From Pixels to Profiles:
How FaceFinder Decodes the Web
Standard search engines look for filenames. We look for faces. Here is the engineering behind how we find a needle in a digital haystack without compromising your privacy.
The Core Technology: What are Face Embeddings?
To a computer, a photograph isn't a picture of a person. It's just a grid of colored pixels. The magic of FaceFinder lies in translating that grid into a mathematical language.
The "Vectorization" Process
When you upload a photo, our AI calculates 128 distinct geometric vectors—like the distance between your pupils, the texture of your skin, the precise curve of your jawline, and the depth of your eye sockets.
The result is a unique string of numbers called a Face Embedding.
This is what you look like to our engine. No names. No labels. Just math.
Our 3-Step Search Process
Detection & Alignment
First, the AI isolates the face from the background. It ignores the beach behind you or the sunglasses on your head. It aligns the face to a neutral position, correcting for tilt and rotation.
The Deep Index Match
We don't scan the entire internet in real-time—that would take years. Instead, we compare your "Face Numbers" against our pre-indexed database of billions of public images.
The Similarity Score
We return results ranked by a confidence score (0-100). A 90+ score is likely the same person. A 60-70 score might be a lookalike.
Understand match scoresAccuracy vs. Privacy: The "Safety by Design" Protocol
The most common fear we hear is the "Black Box" anxiety—not knowing what happens to your data.
The Trust Anchor
"FaceFinder operates on the principle of Privacy by Design. In compliance with standards like GDPR's definition of biometric data (Article 4.14), we do not store your identity—only the mathematical representation of the face during the search window. Once the search is done, the 'fingerprint' is discarded."
We operate on a "No-Name" Policy. Our engine finds visual matches, but it doesn't know who you are. We don't link faces to names, phone numbers, or addresses. We simply show you where that specific pattern of pixels appears on the public web.
Your Data Rights
- Images deleted after 24h
- No data sold to 3rd parties
- Full GDPR/CCPA Compliance
Why Traditional Reverse Image Search Fails People
You might have tried Google Lens or TinEye. Here is why they didn't work.
Object Recognition
Traditional tools see "A man in a blue suit standing near a wedding cake." They look for similar compositions, colors, and objects.
Biometric Recognition
FaceFinder sees "Pupillary distance: 63mm. Jaw angle: 14°. Nose bridge width: 12mm." We look for biological constants that don't change with clothes or background.
Limitations: What We Can (and Can't) See
What We CAN See
- Public social media profiles (Twitter, LinkedIn, Public FB)
- News articles, blogs, forums, and press releases
- Open web directories, public archives, and stock photo sites
What We CANNOT See
- Private Instagram/Facebook accounts (Friends only)
- Encrypted messaging apps (WhatsApp, Telegram, Signal)
- Closed databases (Police records, Government IDs, Bank data)
Frequently Asked Questions
Ready to Test the Engine?
Upload a photo now to generate your unique facial map and find results in seconds. See the technology in action for yourself.
No credit card required for initial scan. 100% Private.