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A face recognition API for indexing, searching, comparing, and detecting faces with AWS Rekognition request and response shapes.

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Build face recognition into your application using an API that's compatible with Amazon Rekognition. This face recognition API helps developers create face search, identity verification, and face detection workflows while keeping the same request and response formats used by existing Rekognition integrations.

Deploy Face Recognition Without Rewriting Your Integration

The API is designed for teams already familiar with Amazon Rekognition. Instead of rewriting application logic, you can point your existing AWS SDK requests to a new endpoint and continue using the same operations, payloads, and response structures.

Whether you're building photo search, identity verification, attendance systems, media management, or consent-based facial recognition workflows, the API provides production-ready face indexing, matching, comparison, and detection capabilities.

Key Features

Face Collections

Organize and manage searchable face databases.

Collection management includes:

  • Create collections
  • List collections
  • Delete collections
  • Account-isolated storage
  • Collection administration

for organizing indexed faces.

Face Indexing

Store faces from images for future recognition.

Using IndexFaces, you can:

  • Detect faces
  • Create searchable face vectors
  • Build image galleries
  • Index multiple photos
  • Expand recognition collections

for large-scale face search.

Face Search

Find matching people from a single image.

Supported operations include:

  • SearchFacesByImage
  • SearchFaces
  • Gallery search
  • Face matching
  • Similarity scoring

across indexed collections.

Face Verification

Compare two faces for identity verification.

Using CompareFaces, applications can:

  • Verify identities
  • Compare two images
  • Calculate similarity scores
  • Evaluate confidence levels
  • Support identity workflows

without requiring indexed storage.

Face Detection

Locate faces without permanently storing them.

The DetectFaces operation supports:

  • Face detection
  • Face localization
  • Bounding boxes
  • Face analysis
  • Stateless image processing

for detection-only workflows.

Collection Management

Maintain and clean recognition databases over time.

Management operations include:

  • ListFaces
  • DeleteFaces
  • ListCollections
  • DeleteCollection
  • Face lifecycle management

through the API.

Flexible Matching Thresholds

Adjust recognition sensitivity for your application.

Matching responses include:

  • Similarity scores
  • Confidence scores
  • Threshold tuning
  • Match ranking
  • No-face detection results

to support different verification requirements.

Rekognition-Compatible API

Integrate without changing existing workflows.

Compatibility includes:

  • AWS SDK support
  • Matching request formats
  • Matching response formats
  • Familiar API operations
  • Minimal migration effort

for existing Rekognition users.

Built for Face Recognition Applications

The platform combines face indexing, face search, identity verification, face detection, collection management, and Rekognition-compatible APIs into one production-ready facial recognition service.

Key benefits include:

  • Face recognition API
  • Face search
  • Face verification
  • Face detection
  • Rekognition-compatible API

Built For

  • Software Developers
  • SaaS Platforms
  • Security Teams
  • Identity Verification Services
  • Photo Management Platforms
  • AI Engineering Teams

Common Use Cases

  • Photo gallery search
  • Identity verification
  • User authentication
  • Face detection
  • Media organization
  • Consent-based facial recognition

Why It Matters

Many teams already use Amazon Rekognition APIs and want alternative infrastructure without rewriting their applications. This face recognition API provides compatibility with existing Rekognition request and response formats, allowing developers to migrate by changing only the service endpoint instead of rebuilding application logic. With support for face collections, image indexing, gallery search, one-to-one face comparison, face detection, configurable similarity thresholds, and usage-based pricing per processed image, the platform offers a practical solution for production facial recognition systems while keeping indexed face data isolated by account and allowing complete removal through the API.

Add Face Recognition to Your Applications With a Rekognition-Compatible API

Index faces into searchable collections, find matches from a single image, compare two faces for identity verification, detect faces without storing them, manage collections through familiar API operations, and integrate with existing AWS SDK workflows by simply changing your API endpoint.

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