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.
Kin Score
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.
Amazon Rekognition
POSTMANOpen Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Amazon Rekognition
OPEN COLLECTIONArazzo 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.
ARAZZOAmazon Rekognition Custom Labels and Moderate
Run a Custom Labels model on an image and then screen the same image for unsafe content.
ARAZZOAmazon Rekognition Detect then Compare Faces
Confirm a face exists in the source image, then compare it against every face in a target image.
ARAZZOAmazon Rekognition Enroll and Search a Face
Create a face collection, index a face into it, then search the collection by a query image.
ARAZZOAmazon Rekognition Face Liveness Session
Create a Face Liveness session, then poll for its results until a terminal status is reached.
ARAZZOAmazon Rekognition Label and Moderate an Image
Detect general labels in an image and then screen the same image for unsafe content.
ARAZZOAmazon Rekognition Quality Gated Enrollment
Detect a face and check its quality, then index it into a collection only when a face is present.
ARAZZOAmazon Rekognition Reuse or Create Collection then Enroll
List collections, branch to create the collection only if missing, then index a face into it.
ARAZZOAmazon Rekognition Text and Moderation Screen
Extract text from an image and then screen the same image for unsafe content.
ARAZZOAmazon 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.
ARAZZOAmazon Rekognition Video Label Detection Job
Start an asynchronous video label detection job, poll until it succeeds, then read the results.
ARAZZOScroll for all 11
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
amazon-rekognition-mcp.yml
MCP SERVERGraphQL 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...
GRAPHQLPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Amazon Rekognition Rate Limits
RATE LIMITSFinOps 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
JSON-LDSpectral Rules 2
Spectral governance rulesets for linting and validating these APIs.
Amazon Rekognition API Rules
SPECTRALAmazon Rekognition API Rules
SPECTRALJSON Schema 36
Standalone JSON Schema definitions for this provider's data models.
BoundingBox
JSON SCHEMACompareFacesRequest
JSON SCHEMACompareFacesResponse
JSON SCHEMACreateCollectionRequest
JSON SCHEMACreateCollectionResponse
JSON SCHEMACreateFaceLivenessSessionRequest
JSON SCHEMACreateFaceLivenessSessionResponse
JSON SCHEMADetectCustomLabelsRequest
JSON SCHEMADetectCustomLabelsResponse
JSON SCHEMADetectFacesRequest
JSON SCHEMADetectFacesResponse
JSON SCHEMADetectLabelsRequest
JSON SCHEMADetectLabelsResponse
JSON SCHEMADetectModerationLabelsRequest
JSON SCHEMADetectModerationLabelsResponse
JSON SCHEMADetectTextResponse
JSON SCHEMADetectLabelsResponse
JSON SCHEMAFaceDetail
JSON SCHEMAGetFaceLivenessSessionResultsRequest
JSON SCHEMAGetFaceLivenessSessionResultsResponse
JSON SCHEMAGetLabelDetectionResponse
JSON SCHEMAGetVideoJobResultRequest
JSON SCHEMAImageOnlyRequest
JSON SCHEMAImage
JSON SCHEMAIndexFacesRequest
JSON SCHEMAIndexFacesResponse
JSON SCHEMALabel
JSON SCHEMAListCollectionsResponse
JSON SCHEMANotificationChannel
JSON SCHEMARecognizeCelebritiesResponse
JSON SCHEMAS3Object
JSON SCHEMASearchFacesByImageRequest
JSON SCHEMASearchFacesByImageResponse
JSON SCHEMAStartLabelDetectionRequest
JSON SCHEMAStartVideoJobResponse
JSON SCHEMAVideo
JSON SCHEMAScroll for all 36
JSON Structure 36
JSON Structure definitions describing this provider's data shapes.
Amazon Rekognition Bounding Box Structure
JSON STRUCTUREAmazon Rekognition Compare Faces Request Structure
JSON STRUCTUREAmazon Rekognition Compare Faces Response Structure
JSON STRUCTUREAmazon Rekognition Create Collection Request Structure
JSON STRUCTUREAmazon Rekognition Create Collection Response Structure
JSON STRUCTUREAmazon Rekognition Detect Faces Request Structure
JSON STRUCTUREAmazon Rekognition Detect Faces Response Structure
JSON STRUCTUREAmazon Rekognition Detect Labels Request Structure
JSON STRUCTUREAmazon Rekognition Detect Labels Response Structure
JSON STRUCTUREAmazon Rekognition Detect Text Response Structure
JSON STRUCTUREAmazon Rekognition Detectlabelsresponse Structure
JSON STRUCTUREAmazon Rekognition Face Detail Structure
JSON STRUCTUREAmazon Rekognition Image Only Request Structure
JSON STRUCTUREAmazon Rekognition Image Structure
JSON STRUCTUREAmazon Rekognition Index Faces Request Structure
JSON STRUCTUREAmazon Rekognition Index Faces Response Structure
JSON STRUCTUREAmazon Rekognition Label Structure
JSON STRUCTUREAmazon Rekognition List Collections Response Structure
JSON STRUCTUREAmazon Rekognition Notification Channel Structure
JSON STRUCTUREAmazon Rekognition S3 Object Structure
JSON STRUCTUREAmazon Rekognition Start Video Job Response Structure
JSON STRUCTUREAmazon Rekognition Video Structure
JSON STRUCTUREScroll for all 36
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.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
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