritiesResponse

2 properties

JSON SCHEMA

S3Object

3 properties

JSON SCHEMA

SearchFacesByImageRequest

5 properties

JSON SCHEMA

SearchFacesByImageResponse

4 properties

JSON SCHEMA

StartLabelDetectionRequest

7 properties

JSON SCHEMA

StartVideoJobResponse

1 properties

JSON SCHEMA

Video

1 properties

JSON SCHEMA

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JSON Structure 36

JSON Structure definitions describing this provider's data shapes.

Amazon Rekognition Bounding Box Structure

4 properties

JSON STRUCTURE

Amazon Rekognition Compare Faces Request Structure

4 properties

JSON STRUCTURE

Amazon Rekognition Compare Faces Response Structure

3 properties

JSON STRUCTURE

Amazon Rekognition Create Collection Request Structure

2 properties

JSON STRUCTURE

Amazon Rekognition Create Collection Response Structure

3 properties

JSON STRUCTURE

Amazon Rekognition Create Face Liveness Session Request Structure

3 properties

JSON STRUCTURE

Amazon Rekognition Create Face Liveness Session Response Structure

1 properties

JSON STRUCTURE

Amazon Rekognition Detect Custom Labels Request Structure

4 properties

JSON STRUCTURE

Amazon Rekognition Detect Custom Labels Response Structure

1 properties

JSON STRUCTURE

Amazon Rekognition Detect Faces Request Structure

2 properties

JSON STRUCTURE

Amazon Rekognition Detect Faces Response Structure

2 properties

JSON STRUCTURE

Amazon Rekognition Detect Labels Request Structure

5 properties

JSON STRUCTURE

Amazon Rekognition Detect Labels Response Structure

4 properties

JSON STRUCTURE

Amazon Rekognition Detect Moderation Labels Request Structure

4 properties

JSON STRUCTURE

Amazon Rekognition Detect Moderation Labels Response Structure

4 properties

JSON STRUCTURE

Amazon Rekognition Detect Text Response Structure

2 properties

JSON STRUCTURE

Amazon Rekognition Detectlabelsresponse Structure

3 properties

JSON STRUCTURE

Amazon Rekognition Face Detail Structure

6 properties

JSON STRUCTURE

Amazon Rekognition Get Face Liveness Session Results Request Structure

1 properties

JSON STRUCTURE

Amazon Rekognition Get Face Liveness Session Results Response Structure

5 properties

JSON STRUCTURE

Amazon Rekognition Get Label Detection Response Structure

7 properties

JSON STRUCTURE

Amazon Rekognition Get Video Job Result Request Structure

5 properties

JSON STRUCTURE

Amazon Rekognition Image Only Request Structure

1 properties

JSON STRUCTURE

Amazon Rekognition Image Structure

2 properties

JSON STRUCTURE

Amazon Rekognition Index Faces Request Structure

6 properties

JSON STRUCTURE

Amazon Rekognition Index Faces Response Structure

4 properties

JSON STRUCTURE

Amazon Rekognition Label Structure

4 properties

JSON STRUCTURE

Amazon Rekognition List Collections Response Structure

3 properties

JSON STRUCTURE

Amazon Rekognition Notification Channel Structure

2 properties

JSON STRUCTURE

Amazon Rekognition Recognize Celebrities Response Structure

2 properties

JSON STRUCTURE

Amazon Rekognition S3 Object Structure

3 properties

JSON STRUCTURE

Amazon Rekognition Search Faces By Image Request Structure

5 properties

JSON STRUCTURE

Amazon Rekognition Search Faces By Image Response Structure

4 properties

JSON STRUCTURE

Amazon Rekognition Start Label Detection Request Structure

7 properties

JSON STRUCTURE

Amazon Rekognition Start Video Job Response Structure

1 properties

JSON STRUCTURE

Amazon Rekognition Video Structure

1 properties

JSON STRUCTURE

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Examples 36

Example request and response payloads for these APIs.

Amazon Rekognition Bounding Box Example

4 fields

EXAMPLE

Amazon Rekognition Compare Faces Request Example

4 fields

EXAMPLE

Amazon Rekognition Compare Faces Response Example

3 fields

EXAMPLE

Amazon Rekognition Create Collection Request Example

2 fields

EXAMPLE

Amazon Rekognition Create Collection Response Example

3 fields

EXAMPLE

Amazon Rekognition Create Face Liveness Session Request Example

3 fields

EXAMPLE

Amazon Rekognition Create Face Liveness Session Response Example

1 fields

EXAMPLE

Amazon Rekognition Detect Custom Labels Request Example

4 fields

EXAMPLE

Amazon Rekognition Detect Custom Labels Response Example

1 fields

EXAMPLE

Amazon Rekognition Detect Faces Request Example

2 fields

EXAMPLE

Amazon Rekognition Detect Faces Response Example

2 fields

EXAMPLE

Amazon Rekognition Detect Labels Request Example

5 fields

EXAMPLE

Amazon Rekognition Detect Labels Response Example

4 fields

EXAMPLE

Amazon Rekognition Detect Moderation Labels Request Example

4 fields

EXAMPLE

Amazon Rekognition Detect Moderation Labels Response Example

4 fields

EXAMPLE

Amazon Rekognition Detect Text Response Example

2 fields

EXAMPLE

Amazon Rekognition Detectlabelsresponse Example

3 fields

EXAMPLE

Amazon Rekognition Face Detail Example

6 fields

EXAMPLE

Amazon Rekognition Get Face Liveness Session Results Request Example

1 fields

EXAMPLE

Amazon Rekognition Get Face Liveness Session Results Response Example

5 fields

EXAMPLE

Amazon Rekognition Get Label Detection Response Example

7 fields

EXAMPLE

Amazon Rekognition Get Video Job Result Request Example

5 fields

EXAMPLE

Amazon Rekognition Image Example

2 fields

EXAMPLE

Amazon Rekognition Image Only Request Example

1 fields

EXAMPLE

Amazon Rekognition Index Faces Request Example

6 fields

EXAMPLE

Amazon Rekognition Index Faces Response Example

4 fields

EXAMPLE

Amazon Rekognition Label Example

4 fields

EXAMPLE

Amazon Rekognition List Collections Response Example

3 fields

EXAMPLE

Amazon Rekognition Notification Channel Example

2 fields

EXAMPLE

Amazon Rekognition Recognize Celebrities Response Example

2 fields

EXAMPLE

Amazon Rekognition S3 Object Example

3 fields

EXAMPLE

Amazon Rekognition Search Faces By Image Request Example

5 fields

EXAMPLE

Amazon Rekognition Search Faces By Image Response Example

4 fields

EXAMPLE

Amazon Rekognition Start Label Detection Request Example

7 fields

EXAMPLE

Amazon Rekognition Start Video Job Response Example

1 fields

EXAMPLE

Amazon Rekognition Video Example

1 fields

EXAMPLE

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Security Posture 4

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Amazon Rekognition Authentication

apiKey · 1 scheme

SECURITY

Amazon Rekognition Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Amazon Rekognition Vulnerability Disclosure

security.txt · contact published

SECURITY

Amazon Rekognition Trust Center

PCI DSS, HIPAA, FedRAMP, GDPR, FIPS 140

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Amazon Rekognition Agentic Access

15 operations · 12 acting

AGENTIC

Use Cases 9

What developers build with this provider.

Identity Verification

Verify user identities by comparing selfies to ID documents or previously stored face images for onboarding and authentication.

Content Moderation

Automatically moderate user-generated content on platforms to detect and filter explicit or inappropriate imagery.

Searchable Media Libraries

Build searchable image and video archives by automatically tagging media with detected labels, faces, and text.

Workplace Safety Compliance

Monitor camera feeds to detect whether workers are wearing required personal protective equipment in industrial settings.

Fraud Prevention

Prevent identity fraud during digital onboarding by using face liveness detection to confirm real users.

Smart Retail Analytics

Analyze in-store camera feeds to track customer behavior, measure foot traffic, and optimize product placement.

Public Safety and Security

Search video archives for persons of interest by comparing faces against a known collection.

Media and Entertainment

Automatically tag celebrities in photos and videos for media companies to improve content discoverability.

Custom Object Detection

Train custom classifiers to detect proprietary products, logos, brand assets, or industry-specific objects.

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Resources

Get Started 4

Portal, sign-up, and the first successful call

Portal

DeveloperPortal

Console

Signup

Documentation 37

Reference material describing how the API behaves

Documentation

JSONSchema

JSONSchema

JSONSchema

JSONSchema

JSONSchema

JSONSchema

JSONSchema

JSONSchema

JSONSchema

JSONSchema

JSONSchema

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Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

MCPServer

WellKnown

LLMsTxt

Design & Contract 56

Pagination, idempotency, versioning, errors, and events

ErrorCatalog

Lifecycle

Conformance

Conventions

Components

DataModel

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

SpectralRules

Vocabulary

JSONLD

JSONStructure

JSONStructure

JSONStructure

JSONStructure

JSONStructure

JSONStructure

JSONStructure

JSONStructure

JSONStructure

JSONStructure

JSONStructure

JSONStructure

JSONStructure

JSONStructure

JSONStructure

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JSONStructure

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JSONStructure

JSONStructure

JSONStructure

JSONStructure

JSONStructure

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JSONStructure

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JSONStructure

JSONStructure

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Build 40

SDKs, sample code, and the tooling you integrate with

Packages

Packages

CLI

CLI

PostmanWorkspace

PostmanWorkspace

GitHubOrganization

Examples

Examples

Examples

Examples

Examples

Examples

Examples

Examples

Examples

Examples

Examples

Examples

Examples

Examples

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Access & Security 7

Authentication, authorization, and security posture

TrustCenter

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

Authentication

SecurityTxt

Security

Compliance

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Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 7

Status, limits, changes, and where to get help

RateLimits

ChangeLog

Support

FAQ

StatusPage

StackOverflow

Contact

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Commercial 5

Pricing, plans, and the legal terms of use

FinOps

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

Overlay

Overlay

KnowledgeCenter

KnowledgeCenter

Source (apis.yml)

name: Amazon Rekognition
description: Amazon Rekognition is a cloud-based computer vision service that makes it easy to add image and video analysis
  to your applications, providing capabilities such as object and scene detection, facial analysis, face comparison, celebrity
  recognition, text detection, content moderation, custom labels, face liveness detection, and streaming video analysis using
  deep learning technology.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
url: https://raw.githubusercontent.com/api-evangelist/amazon-rekognition/refs/heads/main/apis.yml
created: '2024-01-15'
modified: '2026-09-16'
specificationVersion: '0.23'
kind: company
apis:
- aid: amazon-rekognition:amazon-rekognition-celebrity-recognition-api
  name: Amazon Rekognition Celebrity Recognition API
  description: Identify celebrities in images and videos.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Celebrity Recognition
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-celebrity-recognition-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/rekognition/latest/dg/what-is.html
  - type: APIReference
    url: https://docs.aws.amazon.com/rekognition/latest/APIReference/Welcome.html
  - type: GettingStarted
    url: https://docs.aws.amazon.com/rekognition/latest/dg/getting-started.html
  - type: Authentication
    url: https://docs.aws.amazon.com/rekognition/latest/dg/security_iam_service-with-iam.html
  - type: Pricing
    url: https://aws.amazon.com/rekognition/pricing/
  - type: FAQ
    url: https://aws.amazon.com/rekognition/faqs/
- aid: amazon-rekognition:amazon-rekognition-content-moderation-api
  name: Amazon Rekognition Content Moderation API
  description: Detect inappropriate or explicit content.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Content Moderation
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-content-moderation-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/rekognition/latest/dg/what-is.html
  - type: APIReference
    url: https://docs.aws.amazon.com/rekognition/latest/APIReference/Welcome.html
  - type: GettingStarted
    url: https://docs.aws.amazon.com/rekognition/latest/dg/getting-started.html
  - type: Authentication
    url: https://docs.aws.amazon.com/rekognition/latest/dg/security_iam_service-with-iam.html
  - type: Pricing
    url: https://aws.amazon.com/rekognition/pricing/
  - type: FAQ
    url: https://aws.amazon.com/rekognition/faqs/
- aid: amazon-rekognition:amazon-rekognition-custom-labels-api
  name: Amazon Rekognition Custom Labels API
  description: Train and use custom image classifiers.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Custom Labels
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-custom-labels-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/rekognition/latest/dg/what-is.html
  - type: APIReference
    url: https://docs.aws.amazon.com/rekognition/latest/APIReference/Welcome.html
  - type: GettingStarted
    url: https://docs.aws.amazon.com/rekognition/latest/dg/getting-started.html
  - type: Authentication
    url: https://docs.aws.amazon.com/rekognition/latest/dg/security_iam_service-with-iam.html
  - type: Pricing
    url: https://aws.amazon.com/rekognition/pricing/
  - type: FAQ
    url: https://aws.amazon.com/rekognition/faqs/
- aid: amazon-rekognition:amazon-rekognition-face-collections-api
  name: Amazon Rekognition Face Collections API
  description: Create and manage searchable face collections.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Face Collections
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-face-collections-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/rekognition/latest/dg/what-is.html
  - type: APIReference
    url: https://docs.aws.amazon.com/rekognition/latest/APIReference/Welcome.html
  - type: GettingStarted
    url: https://docs.aws.amazon.com/rekognition/latest/dg/getting-started.html
  - type: Authentication
    url: https://docs.aws.amazon.com/rekognition/latest/dg/security_iam_service-with-iam.html
  - type: Pricing
    url: https://aws.amazon.com/rekognition/pricing/
  - type: FAQ
    url: https://aws.amazon.com/rekognition/faqs/
- aid: amazon-rekognition:amazon-rekognition-face-liveness-api
  name: Amazon Rekognition Face Liveness API
  description: Verify that a user is physically present during identity verification.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Face Liveness
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-face-liveness-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/rekognition/latest/dg/what-is.html
  - type: APIReference
    url: https://docs.aws.amazon.com/rekognition/latest/APIReference/Welcome.html
  - type: GettingStarted
    url: https://docs.aws.amazon.com/rekognition/latest/dg/getting-started.html
  - type: Authentication
    url: https://docs.aws.amazon.com/rekognition/latest/dg/security_iam_service-with-iam.html
  - type: Pricing
    url: https://aws.amazon.com/rekognition/pricing/
  - type: FAQ
    url: https://aws.amazon.com/rekognition/faqs/
- aid: amazon-rekognition:amazon-rekognition-face-search-api
  name: Amazon Rekognition Face Search API
  description: Search for matching faces within collections.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Face Search
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-face-search-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/rekognition/latest/dg/what-is.html
  - type: APIReference
    url: https://docs.aws.amazon.com/rekognition/latest/APIReference/Welcome.html
  - type: GettingStarted
    url: https://docs.aws.amazon.com/rekognition/latest/dg/getting-started.html
  - type: Authentication
    url: https://docs.aws.amazon.com/rekognition/latest/dg/security_iam_service-with-iam.html
  - type: Pricing
    url: https://aws.amazon.com/rekognition/pricing/
  - type: FAQ
    url: https://aws.amazon.com/rekognition/faqs/
- aid: amazon-rekognition:amazon-rekognition-facial-analysis-api
  name: Amazon Rekognition Facial Analysis API
  description: Detect and analyze faces with detailed attributes.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Facial Analysis
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-facial-analysis-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/rekognition/latest/dg/what-is.html
  - type: APIReference
    url: https://docs.aws.amazon.com/rekognition/latest/APIReference/Welcome.html
  - type: GettingStarted
    url: https://docs.aws.amazon.com/rekognition/latest/dg/getting-started.html
  - type: Authentication
    url: https://docs.aws.amazon.com/rekognition/latest/dg/security_iam_service-with-iam.html
  - type: Pricing
    url: https://aws.amazon.com/rekognition/pricing/
  - type: FAQ
    url: https://aws.amazon.com/rekognition/faqs/
- aid: amazon-rekognition:amazon-rekognition-image-analysis-api
  name: Amazon Rekognition Image Analysis API
  description: Detect labels, objects, scenes, and concepts in images.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Image Analysis
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-image-analysis-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/rekognition/latest/dg/what-is.html
  - type: APIReference
    url: https://docs.aws.amazon.com/rekognition/latest/APIReference/Welcome.html
  - type: GettingStarted
    url: https://docs.aws.amazon.com/rekognition/latest/dg/getting-started.html
  - type: Authentication
    url: https://docs.aws.amazon.com/rekognition/latest/dg/security_iam_service-with-iam.html
  - type: Pricing
    url: https://aws.amazon.com/rekognition/pricing/
  - type: FAQ
    url: https://aws.amazon.com/rekognition/faqs/
- aid: amazon-rekognition:amazon-rekognition-stored-video-analysis-api
  name: Amazon Rekognition Stored Video Analysis API
  description: Asynchronous analysis of videos stored in Amazon S3.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Stored Video Analysis
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-stored-video-analysis-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/rekognition/latest/dg/what-is.html
  - type: APIReference
    url: https://docs.aws.amazon.com/rekognition/latest/APIReference/Welcome.html
  - type: GettingStarted
    url: https://docs.aws.amazon.com/rekognition/latest/dg/getting-started.html
  - type: Authentication
    url: https://docs.aws.amazon.com/rekognition/latest/dg/security_iam_service-with-iam.html
  - type: Pricing
    url: https://aws.amazon.com/rekognition/pricing/
  - type: FAQ
    url: https://aws.amazon.com/rekognition/faqs/
- aid: amazon-rekognition:amazon-rekognition-text-detection-api
  name: Amazon Rekognition Text Detection API
  description: Detect and extract text from images and videos.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Text Detection
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-text-detection-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/rekognition/latest/dg/what-is.html
  - type: APIReference
    url: https://docs.aws.amazon.com/rekognition/latest/APIReference/Welcome.html
  - type: GettingStarted
    url: https://docs.aws.amazon.com/rekognition/latest/dg/getting-started.html
  - type: Authentication
    url: https://docs.aws.amazon.com/rekognition/latest/dg/security_iam_service-with-iam.html
  - type: Pricing
    url: https://aws.amazon.com/rekognition/pricing/
  - type: FAQ
    url: https://aws.amazon.com/rekognition/faqs/
- aid: amazon-rekognition:amazon-rekognition-dataset-api
  name: Amazon Rekognition Rekognition Dataset API
  description: The Rekognition Dataset API from Amazon Rekognition — 3 operation(s) for rekognition dataset.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Rekognition Dataset
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-dataset-api-openapi.yml
- aid: amazon-rekognition:amazon-rekognition-face-api
  name: Amazon Rekognition Rekognition Face API
  description: The Rekognition Face API from Amazon Rekognition — 6 operation(s) for rekognition face.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Rekognition Face
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-face-api-openapi.yml
- aid: amazon-rekognition:amazon-rekognition-media-analysis-job-api
  name: Amazon Rekognition Rekognition Media Analysis Job API
  description: The Rekognition Media Analysis Job API from Amazon Rekognition — 3 operation(s) for rekognition media analysis
    job.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Rekognition Media Analysis Job
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-media-analysis-job-api-openapi.yml
- aid: amazon-rekognition:amazon-rekognition-operations-api
  name: Amazon Rekognition Rekognition Operations API
  description: The Rekognition Operations API from Amazon Rekognition — 21 operation(s) for rekognition operations.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Rekognition Operations
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-operations-api-openapi.yml
- aid: amazon-rekognition:amazon-rekognition-project-api
  name: Amazon Rekognition Rekognition Project API
  description: The Rekognition Project API from Amazon Rekognition — 3 operation(s) for rekognition project.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Rekognition Project
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-project-api-openapi.yml
- aid: amazon-rekognition:amazon-rekognition-project-policy-api
  name: Amazon Rekognition Rekognition Project Policy API
  description: The Rekognition Project Policy API from Amazon Rekognition — 3 operation(s) for rekognition project policy.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Rekognition Project Policy
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-project-policy-api-openapi.yml
- aid: amazon-rekognition:amazon-rekognition-project-version-api
  name: Amazon Rekognition Rekognition Project Version API
  description: The Rekognition Project Version API from Amazon Rekognition — 5 operation(s) for rekognition project version.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Rekognition Project Version
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-project-version-api-openapi.yml
- aid: amazon-rekognition:amazon-rekognition-stream-processor-api
  name: Amazon Rekognition Rekognition Stream Processor API
  description: The Rekognition Stream Processor API from Amazon Rekognition — 7 operation(s) for rekognition stream processor.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Rekognition Stream Processor
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-stream-processor-api-openapi.yml
- aid: amazon-rekognition:amazon-rekognition-user-api
  name: Amazon Rekognition Rekognition User API
  description: The Rekognition User API from Amazon Rekognition — 5 operation(s) for rekognition user.
  humanURL: https://aws.amazon.com/rekognition/
  baseURL: https://rekognition.amazonaws.com
  tags:
  - Rekognition User
  properties:
  - type: OpenAPI
    url: openapi/amazon-rekognition-user-api-openapi.yml
common:
- type: RateLimits
  url: rate-limits/amazon-rekognition-rate-limits.yml
- type: FinOps
  url: finops/amazon-rekognition-finops.yml
- type: Plans
  url: plans/amazon-rekognition-plans-pricing.yml
- type: Website
  url: https://aws.amazon.com/rekognition/
- type: AgenticAccess
  url: agentic-access/amazon-rekognition-agentic-access.yml
- type: TrustCenter
  url: security/amazon-rekognition-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/amazon-rekognition-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/amazon-rekognition-domain-security.yml
- type: Authentication
  url: authentication/amazon-rekognition-authentication.yml
- type: Packages
  url: packages/amazon-rekognition-packages.yml
- type: MCPServer
  url: mcp/amazon-rekognition-mcp.yml
- type: WellKnown
  url: well-known/amazon-rekognition-well-known.yml
- type: SecurityTxt
  url: well-known/amazon-rekognition-security.txt
- type: LLMsTxt
  url: llms/amazon-rekognition-llms.txt
- type: Overlay
  url: overlays/amazon-rekognition-openapi-overlay.yaml
- type: ErrorCatalog
  url: errors/amazon-rekognition-problem-types.yml
- type: Lifecycle
  url: lifecycle/amazon-rekognition-lifecycle.yml
- type: Conformance
  url: conformance/amazon-rekognition-conformance.yml
- type: Conventions
  url: conventions/amazon-rekognition-conventions.yml
- type: ChangeLog
  url: changelog/amazon-rekognition-changelog.yml
- type: CLI
  url: cli/amazon-rekognition-cli.yml
- type: Components
  url: components/amazon-rekognition-components.yml
- type: DataModel
  url: data-model/amazon-rekognition-data-model.yml
- type: PostmanWorkspace
  url: https://www.postman.com/kinlaneapi/amazon-rekognition/overview
- type: Arazzo
  url: arazzo/amazon-rekognition-celebrity-scene-context-workflow.yml
  name: Amazon Rekognition Celebrity Scene Context
- type: Arazzo
  url: arazzo/amazon-rekognition-custom-labels-and-moderate-workflow.yml
  name: Amazon Rekognition Custom Labels and Moderate
- type: Arazzo
  url: arazzo/amazon-rekognition-detect-then-compare-faces-workflow.yml
  name: Amazon Rekognition Detect then Compare Faces
- type: Arazzo
  url: arazzo/amazon-rekognition-enroll-and-search-face-workflow.yml
  name: Amazon Rekognition Enroll and Search a Face
- type: Arazzo
  url: arazzo/amazon-rekognition-face-liveness-session-workflow.yml
  name: Amazon Rekognition Face Liveness Session
- type: Arazzo
  url: arazzo/amazon-rekognition-label-and-moderate-image-workflow.yml
  name: Amazon Rekognition Label and Moderate an Image
- type: Arazzo
  url: arazzo/amazon-rekognition-quality-gated-enrollment-workflow.yml
  name: Amazon Rekognition Quality Gated Enrollment
- type: Arazzo
  url: arazzo/amazon-rekognition-reuse-or-create-collection-enroll-workflow.yml
  name: Amazon Rekognition Reuse or Create Collection then Enroll
- type: Arazzo
  url: arazzo/amazon-rekognition-text-and-moderation-screen-workflow.yml
  name: Amazon Rekognition Text and Moderation Screen
- type: Arazzo
  url: arazzo/amazon-rekognition-verify-face-against-collection-workflow.yml
  name: Amazon Rekognition Verify a Face Against a Collection
- type: Arazzo
  url: arazzo/amazon-rekognition-video-label-detection-job-workflow.yml
  name: Amazon Rekognition Video Label Detection Job
- type: Portal
  url: https://aws.amazon.com/
- type: DeveloperPortal
  url: https://aws.amazon.com/rekognition/
- type: Documentation
  url: https://docs.aws.amazon.com/rekognition/
- type: Console
  url: https://console.aws.amazon.com/rekognition/
- type: Signup
  url: https://portal.aws.amazon.com/billing/signup
- type: Pricing
  url: https://aws.amazon.com/rekognition/pricing/
- type: TermsOfService
  url: https://aws.amazon.com/service-terms/
- type: PrivacyPolicy
  url: https://aws.amazon.com/privacy/
- type: Support
  url: https://aws.amazon.com/support/
- type: FAQ
  url: https://aws.amazon.com/rekognition/faqs/
- type: Blog
  url: https://aws.amazon.com/blogs/machine-learning/
- type: GitHubOrganization
  url: https://github.com/aws
- type: StatusPage
  url: https://health.aws.amazon.com/health/status
- type: YouTube
  url: https://www.youtube.com/user/AmazonWebServices
- type: StackOverflow
  url: https://stackoverflow.com/questions/tagged/amazon-rekognition
- type: Contact
  url: https://aws.amazon.com/contact-us/
- type: Security
  url: https://aws.amazon.com/security/
- type: Compliance
  url: https://aws.amazon.com/compliance/
- type: KnowledgeCenter
  url: https://repost.aws/knowledge-center
- type: SpectralRules
  url: rules/amazon-rekognition-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/amazon-rekognition-vocabulary.yaml
- type: Features
  data:
  - name: Object and Scene Detection
    description: Detect thousands of objects, scenes, and concepts in images and videos with high confidence scores using
      deep learning.
  - name: Facial Analysis
    description: Detect and analyze faces with attributes including age range, emotions, gender, and facial landmarks.
  - name: Face Comparison
    description: Compare faces across images to determine if they are the same person with a similarity score.
  - name: Face Collections
    description: Create searchable face collections to index and search millions of faces in near real-time.
  - name: Celebrity Recognition
    description: Identify thousands of celebrities in images and videos across categories like sports, entertainment, and
      politics.
  - name: Text Detection
    description: Detect and extract printed and handwritten text from images and videos in multiple languages.
  - name: Content Moderation
    description: Detect explicit, inappropriate, or violent content in images and videos for automated content moderation.
  - name: Custom Labels
    description: Build and train custom image classifiers using your own labeled images for domain-specific object detection.
  - name: Protective Equipment Detection
    description: Detect personal protective equipment such as face covers, hand covers, and head covers on persons in images.
  - name: Face Liveness Detection
    description: Verify that a user is physically present during identity verification to prevent spoofing attacks.
  - name: People Pathing
    description: Track and follow identified people across frames in stored video footage.
  - name: Video Segmentation
    description: Identify technical cues and segments such as black frames, end credits, and color bars in video content.
  - name: Streaming Video Analysis
    description: Analyze live streaming video in real-time using Amazon Kinesis Video Streams integration.
  - name: Image Properties Analysis
    description: Evaluate image quality attributes including sharpness, brightness, contrast, and dominant colors.
- type: UseCases
  data:
  - name: Identity Verification
    description: Verify user identities by comparing selfies to ID documents or previously stored face images for onboarding
      and authentication.
  - name: Content Moderation
    description: Automatically moderate user-generated content on platforms to detect and filter explicit or inappropriate
      imagery.
  - name: Searchable Media Libraries
    description: Build searchable image and video archives by automatically tagging media with detected labels, faces, and
      text.
  - name: Workplace Safety Compliance
    description: Monitor camera feeds to detect whether workers are wearing required personal protective equipment in industrial
      settings.
  - name: Fraud Prevention
    description: Prevent identity fraud during digital onboarding by using face liveness detection to confirm real users.
  - name: Smart Retail Analytics
    description: Analyze in-store camera feeds to track customer behavior, measure foot traffic, and optimize product placement.
  - name: Public Safety and Security
    description: Search video archives for persons of interest by comparing faces against a known collection.
  - name: Media and Entertainment
    description: Automatically tag celebrities in photos and videos for media companies to improve content discoverability.
  - name: Custom Object Detection
    description: Train custom classifiers to detect proprietary products, logos, brand assets, or industry-specific objects.
- type: Integrations
  data:
  - name: Amazon S3
    description: Process images and videos stored in Amazon S3 buckets directly without downloading content.
  - name: Amazon Kinesis Video Streams
    description: Analyze live video streams in real-time by integrating with Kinesis Video Streams for streaming analysis.
  - name: AWS Lambda
    description: Trigger serverless analysis pipelines by invoking Rekognition from Lambda functions in event-driven architectures.
  - name: Amazon SNS
    description: Receive asynchronous notifications when stored video analysis jobs complete via Amazon SNS.
  - name: AWS IAM
    description: Control access to Rekognition APIs using AWS Identity and Access Management policies and roles.
  - name: Amazon CloudWatch
    description: Monitor Rekognition API usage, latency, and error metrics through CloudWatch dashboards and alarms.
  - name: AWS Step Functions
    description: Orchestrate multi-step computer vision workflows using Step Functions to chain Rekognition operations.
  - name: Amazon Augmented AI (A2I)
    description: Route low-confidence Rekognition predictions to human reviewers using Amazon Augmented AI for quality control.
- type: JSONLD
  url: json-ld/amazon-rekognition-context.jsonld
- type: JSONSchema
  url: json-schema/amazon-rekognition-bounding-box-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-compare-faces-request-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-compare-faces-response-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-create-collection-request-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-create-collection-response-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-create-face-liveness-session-request-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-create-face-liveness-session-response-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-detect-custom-labels-request-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-detect-custom-labels-response-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-detect-faces-request-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-detect-faces-response-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-detect-labels-request-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-detect-labels-response-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-detect-moderation-labels-request-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-detect-moderation-labels-response-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-detect-text-response-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-detectlabelsresponse-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-face-detail-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-get-face-liveness-session-results-request-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-get-face-liveness-session-results-response-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-get-label-detection-response-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-get-video-job-result-request-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-image-only-request-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-image-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-index-faces-request-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-index-faces-response-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-label-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-list-collections-response-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-notification-channel-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-recognize-celebrities-response-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-s3-object-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-search-faces-by-image-request-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-search-faces-by-image-response-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-start-label-detection-request-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-start-video-job-response-schema.json
- type: JSONSchema
  url: json-schema/amazon-rekognition-video-schema.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-bounding-box-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-compare-faces-request-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-compare-faces-response-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-create-collection-request-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-create-collection-response-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-create-face-liveness-session-request-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-create-face-liveness-session-response-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-detect-custom-labels-request-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-detect-custom-labels-response-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-detect-faces-request-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-detect-faces-response-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-detect-labels-request-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-detect-labels-response-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-detect-moderation-labels-request-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-detect-moderation-labels-response-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-detect-text-response-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-detectlabelsresponse-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-face-detail-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-get-face-liveness-session-results-request-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-get-face-liveness-session-results-response-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-get-label-detection-response-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-get-video-job-result-request-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-image-only-request-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-image-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-index-faces-request-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-index-faces-response-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-label-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-list-collections-response-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-notification-channel-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-recognize-celebrities-response-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-s3-object-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-search-faces-by-image-request-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-search-faces-by-image-response-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-start-label-detection-request-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-start-video-job-response-structure.json
- type: JSONStructure
  url: json-structure/amazon-rekognition-video-structure.json
- type: Examples
  url: examples/amazon-rekognition-bounding-box-example.json
- type: Examples
  url: examples/amazon-rekognition-compare-faces-request-example.json
- type: Examples
  url: examples/amazon-rekognition-compare-faces-response-example.json
- type: Examples
  url: examples/amazon-rekognition-create-collection-request-example.json
- type: Examples
  url: examples/amazon-rekognition-create-collection-response-example.json
- type: Examples
  url: examples/amazon-rekognition-create-face-liveness-session-request-example.json
- type: Examples
  url: examples/amazon-rekognition-create-face-liveness-session-response-example.json
- type: Examples
  url: examples/amazon-rekognition-detect-custom-labels-request-example.json
- type: Examples
  url: examples/amazon-rekognition-detect-custom-labels-response-example.json
- type: Examples
  url: examples/amazon-rekognition-detect-faces-request-example.json
- type: Examples
  url: examples/amazon-rekognition-detect-faces-response-example.json
- type: Examples
  url: examples/amazon-rekognition-detect-labels-request-example.json
- type: Examples
  url: examples/amazon-rekognition-detect-labels-response-example.json


# --- truncated at 32 KB (34 KB total) ---
# Full source: https://artifacts.apis.io/amazon-rekognition/apis.yml

Amazon Rekognition API — frequently asked questions

Does Amazon Rekognition have an API?

Yes. APIs.io lists 19 APIs from Amazon Rekognition, including Amazon Rekognition Celebrity Recognition API, Amazon Rekognition Content Moderation API and Amazon Rekognition Custom Labels API, and 16 more.

Is there an OpenAPI specification for the Amazon Rekognition API?

Yes. APIs.io indexes 19 OpenAPI specifications for Amazon Rekognition, each linked for download from this page.

How do I authenticate with the Amazon Rekognition API?

Amazon Rekognition uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Amazon Rekognition Authentication.

How much does the Amazon Rekognition API cost?

Amazon Rekognition publishes its prices; its Rekognition Image – Group 2 (DetectLabels), first 1 million images plan is $0.0010 per image as of 2026-10-07. APIs.io lists 13 pricing plans for Amazon Rekognition, with each plan's price, limits and inclusions under Pricing on this page.

Does Amazon Rekognition have an MCP server?

Yes. APIs.io lists 1 MCP server for Amazon Rekognition: Local (stdio) MCP server; 8 tools listed.

Is the Amazon Rekognition API ready for AI agents?

Amazon Rekognition has a Kin Score of 71.9 out of 100 (exemplar) and an Agent Readiness score of 39.9 (agent-native), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

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curl "https://apis.io/api/v1/providers/amazon-rekognition"

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curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/amazon-rekognition/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/amazon-rekognition/evidence"

Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.

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