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SightRadar
SightRadar — Rekognition-compatible face recognition API: index, search, compare and detect faces, pay per photo.
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
Free to start with trial credits, no credit card required. Pay-as-you-go prepaid credits, no subscription and no minimums.
- Who it is for
- Developers and teams on AWS Rekognition, event photographers, and apps adding selfie-based identity verification.
- Problem it solves
- Teams that need face search, verification and detection at scale face high AWS Rekognition bills, and switching providers usually means rewriting integration code. Event and wedding photographers need to deliver each guest's photos from thousands of shots, and apps adding KYC or onboarding need reliable 1:1 face verification without building their own models.
- The solution
- SightRadar is a Rekognition-compatible face recognition API. Point the AWS SDK (boto3 and others) at SightRadar's endpoint and existing code keeps working. Index photos into collections, find one person across thousands of photos from a single selfie, compare two faces with a similarity threshold you choose, and detect faces with confidence scores. Photos with no faces return valid empty results, not errors. SDKs are on npm and PyPI, plus a Rekognition shim for Python.
- What makes it unique
- It is a drop-in replacement for AWS Rekognition: the same request and response shapes (CreateCollection, IndexFaces, SearchFacesByImage, CompareFaces, DetectFaces), so you migrate by changing the endpoint URL. Billing is per photo, never per face: batch indexing from $0.00062 per photo and real-time $0.00093 per photo, with no subscription or minimums. Privacy by design: GDPR-ready with a Data Processing Agreement, face vectors isolated and encrypted per account and never used for model training.
Starting price: From $0.00062 per photo, pay-as-you-go
View current pricingFeatures
Drop-in AWS Rekognition replacement
Same API shapes, change only the endpoint.
Face search from a single selfie
Find one person across collections of thousands of photos.
1:1 face verification
Compare two faces with a similarity threshold you configure.
Face detection
Detect faces with confidence scores you can threshold on.
Per-photo billing
Never per face, with no subscription or minimums.
Privacy by design
GDPR-ready with a DPA; vectors encrypted per account, never used for training.
Details
- Platforms
- API
- Web
- Pricing
- Freemium
- Usage-based
- Free trial
- Built for
Developers and teams on AWS Rekognition, event photographers, and apps adding selfie-based identity verification.
- Building since
2026
Technology
A screen shot of a page with the words index, search and match faces at scale.
1 / 4Website performance
Independent mobile lab measurements and permanent weekly competition results from IndieTools Speed.
69GoodMobile Lighthouse
Last checked
- Load time
- 860 ms
- FCP
- 2.56 s
- LCP
- 10.63 s
- CLS
- 0.000
- TTFB
- 4 ms
- TBT
- 32 ms
- Speed index
- 4.35 s
Latest Performance Score: 69. Measured: October 14, 2026. Weekly Overall Rank: not finalized. LCP: 10.63 s. Load Time: 860 ms.
- Overall rank
- Not finalized
- Best overall rank
- Not finalized 0 top 10 finishes
- Best category rank
- Not finalized 0 category wins
- Latest change
- -4 score No finalized score yet
Website performance history
Inspect every successful mobile Lighthouse lab measurement by metric and date range.
Range
Metric
Latest score
69 / 100
Higher is better
4 measurements
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Oct 13, 2026Oct 14, 2026Related products
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