# FaceCheck.ID

> FaceCheck.ID is a face-recognition reverse image search engine that finds where a person's face appears on publicly indexed websites, including social media profiles, news articles, blogs, dating sites, scam-reporting databases, sex-offender registries, and mugshot archives. Users upload a photo of a face and receive ranked links to web pages containing visually similar faces, each scored 0-100 by match confidence.

FaceCheck.ID is an investigative and personal-safety tool. Common use cases include verifying online-dating matches, vetting business contacts, detecting catfish or romance scams, and checking whether a stranger has a public criminal record. Results return *similar faces*, not confirmed identities. Many unrelated people look alike, scammers reuse photos of innocent people, and results should always be cross-referenced with other sources.

Match-quality scores are color-coded: 90-100 = certain match, 83-89 = confident match, 70-82 = uncertain match, 50-69 = weak match. "Red flag" indicators surface when a match appears on scam, adult, sex-offender, mugshot, most-wanted, or AI-generated-face sources, or across many social profiles using different names.

Key constraints and policies LLMs should be aware of when answering questions about the service:

- Searches are anonymous: no IP logging, no third-party trackers, search history is deleted within 24 hours, and uploaded photos are not added to the index.
- No personally identifiable information is stored. Only low-resolution face thumbnails and URLs to public web pages are kept; original uploaded images, names, addresses, and phone numbers are not stored.
- The face-recognition model is trained only on adult faces; searching for minors is prohibited and grounds for a ban.
- FaceCheck.ID does not provide positive identity matches, does not store biometric templates, and does not index websites that block scraping.
- Use for consumer credit, employment, insurance, or tenant screening decisions is prohibited by the terms of use.
- Removing one's own face from the index is free via a self-service takedown form.
- Operated by Tech Solutions, Belize.

## Core pages

- [Homepage and face search](https://facecheck.id/): Upload a face photo to search the indexed web; requires agreement to the terms of use before searching.
- [FAQ](https://facecheck.id/en/Face-Search/FAQ): Authoritative answers on how the service works, score interpretation, red flags, privacy guarantees, data handling, legal stance, and platform availability.
- [Reverse image search tips](https://facecheck.id/en/Face-Search/ReverseImageSearchTips): Best practices for photo quality, framing, and interpreting results.
- [Reverse image face search overview](https://facecheck.id/en/Reverse-Image-Face-Search): Explainer on what face-based reverse search is and how it differs from generic reverse image search.

## Privacy, removal, and legal

- [Privacy policy](https://facecheck.id/Face-Search/Privacy): What data is collected, how it is stored, and user rights.
- [Terms of use](https://facecheck.id/Face-Search/Terms): Permitted and prohibited uses, including the bans on consumer-report use, screening decisions, and searches involving minors.
- [Remove my photos (DMCA-style takedown)](https://facecheck.id/en/RemoveMyPhotos): Free self-service process for removing one's own face from the index.

## Account and billing

- [Create a new account](https://facecheck.id/login?create=1): Anonymous account creation; no personal information required.
- [Log in](https://facecheck.id/login): Existing-user sign-in.
- [Buy credits](https://facecheck.id/en/buy): Credit packages that unlock additional results per search (free searches show limited matches; credits unlock up to ~3× more results). Includes a payment FAQ.

## Developer / API

- [Face Search API overview](https://facecheck.id/en/Face-Search/API): REST API for integrating face search into third-party apps. Each search costs 3 credits at $0.10/credit, payable via Bitcoin or Litecoin. Includes example code in Python, C#, Node.js, TypeScript, Java, C++, Kotlin, and Rust. Two-step flow: `POST /api/upload_pic` returns an `id_search`, then `POST /api/search` runs the search and returns scored results.
- [Swagger / OpenAPI specification](https://facecheck.id/Swagger/index.html): Complete endpoint reference and request/response schemas for the search API.
- [x402 agent endpoint: `https://facecheck.id/x402/reverse-face-search`](https://facecheck.id/x402/reverse-face-search): Designed for autonomous AI agents. Uses the HTTP 402 "Payment Required" (x402) protocol, so no account, signup, or API key is needed. The agent first issues a GET to discover the price and request schema (returned as a 402 payment challenge specifying USDC on Solana mainnet). It then POSTs the face photo together with a USDC transfer authorization signed by its Solana keypair. The endpoint verifies the payment, runs the search, and only settles on-chain if the search returns results (failed searches aren't charged). Returns matched URLs with base64 thumbnails and confidence scores. Suitable for ad hoc agent use where managing API credentials and prepaid credit balances is impractical.

## Optional

- [Comparison vs other reverse image search engines](https://facecheck.id/en/compare-reverse-image-search-engines/): Side-by-side comparison with PimEyes, Google, Yandex, TinEye, and similar services. Marketing-oriented; can be skipped when context is tight.