On SearchIn · Facial recognition
OSINTverse vs Facecheck.id
Scored web face matches — with SearchIn polling the job so face search behaves like every other query.
Facecheck.id indexes faces from public web sources and returns scored visual matches with thumbnails and originating URLs. Direct access means their credits, their token, and an asynchronous API you poll yourself. OSINTverse keeps Facecheck.id as the engine. SearchIn uploads a file or URL, waits out the job, and renders a thumbnail grid with 90% / 80% / 70% filters. Picarta.ai geolocation runs on the same image wallet so a face hit and a place estimate can live in one case.
Facecheck.id remains the face index. OSINTverse is how that search stops being a polling project and starts sitting next to geolocation and identity sources.
What Facecheck.id is great at
- Matching a photo against faces indexed from public web sources
- Returning similarity scores with thumbnails and source URLs
- Giving investigators a visual lead they can open and corroborate
- A specialised face API that image OSINT teams already know
Facecheck.id vs OSINTverse
Structural access and workflow — not invented list prices for 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 OSINTverse adds
- SearchIn polls the async job to completion so face search feels like every other provider
- File upload and image URL both use the same POST /v1/search call
- Built-in score filters and host filtering on the result panel
- Picarta.ai geolocation on the same prepaid wallet and case
- Matches are labelled as similarity scores, not identifications — the same caution you should use directly
What every SearchIn query inherits
When to pick which
Stay with Facecheck.id when it is the right tool. Use SearchIn when the desk around it matters.
SearchIn prices for Facecheck.id
USD per query on OSINTverse. Full rates are on pricing.
Facecheck.id
Integration page| Input type | Price |
|---|---|
| Imageimage | $0.50 |
Facecheck.id head-to-head
How Facecheck.id compares with the other tools people shortlist beside it.
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FAQ
OSINTverse vs Facecheck.id, answered
Is OSINTverse a Facecheck.id alternative?
No. SearchIn submits images to Facecheck.id. OSINTverse is the desk: polling, filters, a shared wallet with Picarta.ai, and pivots into people-search providers — not a second face index.
Why run Facecheck.id through OSINTverse?
You skip write-your-own polling, get confidence filters in the UI, and can geolocate the same photo with Picarta.ai without a second image vendor login.
Is a Facecheck match an identification?
Never — direct or through SearchIn. Scores are similarity. Corroborate with other sources before you act. A no-match is also not proof of absence.
When should I buy Facecheck credits directly?
When face search is a standing, high-volume capability or you need API behaviour SearchIn does not expose. Mixed image-and-identity cases belong on SearchIn.
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