Compare Two Faces — Are They the Same Person?

Wondering whether two photos show the same person? This page offers a free face comparison demo that runs entirely in your browser — upload two images, get a similarity percentage, and interpret results with appropriate skepticism. For comprehensive public web face search (finding where a face appears online), use Face ID Search — paid from $7, no subscription.

Try the Face Comparison Demo

Upload two clear face photos above. Processing happens on your device — images are not sent to our servers for the demo.

How Face Comparison Works (This Demo)

The demo resizes both images to a small grid, compares pixel values, and calculates a similarity percentage. It is intentionally simple:

1. Detect and center — both images normalized to same dimensions
2. Pixel diff — sum color channel differences across pixels
3. Score — convert difference to 0–100% similarity display

This differs from production face recognition, which uses neural network embeddings — mathematical face signatures invariant to lighting and angle within limits. Embeddings power how reverse face search works.

Demo limitations:

• Sensitive to lighting, crop, and angle differences between photos
• Cannot recognize same person across heavy makeup, age gaps, or obscured features reliably
• False positives possible on lookalikes with similar coloring
• Not tested for demographic fairness — do not use for high-stakes decisions

When to Use Face Comparison

Catfish suspicion. You have their dating profile photo and a photo they sent in chat — compare before paying for full search. If demo suggests low similarity, photos may be different people entirely. If high, run Face ID Search to find other public appearances.

Twin or sibling confusion. Family photos where identity matters for genealogy or curiosity — demo offers quick hint, not proof.

Impersonation check. Compare your own reference photo against a suspicious profile image someone sent claiming to be you.

Journalism rough triage. Quick same/different before investing OSINT resources — always verify with expert methods before publish.

When to Use Face Search Instead

Comparison requires both photos upfront. Face search needs one photo and discovers matches you do not have:

• Stolen profile photo appearing under other names online
• Finding all public copies of your face
• Scammer photo on scam-report databases
• OSINT investigation source tracing

Scammer face search and find your photos online pillars detail use cases.

Face Comparison vs Professional Biometrics

Law enforcement and forensic labs use controlled algorithms with known error rates, chain of custody, and expert testimony. Consumer demos and even commercial face search do not meet that bar.

| Use case | Appropriate tool | |----------|------------------| | Curiosity, education | This demo | | Fraud prevention, OSINT | Face ID Search | | Court identification | Forensic examiner | | FCRA employment screening | Licensed CRA — not face search |

Read background check by photo for legal distinctions.

Privacy

Demo: Client-side only — we do not receive your comparison uploads.

Paid search: Brief server processing, zero retention after scan completes. See privacy policy and opt-out.

Accuracy Tips for Better Demo Results

• Use photos with similar scale — faces roughly same size in frame
• Front-facing beats profile angle
• Matching lighting helps pixel comparison (demo weakness)
• Crop to face region

For paid search quality tips: best photo for face search.

Pricing for Real Searches

When demo suggests same person and you need online footprint:

| Plan | Credits | Price | |------|---------|-------| | Starter | 2 | $7 | | Standard | 7 | $11 | | Power | 20 | $29 |

7-day money-back guarantee. No monthly fee — contrast PimEyes ~$29.99/mo (June 2026, verify) in PimEyes alternative.

Technical Appendix: Why Pixel Compare Differs From Embeddings

Neural face embeddings map faces into high-dimensional space where distance correlates with identity similarity invariant to mild pose and lighting changes. Pixel comparison lacks invariance — two photos of same person with different white balance may score lower than lookalikes with similar compression artifacts. This demo chooses transparency and client-side privacy over embedding accuracy. Production Face ID Search uses embedding-based public web search.

Developers evaluating browser-side face-api.js or TensorFlow.js models can upgrade demo accuracy while preserving local processing — future product iteration path distinct from paid server index search.

Use in Education and Training

Dating safety workshops can demo comparison live — audience uploads pairwise photos, discusses limits, then instructor runs paid Face ID Search on suspicious profile showing public web discovery layer. Pedagogical sequence beats jumping straight to paid tools without understanding pairwise vs index search distinction.

Twins and Family Studies

Identical twins produce high demo scores; fraternal twins vary. Genealogy hobbyists should treat scores as entertainment. DNA evidence resolves relationship questions face comparison cannot.

Accessibility

Demo relies on visual upload — screen reader users may need assisted upload. Paid search flow should meet WCAG where product roadmap allows; demo page documents limitation honestly.

Browser Compatibility Notes

Client-side demo requires modern browser with canvas support — Safari, Chrome, Firefox current versions. Private browsing modes still process locally without persistence. No IE11 support.

Comparison Score Interpretation Guide

Above 85% on demo: likely same photo file or extreme similarity — investigate further. 60–85%: inconclusive without embedding tech. Below 60%: likely different sources or heavy editing. Thresholds approximate not calibrated.

Integration With Paid Funnel

Demo users converting to paid search often compare dating profile to match's photo first — demo shows mismatch triggering full search for profile photo across web. Product analytics should track demo-to-paid if instrumentation exists.

Forensic Disclaimer Reinforcement

Schools and NGOs using demo in curriculum must disclaim non-forensic nature prominently — prevent student misuse in bullying contexts comparing classmates without consent.

Mobile Upload Considerations

Mobile browsers support demo — orientation EXIF may rotate preview; re-upload if faces appear sideways. Paid search accepts same mobile uploads with identical preprocessing pipeline.

Pairwise vs One-to-Many Mental Model

Users sometimes expect demo to search internet for lookalikes — clarify one-to-many requires Face ID Search paid index. Support FAQ reduces refund requests from misunderstood demo scope.

Security Research Disclosure

Demo pixel algorithm is intentionally naive — do not cite demo scores in vulnerability research or academic papers without noting non-production implementation.

Developer Notes for Maintainers

Demo algorithm intentionally unsophisticated for auditability — security researchers can read full client source in DevTools without obfuscation. Paid product server logic separate codebase with embedding pipeline — do not conflate in documentation or support responses.

Comparison With Paid Confidence Scores

Paid Face ID Search confidence scores derive from embedding distance calibrated on development set — incomparable numerically to demo pixel percentage. Users asking "why 72% demo vs 88% paid" need education on metric incomparability.

Classroom Demo Safety Guidelines

Teachers must obtain student consent before pairwise comparison demos using student photos — FERPA and minor privacy considerations prohibit mandatory participation using real student faces without parental permission letter on file for technology literacy unit using this demo page.

API Rate and Browser Memory Limits

Extremely large image uploads may fail client-side canvas processing — recommend compressing photos under five megabytes before demo upload for stable browser performance on older hardware common in library public computer labs hosting community scam awareness sessions linking to this tool page.

Product Education Funnel

Demo user education sequence: try demo pairwise, understand limit, read when to use face search instead, click InlineUploadCTA, purchase Starter credits, run real public web search, validate manually, become informed customer not refund request — content page architecture supports funnel intentionally with repeated calm pricing from seven dollars no subscription seven day refund trust strip consistency across tools pillar reverse face search hub reducing cognitive load for first time buyer anxious about YMYL privacy product category historically abused by shady vendors market corrected by transparent policy pages opt-out dmca linked footer every article.

Synthesis

The demo compares two local photos for educational pairwise similarity. Face ID Search performs indexed public-web matching with different technology and pricing from seven dollars. Use the right tool for the question you are actually asking.

Historical Note on Face Matching Technology

Automated face matching entered consumer awareness circa 2010s social photo tagging evolved commercial search products 2020s regulatory scrutiny 2020s EU AI Act biometrics categories US state BIPA litigation history informed current opt-out DMCA trust page requirements this demo educates without accessing regulated government watchlist databases consumer confusion prevention educational mission free tool page engagement dwell time SEO internal link graph strength site architecture pillar tools cluster complete.

Support Macro for Confused Users

When users email support confused about demo versus paid search, we clarify three points: the demo never uploads photos to our servers; paid Face ID Search scans a public web index and returns URLs; demo percentage scores are not comparable to paid confidence scores because algorithms differ entirely.

Direct confused users to pricing for public web search and keep the demo for quick pairwise checks between two photos they already possess locally.

Where to Go Next

If the demo shows high similarity between two local photos and the situation involves fraud, safety, or impersonation, continue to Face ID Search for public web discovery. If the demo shows low similarity, ask why two different people are being compared and whether you already have enough evidence to stop contact without further spending.

Workshop Handout Summary

Handout text you can reuse: "Local demo compares two photos on your device only. Public web search requires separate paid credits from seven dollars. Neither tool replaces legal identification, employment screening, or emergency services. For scams, stop payment first, then verify."

Privacy Reminder for Demos

Because processing stays local, demos are appropriate for sensitive comparisons you do not want uploaded anywhere yet. Once you need off-device index search, switch to Face ID Search with understanding that server processing applies briefly under zero-retention policy.

Compare Similar Lighting

For meaningful demo results, compare photos with vaguely similar lighting and angle. Wildly different conditions produce noisy scores that confuse rather than educate new users about pairwise comparison limits.

Educators Welcome

Teachers may link this demo in digital literacy units explaining difference between local toy algorithms and production identity systems used in public web search products with explicit privacy policies opt-out paths and DMCA compliance pages linked site footer trust infrastructure complete.

Additional Guidance

The demo teaches pairwise comparison limits. Face ID Search teaches public web discovery. Use both labels correctly when explaining results to friends or clients who conflate the two products.

Final Note

Use the demo for local pairwise checks. Use Face ID Search when the public web may hold answers you cannot see with two uploads alone. Pricing starts at seven dollars for two searches with a seven-day refund guarantee.

Support

Questions about demo versus paid search? See pricing and trust pages. Demo stays local; paid search uses zero-retention processing described in privacy policy.

Closing

Pairwise demo locally; indexed public search via Face ID Search when discovery matters.

Questions? Email support@faceidsearch.com or visit pricing for public web face search credits starting at seven dollars with seven-day refund.

Quick Recap

Free local demo for two photos. Paid Face ID Search for public web matches. Not forensic. Not a background check. Credits from $7, 7-day refund, images deleted after scan.

Summary

The demo teaches pairwise comparison on your device. Face ID Search answers whether a face already appears across the public web. Choose the tool that matches your question before you spend time or money.

Related tool: doppelganger finder uses the same local demo with a lookalike-focused introduction.

Related Tools and Guides

• Doppelgänger finder — lookalike-style demo with same engine
• Reverse face search pillar
• Catfish face search

Use the demo for quick pairwise checks. Use Face ID Search when the internet might hold answers you do not have locally.