Facial recognition
Facecheck.id OSINT integration
Facial recognition matches from a photo file or public image URL.
Facecheck.id compares a query image against faces indexed from public web pages — social media, news and blogs, videos, mugshots, sex-offender sites, and scammer listings — and returns scored matches with thumbnails and source URLs. Searches may run asynchronously — SearchIn polls until results complete.
How the Facecheck.id integration works
What happens between pressing run and reading a result.
- 1Choose Image, then upload a photo or paste a direct image URL.
- 2SearchIn submits the image to Facecheck.id, which may return an asynchronous job.
- 3SearchIn polls that job to completion for you — no search ID tracking or retry logic on your side.
- 4Scored matches render as a thumbnail grid with source links, filterable by confidence and host.
Data sources
SearchIn sends a photo or image URL to FaceCheck and polls until the job finishes. The categories below are the sources FaceCheck lists on its homepage.
- Indexed from
- Public pages
- Published score bands
- 50–100
- Page checked
- 22 September 2026
FaceCheck’s bands: 90–100 certain, 83–89 confident, 70–82 uncertain, 50–69 weak. It says many unrelated people look alike, and that its index is public web pages only.
Supported inputs & pricing
Prices are USD. LeakRadar includes 1,000 credential unlocks in the query price, then $0.50 per extra 1,000. OSINT Industries is $0.60 plus optional premium modules at $1.80. Other integrations are flat per query. Full SearchIn rates are on pricing.
| Input type | Price |
|---|---|
| Imageimage | $0.50 |
Why run Facecheck.id through OSINTverse
You can always buy Facecheck.id directly. Here is what changes when the same data comes through SearchIn instead. Full write-up: OSINTverse vs Facecheck.id.
| Facecheck.id directly | Through OSINTverse | |
|---|---|---|
| Getting started | Facecheck.id sells credits against its own account and API token, and its API returns asynchronous jobs you have to poll yourself. | Sign in, top up from $10, and run Facecheck.id the same minute — no vendor contract, seat, or sales call. |
| What a query costs | Plan, credit pack, or contract pricing set by the vendor and paid up front. | Pay per query from your prepaid balance — Facecheck.id starts at $0.50 for image lookups, with the exact price shown before you run it. |
| Failed lookups | Handled under the vendor's own credit and refund policy. | Automatically refunded to your wallet — a search that fails upstream after billing is not charged. |
| Output format | A vendor-specific response shape you normalise and render yourself. | Normalised result panels plus the raw JSON, returned by the same POST /v1/search contract as every other integration. |
| Cross-source work | Copy-paste between vendor dashboards to follow a lead into another dataset. | Results join one case graph, so you can pivot an entity into any of the other 16 integrations in a click. |
| Running it for a team | Per-seat or per-account access, billed and administered per analyst. | One shared team wallet with roles, provider allowlists, enforced MFA, and audit history — no per-seat fee. |
| Volume work | Script the vendor API yourself, including retries, polling, and rate handling. | Bulk search takes up to 50 queries across selected providers in one submission (max 100 jobs), with per-job status and partial-failure handling. |
What every integration inherits
Good to know
Constraints worth reading before you spend a query.
Matches are similarity scores, not identifications. FaceCheck’s own warning is that unrelated people can look alike.
Coverage is public pages FaceCheck has indexed: social media, news, video, mugshots, sex-offender sites, and scammer listings. A no-match is not proof of absence.
FaceCheck says it does not index children’s faces, and that results must not be used for credit, employment, insurance, or tenant decisions.
Going direct still makes sense at sustained high volume on a single source. Facecheck.id sells credits against its own account and API token, and its API returns asynchronous jobs you have to poll yourself. Through SearchIn you trade that commitment for per-query pricing across 17 integrations.
How to access Facecheck.id
Sample queries
Investigations that use Facecheck.id
- OSINT for investigative journalismVerify people, companies, and digital footprints without a stack of OSINT logins.
- OSINT for law enforcement investigationsPublic-record and commercial OSINT sources behind one search, for case support.
- OSINT for private investigatorsPeople, breach, domain, and image search without maintaining a dozen OSINT logins.
- SearchIn for OSINT analystsEvery provider behind one search — pivots, bulk jobs, and cases that stick.
- SearchIn for investigative journalistsVerify subjects and documents with commercial OSINT on a reporter’s budget.
Related integrations
FAQ
Facecheck.id on OSINTverse, answered
How do I use Facecheck.id in SearchIn?
Choose Image, then upload a photo or paste a direct image URL. Select Facecheck.id. Wait for completion if status is running, then filter high-confidence hits.
How do I call Facecheck.id from the OSINTverse API?
Authenticate with an x-api-key header, then POST /v1/search with provider "facecheck" and a supported input_type (image). Poll GET /v1/search/{id} if the job returns running.
What does Facecheck.id cost on SearchIn?
Image: $0.50. You see the price before every run, and there is no subscription.
Why use OSINTverse instead of Facecheck.id directly?
Facecheck.id sells credits against its own account and API token, and its API returns asynchronous jobs you have to poll yourself. On OSINTverse you pay per query from one prepaid USD wallet with no subscription, failed searches are refunded automatically, results are normalised into a case graph you can pivot into other sources, and the same POST /v1/search contract reaches every integration. SearchIn polls the async job until it completes, so a face search behaves like every other query. File upload and image URL both run through the same POST /v1/search call. Score filters (90%+, 80%+, 70%+) and host filtering are built into the result panel.
What are the limits of Facecheck.id on SearchIn?
Matches are similarity scores, not identifications. FaceCheck’s own warning is that unrelated people can look alike. Coverage is public pages FaceCheck has indexed: social media, news, video, mugshots, sex-offender sites, and scammer listings. A no-match is not proof of absence. FaceCheck says it does not index children’s faces, and that results must not be used for credit, employment, insurance, or tenant decisions.
Run Facecheck.id alongside every other source
One login, one prepaid wallet, and the price shown before every lookup.
- No subscription
- Credits never expire
- Human support