Core search
High‑recall face matching
Modern embedding models and tuned similarity scoring to surface the most relevant face matches in milliseconds, even with age, lighting, or angle changes.
FF
FaceFinderAi
Private reverse image face search
Face search engine & developer API
Search the web by face — fast, private, and self‑hostable.
Upload a face photo and search for the same person across the public web or your own index. FaceFinderAi is built for high‑confidence facial recognition, with privacy‑focused controls and a developer‑friendly API.
212M+
Indexed face vectors
4.8 / 5
Average user rating
~350 ms
Median search latency
FaceFinderAi never uses uploads to train third‑party models. You choose: air‑gapped self‑hosting or our managed API.
API & SDKs
Developer‑ready face search API
Simple REST API with stable schemas, JSON responses, and language SDKs so you can plug face search into dashboards, investigations, or automation flows.
Deployment
Cloud or self‑hosted
Run FaceFinderAi fully on‑prem or in your own VPC, or use our managed cloud. Index your own datasets, define retention, and control every query.
How FaceFinderAi works
1. Upload a face
Drop in a clear face photo from your device or send it programmatically via the API. We extract only the face embedding, not the raw pixels.
2. AI scans your index
Our engine compares the embedding against millions of stored vectors in your project index or our hosted corpus, returning ranked similarity scores.
3. Review matches & sources
Inspect matched faces, similarity scores, and source URLs. Use filters to focus on strongest matches or specific domains and collections.
OSINT With FaceFinderAi
Open‑source intelligence enhanced by advanced face search.
FaceFinderAi helps investigators, journalists, and cybersecurity teams use facial search as one signal in broader OSINT work. Upload a still from a video, stream, or social post to quickly surface where the same person may appear and related content across public sources.
Use FaceFinderAi to:
- Reveal visually similar faces in open‑source photos and videos
- Explore a subject’s potential digital footprint across platforms and aliases
- Support threat assessments, fraud/catfish investigations, and attribution work
Built for legitimate OSINT operations, FaceFinderAi brings clarity and speed to complex digital environments. Always ensure you have lawful grounds to process the images you upload and follow applicable regulations and organizational policies.
Facial recognition
For your own photos and lawful sources only.
use images you own, have permission to process, or that depict public figures in clearly public contexts. Always follow local laws and platform rules.
FaceFinderAi is built as a self‑investigation and privacy tool. It helps people discover where their own images may appear in publicly accessible places online, find where their photos are being used without consent, and uncover fake or catfish accounts impersonating them.
Frequently asked questions
Short answers to how FaceFinderAi works, what you can use it for, and how we handle privacy and safety.
What can I legally use FaceFinderAi for?
FaceFinderAi is built for legitimate, consent‑based use: auditing where your own photos appear, protecting brand and personal privacy, fraud and catfish
investigations, and powering internal tools or products via API. You’re responsible for complying with local law and only uploading images you are allowed to
process.
Do you store the images I upload?
By default we keep only face embeddings and minimal metadata needed to serve your query. You can configure short‑lived uploads, long‑term indexing, or
self‑host FaceFinderAi so that images and embeddings never leave your infrastructure.
How accurate is the face search?
Accuracy depends on image quality and the reference index. Our models are tuned for high recall across real‑world conditions (different angles, lighting,
partial occlusions). API responses include similarity scores so you can apply thresholds appropriate to your risk profile.
Can I integrate this into my own product?
Yes. The FaceFinderAi API exposes endpoints for indexing faces, searching by image, and managing collections. See the API docs for example requests,
rate limits, and implementation patterns in Python, Node, and PHP.
Try FaceFinderAi on your own photos today.
Run a free face search in the browser, then plug the same engine into your stack with our API or self‑hosted deployment.