SightRadar
0💎💎💎💎💎
—/ 5
No ratings yetRate this app

About SightRadar
SightRadar is a face recognition API for teams that need face search, verification and detection at scale, without AWS Rekognition's pricing. It is Rekognition-compatible: point the AWS SDK (boto3 and others) at SightRadar's endpoint and your existing code keeps working. What you get: - Face search: find one person across thousands of photos from a single selfie (event photos, media libraries, photo delivery) - 1:1 verification: compare two faces with a similarity threshold you choose - Face detection with confidence scores you can threshold on - Rekognition-compatible API: CreateCollection, IndexFaces, SearchFacesByImage, CompareFaces, DetectFaces and more - Photos with no faces return valid empty results, not errors - Per-photo billing, never per face: batch indexing from $0.00062 per photo, real-time $0.00093 per photo - Privacy by design: GDPR-ready with a Data Processing Agreement, face vectors isolated and encrypted per account, never used for model training - SDKs on npm and PyPI, plus a Rekognition shim for Python The AI is the face recognition engine itself: face embeddings tuned to hold up across pose, lighting and age, with calibrated similarity scores you can set your own threshold on. Built for consented use: SightRadar's Terms require a lawful basis and consent, and prohibit unlawful surveillance or covert tracking. Free to start with trial credits, no credit card required. Pay-as-you-go prepaid credits, no subscription and no minimums.Problem & Unique Value
🎯 Problem Being Solved
Teams building photo delivery, identity verification or media search need face search, 1:1 verification and face detection at scale, but face API bills add up quickly and switching providers usually means rewriting the integration. SightRadar is a face recognition API built as a drop-in replacement for AWS Rekognition: same request and response shapes, billed per photo (never per face), with no subscription or minimums. Typical consented uses: event and wedding photographers delivering each guest's photos from one selfie, apps adding selfie-based KYC and onboarding, and media libraries searching people across their own archives.💎 What Makes It Unique
Rekognition-compatible: point the AWS SDK you already use (boto3 and others) at one new endpoint and your existing CreateCollection, IndexFaces, SearchFacesByImage, CompareFaces and DetectFaces calls keep working, so migrating needs no rewrite. Billing is per photo processed, never per face: batch indexing from $0.00062 per photo and real-time $0.00093 per photo, with no subscription or minimums. A photo with no faces is a valid empty result, not an error. Each account's face vectors are isolated, encrypted and never used for model training, there's a Data Processing Agreement, and indexed faces can be deleted any time via the API or console.🇮🇳 India-Specific Challenges Addressed
Pricing is per photo with prepaid credits and no subscription or minimums, so small Indian teams, such as event and wedding photographers or early-stage apps adding selfie-based KYC and onboarding, can start on free trial credits with no card and pay only for what they process. Indexed face data is hosted in India, and SightRadar's Terms are governed by Indian law.✨ Key Features
- 1Drop-in AWS Rekognition replacement: same API shapes, change only the endpoint
- 2Face search across collections from a single selfie
- 31:1 face verification with configurable similarity thresholds
- 4Face detection with confidence scores
- 5Per-photo billing (never per face), no subscription or minimums
- 6GDPR-ready with a DPA; vectors encrypted per account, never used for training
- 7SDKs for JavaScript (npm) and Python (PyPI)
🤖 AI & Technology
🗣️ Supported Languages
English
🏢 Industry / Domain
📍 Location & India Context
Headquarters
Pune, Maharashtra
Markets Served
Global
🇮🇳 Indian Founded0
Details
- Pricing
- Usage-based / Pay-per-use
- Primary Industry
- Developer Tools
- Founded
- 2026
- Website
- sightradar.com/
Business
- Target Audience
- DevelopersB2B
- Revenue Model
- Usage-based