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Measured on six things

Reverse face search engine: upload a photo, find someone ...

Accessibility

Web-based so keyboard navigation and screen readers should work okay. Supports common image formats. Lacks explicit mentions of WCAG compliance, contrast testing, or advanced accessibility features.

Screenshots

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Face ID Search

About this app

Face ID Search is a powerful reverse face search engine that uses advanced facial recognition to match faces across 200+ platforms, including social media, dating sites, news archives, and public records. Unlike traditional reverse image search, it identifies the same person from different photos, angles, and lighting conditions. With a claimed 98.7% accuracy and results in under 60 seconds, it's a go-to tool for catfish detection, background checks, OSINT investigations, and more. The service offers a free first search and one-time credit packages starting at $7, with strong privacy protections—images are deleted immediately after scanning. It's an affordable, private alternative to PimEyes and FaceCheck.id.

Key features

1Matches the same person across different photos, angles, lighting, and years using facial embeddings (not just reverse image)
2Searches 200+ platforms including major social, dating apps, news, and public records from a 50M+ face index
3Strong privacy with images deleted after processing, no training on user data, first search free, one-time credits from $7

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

Online daters (18-45)

Pain points

Uncertainty about catfish or fake profiles on dating apps

Primary needs

Verify identity using a profile photo

Demographic

HR professionals & landlords

Pain points

Need to vet candidates or tenants quickly without expensive background checks

Primary needs

Run fast, affordable background checks from a single photo

Demographic

OSINT investigators & journalists

Pain points

Manual cross-referencing across platforms is time-consuming

Primary needs

Automated face matching for identity tracing and alias discovery

Demographic

Security-conscious individuals (35-60)

Pain points

Risk of romance scams or impersonation

Primary needs

Detect stolen photos and verify online contacts

Scout Review

Written by AI from measured evidence, scored out of 100.

Face ID Search is a capable, privacy-oriented reverse face search tool that outperforms basic Google image search by actually matching the same person across different photos, angles, and years. With a 50M+ face index, 98.7% claimed accuracy, results in <60s, one-time pricing starting effectively at $3.50/search, and strong deletion policies, it's well-suited for catfish hunting, quick background checks, and OSINT without monthly fees. It's a solid, affordable alternative to PimEyes and FaceCheck.id for most consumers. Limitations include dependence on public sources only, potential accuracy variance in challenging conditions, and the inherent ethical gray areas of facial search tools. Great starting point but temper expectations with real-world variability.

Measure by measure

Usability

No account needed for first search. Simple 3-step process: upload, scan, view results with similarity scores and direct links. One-time credits are straightforward with no subscriptions.

Design

Clean, modern web interface with simple drag-and-drop upload, terminal-style demo results, and clear comparison tables. Professional but not groundbreaking UI/UX. Mobile-responsive as a web app.

Speed

Claims results in under 60 seconds. Real-world performance likely varies based on image quality and load. Uses vector matching on a 50M+ face index across 200+ platforms.

Security

Strong zero-retention focus with images deleted after processing (policy says 24-48 hours). No training on user data, payments via Lemon Squeezy, 30-day money-back guarantee. No account required initially.

Accessibility

Web-based so keyboard navigation and screen readers should work okay. Supports common image formats. Lacks explicit mentions of WCAG compliance, contrast testing, or advanced accessibility features.

Growth

Targets dating users, HR, OSINT, and security-conscious people effectively. Affordable one-time pricing ($7 starter for ~2 searches) undercuts subscription-heavy rivals. Growing interest in catfish/OSINT tools, but faces competition and accuracy skepticism.

Improvement areas

Provide transparent, independent accuracy testing rather than self-reported 98.7% (facial rec is notoriously variable)
Shorten actual image retention to true zero-retention and update marketing to match the privacy policy
Improve result quality with better false-positive handling, context on matches, and educational disclaimers
Expand accessibility features and mobile optimization for broader user base

Design & Usability

The site nails the basics with a straightforward upload flow, clear results showing confidence scores, source links, and platform detection. No login barrier for the first search lowers friction nicely for curious daters or quick background checks. Design feels trustworthy and techy without overwhelming users. However, it's still a basic web tool — nothing revolutionary in the interface, and deeper reports require buying credits. Usability shines for one-off investigations but could improve with better mobile optimization or guided result interpretation. Overall solid for the target audience of online daters and OSINT hobbyists.

Speed & Security

Speed claims of under 60 seconds are realistic for a facial embedding search against 50 million faces. The vector-based approach handles angles, lighting, and aging better than plain reverse image search. Security and privacy are a genuine strength: images aren't stored long-term, no model training, anonymous-first design, and clear prohibitions on illegal use. Payment security via established processor is reassuring. That said, facial recognition accuracy is notoriously hard to guarantee at 98.7% in the wild (lighting, ethnicity, quality all impact it), and the 24-48 hour deletion window is slightly longer than the marketing implies. Still one of the more privacy-conscious options in this space.

Accessibility & Growth

Accessibility is average for a modern web app — functional but not optimized with explicit features like high-contrast modes or detailed ARIA labels mentioned. Growth potential is decent given rising demand for affordable catfish detection and quick vetting tools among 18-45 daters, landlords, and journalists. One-time credits from $7 beat PimEyes' subscriptions and FaceCheck.id's higher per-search costs, with strong privacy as a differentiator. The 50M face index across 200+ platforms (social, dating, news, records) is respectable, though real-world results vary. Market is competitive and accuracy claims in facial tech always invite skepticism, limiting explosive growth without independent verification.

Conclusion

If you're tired of wasting time on fake profiles or need fast identity verification from a single photo, Face ID Search delivers convenient, relatively private results without locking you into subscriptions. It's not perfect — no reverse face tool is — but the balance of price, speed, privacy, and cross-platform reach makes it worth trying the free first search. Just remember: results are investigative leads, not courtroom proof. Use responsibly.

Suggestions for improvement

Add independent accuracy benchmarks or third-party audits to build more trust beyond the 98.7% claim.
Implement true immediate image deletion (under 1 hour) and clarify this prominently to match the marketing.
Improve result interpretation with better tutorials, false positive warnings, and integration with public record context.
Enhance mobile experience and add accessibility features like better contrast and voice-over optimization.

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	Face ID Search	PimEyes	FaceCheck.id	Google Reverse Image Search
Database Size & Coverage	50M+ faces, 200+ platforms (social, dating, news, public records)	Larger claimed (900M+ in description), mainly open web, excludes some social	Smaller index, strong on mugshots/criminal records	Billions of images but no dedicated face index or cross-photo matching
Pricing Model	Free first search, one-time credits ($7 Starter, $11 Pro, $29 Power) — no subscription	Subscription from $29.99/month for full features	Higher per-search (~$8.49), less flexible	Completely free
Face Matching vs Image Matching	Yes — robust facial recognition across angles, age, lighting	Yes, strong face recognition	Yes, with mugshot focus	No — only identical/near-identical images, no true face recognition
Privacy Focus	Strong — images deleted post-scan (24-48h per policy), no training, anonymous option	Moderate — opt-out available but less emphasis	Less emphasis in available info	Low — Google indexes widely, retains data per their policy