Facial Recognition Reverse Image Face Search API

Name: Facial Recognition Reverse Image Face Search API API
Brand: Facial Recognition Reverse Image Face Search API
Availability: InStock

✓ Official Vendor SpecIdentity AuthIdentity VerificationapiKey4 EndpointsREST

For Agents

Connect the Facial Recognition Reverse Image Face Search API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Facial Recognition Reverse Image Face Search API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Install Jentic One Beta (Self-Hosted)

Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Facial Recognition Reverse Image Face Search API API.

Upload a probe face image and receive an upload identifier for downstream search

Run a reverse face search across the indexed open-web image corpus

Poll for a queued search result and retrieve ranked matches with confidence scores

Inspect upload metadata to confirm a photo was processed correctly before searching

GET STARTED

Start building with Facial Recognition Reverse Image Face Search API API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use Facial Recognition Reverse Image Face Search API API for, with concrete tasks.

★ Romance Scam Detection

Investigate whether a profile photo from a dating or social platform appears on known scam, catfish, or stolen-image sites. The API uploads the probe image, runs a reverse search across the open-web index, and returns ranked URLs with confidence scores so a reviewer can decide whether the profile is genuine. Typical end-to-end latency is under a minute for a single probe.

Upload the suspected scam profile photo to /api/upload_pic, call /api/search with the returned id_search, poll until status is complete, and return the top five match URLs with their score values.

OSINT Person-of-Interest Lookup

Investigators with a single face photo and no name can search the open web for sources that contain the same face, surfacing social media profiles, news articles, and forum posts. The four-call flow covers upload, search, info, and delete, allowing a clean session that does not retain the probe image after the lookup. Suited to low-volume manual investigations rather than mass enrichment.

Upload the probe face image, run /api/search, collect the ranked URL list, and call /api/delete_pic to remove the uploaded photo when the search completes.

AI Agent Identity Triage

An AI agent fielding an investigative query receives a face image and needs to surface candidate sources for a human reviewer. Through Jentic, the agent calls the Jentic search index for 'reverse image face search', loads the FaceCheck operation schema, and executes the four-step upload-search-info-delete flow without holding the API key in its context. Useful when face search is one tool among many in a wider research workflow.

Call jentic.search with query 'reverse image face search', load the upload_pic and search operations, execute them in sequence with the supplied photo, and return ranked matches above a 70 score threshold.

Key Endpoints

4 endpoints — facecheck.

METHOD

PATH

DESCRIPTION

POST

/api/upload_pic

Upload a probe face image

POST

/api/search

Trigger a reverse face search and retrieve ranked matches

POST

/api/info

Get upload metadata for a probe image

POST

/api/delete_pic

Delete a previously uploaded probe image

POST

/api/upload_pic

Upload a probe face image

POST

/api/search

Trigger a reverse face search and retrieve ranked matches

POST

/api/info

Get upload metadata for a probe image

POST

/api/delete_pic

Delete a previously uploaded probe image

Why though Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

FaceCheck.ID API tokens are stored encrypted in the Jentic vault. Agents receive scoped execution permission and never see the raw Authorization header value.

Intent-based discovery

Agents search Jentic for intents like 'reverse image face search' and Jentic returns the FaceCheck operations with their input schemas, so the agent can call upload_pic and search without browsing facecheck.id docs.

Time to first call

Direct integration: half a day to wire upload, polling, and result handling. Through Jentic: under 30 minutes — search, load schema, execute.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

Onfido

Document and biometric identity verification rather than open-web face search

Choose Onfido when the goal is to verify a user's identity against a government document and a selfie, not to search for matching faces on the public internet.

Alternative

Veriff

Full identity verification platform with document and liveness checks

Choose Veriff for KYC-grade onboarding flows that need document, liveness, and biometric checks bundled into a single decision.

Complementary

FullContact

Enrich a matched face URL with associated person and contact data

Use after FaceCheck returns candidate URLs to attach name, employer, and social profile data to the strongest match.

FAQs

Specific to using Facial Recognition Reverse Image Face Search API API through Jentic.

What authentication does the FaceCheck.ID API use?

FaceCheck.ID uses an API token passed in the Authorization header under the Bearer apiKey scheme. Through Jentic, the token is stored encrypted in the vault and never enters the agent's context — the agent receives a scoped execution permission instead of the raw key.

Can I run a reverse face search with the FaceCheck.ID API?

Yes. The flow is to POST a probe image to /api/upload_pic, call /api/search with the returned id_search to queue the lookup, and poll the same endpoint until the search completes and ranked URLs with score values are returned.

What are the rate limits for the FaceCheck.ID API?

The OpenAPI spec does not declare numeric rate limits. FaceCheck enforces credit-based pricing per search rather than per-second quotas, so plan limits scale with the credits attached to the API token.

How do I run a face search with the FaceCheck.ID API through Jentic?

Run pip install jentic, then call jentic.search with the query 'reverse image face search'. Load the upload_pic operation schema, execute it with the probe image, then load and execute the /api/search operation with the returned id_search to retrieve the ranked match list.

How do I remove an uploaded photo from FaceCheck.ID?

Call POST /api/delete_pic with the id_search returned by the upload step. This removes the probe image from the queue and is the recommended cleanup step at the end of an investigation session.

Is the FaceCheck.ID API free?

FaceCheck.ID operates on a paid credit model — searches consume credits attached to the API token. A limited free tier is available for testing the upload and search flow. Get started at https://app.jentic.com/sign-up.