Amazon Rekognition website screenshot

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 publishes 10 APIs on the APIs.io network, including Celebrity Recognition API, Content Moderation API, Custom Labels API, and 7 more. Tagged areas include Celebrity Recognition, Computer Vision, Content Moderation, Custom Labels, and Deep Learning.

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 154 more developer resources.

74.5/100 exemplar ▬ flat Agent 61/100 agent ready Full breakdown ↓
scored 2026-07-28 · rubric v0.6
AccessFreemiumSelf serve⚡ Free to try
10 APIs 1 MCP Servers 14 Features 9 Use Cases
Celebrity RecognitionComputer VisionContent ModerationCustom LabelsDeep LearningFace LivenessFacial RecognitionImage AnalysisMachine LearningObject DetectionText DetectionVideo Analysis

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6
Composite quality — 74.5/100 · exemplar
Contract Quality 16.4 / 25
Developer Ergonomics 12.2 / 20
Commercial Clarity 17.4 / 20
Operational Transparency 10.3 / 13
Governance 9.6 / 12
Discoverability 8.7 / 10
Agent readiness — 61/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 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 4 / 4
Consent & Bot Identity 3 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/amazon-rekognition: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 10

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.

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Postman Collections 1

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

Open Collections 1

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

Amazon Rekognition

OPEN COLLECTION

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.

GraphQL 1

GraphQL schemas published by this provider.

Amazon Rekognition GraphQL Schema

This directory contains a conceptual GraphQL schema for the Amazon Rekognition API. The schema is derived from the Amazon Rekognition REST API and its public documentation at ht...

GRAPHQL

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Amazon Rekognition Rate Limits

5 limits

RATE LIMITS

FinOps 1

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

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 API Rules

5 rules · 4 warnings 1 info

SPECTRAL

Amazon Rekognition API Rules

23 rules · 8 errors 13 warnings 2 info

SPECTRAL

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 Face Detail Structure

6 properties

JSON STRUCTURE

Amazon Rekognition Image Structure

2 properties

JSON STRUCTURE

Amazon Rekognition Label Structure

4 properties

JSON STRUCTURE

Amazon Rekognition S3 Object Structure

3 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.

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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 · 15 acting

15 operations · 15 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

Documentation 37

Reference material describing how the API behaves

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Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 56

Pagination, idempotency, versioning, errors, and events

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Build 40

SDKs, sample code, and the tooling you integrate with

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Access & Security 7

Authentication, authorization, and security posture

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Learn 1

Tutorials, courses, talks, and written guidance

Operate 6

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

Other 2

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
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.
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  generated: '2026-07-22'
  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: '2026-06-20'
specificationVersion: '0.18'
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/
  - type: GraphQL
    url: graphql/amazon-rekognition-graphql.md
- 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/
  - type: GraphQL
    url: graphql/amazon-rekognition-graphql.md
- 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/
  - type: GraphQL
    url: graphql/amazon-rekognition-graphql.md
- 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/
  - type: GraphQL
    url: graphql/amazon-rekognition-graphql.md
- 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/
  - type: GraphQL
    url: graphql/amazon-rekognition-graphql.md
- 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/
  - type: GraphQL
    url: graphql/amazon-rekognition-graphql.md
- 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/
  - type: GraphQL
    url: graphql/amazon-rekognition-graphql.md
- 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/
  - type: GraphQL
    url: graphql/amazon-rekognition-graphql.md
- 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/
  - type: GraphQL
    url: graphql/amazon-rekognition-graphql.md
- 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/
  - type: GraphQL
    url: graphql/amazon-rekognition-graphql.md
common:
- 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
- type: Examples
  url: examples/amazon-rekognition-detect-moderation-labels-request-example.json
- type: Examples
  url: examples/amazon-rekognition-detect-moderation-labels-response-example.json
- type: Examples
  url: examples/amazon-rekognition-detect-text-response-example.json
- type: Examples
  url: examples/amazon-rekognition-detectlabelsresponse-example.json
- type: Examples
  url: examples/amazon-rekognition-face-detail-example.json
- type: Examples
  url: examples/amazon-rekognition-get-face-liveness-session-results-request-example.json
- type: Examples
  url: examples/amazon-rekognition-get-face-liveness-session-results-response-example.json
- type: Examples
  url: examples/amazon-rekognition-get-label-detection-response-example.json
- type: Examples
  url: examples/amazon-rekognition-get-video-job-result-request-example.json
- type: Examples
  url: examples/amazon-rekognition-image-example.json
- type: Examples
  url: examples/amazon-rekognition-image-only-request-example.json
- type: Examples
  url: examples/amazon-rekognition-index-faces-request-example.json
- type: Examples
  url: examples/amazon-rekognition-index-faces-response-example.json
- type: Examples
  url: examples/amazon-rekognition-label-example.json
- type: Examples
  url: examples/amazon-rekognition-list-collections-response-example.json
- type: Examples
  url: examples/amazon-rekognition-notification-channel-example.json
- type: Examples
  url: examples/amazon-rekognition-recognize-celebrities-response-example.json
- type: Examples
  url: examples/amazon-rekognition-s3-object-example.json
- type: Examples
  url: examples/amazon-rekognition-search-faces-by-image-request-example.json
- type: Examples
  url: examples/amazon-rekognition-search-faces-by-image-response-example.json
- type: Examples
  url: examples/amazon-rekognition-start-label-detection-request-example.json
- type: Examples
  url: examples/amazon-rekognition-start-video-job-response-example.json
- type: Examples
  url: examples/amazon-rekognition-video-example.json
- type: Integrations
  url: https://aws.amazon.com/partners/
maintainer:
  name: Kin Lane
  email: kin@apievangelist.com
tags:
- AWS
- Celebrity Recognition
- Computer Vision
- Content Moderation
- Custom Labels
- Deep Learning
- Face Liveness
- Facial Recognition
- Image Analysis
- Machine Learning
- Object Detection
- Text Detection
- Video Analysis
integrations:
- name: Partner Programs
- name: Resources
- name: Success Stories
- name: Work with an AWS Partner
- name: AWS Marketplace
- name: AWS Partner Central
- name: Partner Paths
- name: co-sell with AWS