FindFace screenshots (3)
Description FindFace
FindFace: Instantly Identify Anyone from a Single Photo
You walk into a crowded networking event, see a familiar face, but the name escapes you. Or you match on a dating app, but the profile feels too good to be true. FindFace eliminates the uncertainty. This powerful social search tool uses advanced facial recognition to scan your device’s camera roll or live camera feed and cross-reference faces against public social media profiles. Within seconds, you get the name, profile links, and mutual connections — turning a vague memory into actionable information. No more guessing, no more awkward silences.
Core Identification Tools
The app operates through three primary scanning modes, each designed for a specific real-world scenario:
- Live Camera Scan: Point your phone’s rear camera at any person in a crowd, a meeting, or a lecture. FindFace overlays a live viewfinder with a detection grid. Once it locks onto a face, it performs a real-time search against indexed public profiles. You see the match appear as an interactive card on screen — tap it to open the person’s public social media page directly inside the app.
- Photo Library Batch Scan: Open your camera roll and select multiple images at once. The app processes each photo independently, extracting every detectable face. It then compiles a results list sorted by confidence score (a percentage indicating how closely the face matches a public profile). You can swipe left to dismiss a false positive or tap to save a match to your favorites.
- Manual URL Input: Paste a link from a social media platform (Instagram, VK, Facebook, LinkedIn). FindFace extracts the profile picture from that URL and runs a reverse image search across its database. This is useful for verifying the authenticity of a profile — it shows you every other public account where that same face appears, helping you spot catfishing or duplicate accounts.
Key Advantages
- Offline Lookup Cache: Every successful match is saved to a local database on your device. If you lose internet connection, you can still browse your saved matches, view the original photo, and access the profile links. The cache stores up to 500 entries before prompting you to clear or export.
- Privacy-First Design: The app does not upload your entire photo library to a server. All face detection and feature extraction happen locally on your device using on-device machine learning models. Only the anonymized facial feature vector (a mathematical representation, not the actual image) is sent to the comparison server. Your original photos never leave your phone.
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Cross-Platform Profile Linking: A single match can reveal up to five linked social media accounts. For example, a VK profile might also show the same person’s Instagram, Telegram, and Twitter handles — all displayed in a unified card. You can tap any handle to jump directly to that profile in the respective app.
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Real-time confidence indicator: A color-coded bar (green = high confidence, yellow = medium, red = low) updates as the scan progresses. You can adjust the minimum confidence threshold in settings to filter out weak matches.
- Batch export to CSV: Save all your match results (name, profile URL, confidence score, source platform, date scanned) as a comma-separated values file for later analysis or sharing.
- Manual cropping tool: If a photo contains multiple faces, you can draw a rectangle around the specific person you want to identify. The app then focuses the scan only on that cropped region, reducing false positives.
Download Mobile App Now
Stop wasting time wondering who that person is. Take control of your social awareness with instant facial identification. Download FindFace today and turn every face into a known contact.
Internet required for scanning. In-app purchases available for advanced features (batch export, unlimited cache, priority matching).
Information
- Version
- 1.6.8
- Developer
- Find Face
- Requirements
- Android + 4.2, 4.2.2
- Updated
- 17.03.2026
- Size
- 8.25 MB
- Package
- ru.trinitydigital.findface
- Signature
- afc1a9d5a1d605fa752368fb942b0989
- Architecture
- armeabi, armeabi-v7a, mips, x86, arm64-v8a, x86_64