What is Facesearch.id?

Facesearch performs reverse face search by detecting a face in an uploaded photo, generating a face embedding, and comparing it to a public image index.It returns scored matches with source URLs and context to support follow-up checks, distinguishing face matching (facial geometry/embeddings) from reverse image search (pixel-level duplicates).

Features include local preview and a browser-side photo quality checker that flags resolution, framing, and landmark issues to help preserve search credits.Use cases.investigators, people checking for stolen photos or romance-scam traces, dating-safety checks, and self-audits for online presence.

Result guidance shows similarity scores and advises verifying source pages, looking for corroborating names/locations/timelines, and treating single mid-score hits as unconfirmed.Limitations and best practices.

it cannot access private accounts or offline records, matches depend on photo quality (clear, front-facing, eyes visible), and filters, masks, heavy compression, or large age gaps reduce accuracy.Recommended workflow.

Run a free reverse image search for exact duplicates first, then use face search for cross-photo person matches, and apply human verification to confirm identity.

Facesearch.id pricing Freemium

Essential $7

Plus $11

Ultra $29

Verify on the official pricing page.

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Facesearch.id's key features

Detects faces, generates face embeddings, and compares them to a public image index
Returns scored matches with source URLs and contextual information
Uses facial geometry/embeddings for face matching (distinct from pixel-level reverse image search)
Offers local preview and a browser-side photo-quality checker that flags resolution, framing, and landmark issues
Provides similarity scores and result guidance to support human verification

Facesearch.id use cases

Detect romance scams and improve dating safety by running a reverse face search on profile photos using the reverse face search tool, comparing face embeddings to a public image index, reviewing scored matches with source URLs and context, inspecting local previews and photo-quality checks, and following the built-in verification guidance before engaging.
Protect photographers and brands by performing stolen-photo searches with face embedding similarity using the reverse face search tool to locate unauthorized reuses or resales, obtain scored matches and source links for takedown/DMCA requests, and prioritize high-risk results via local preview and photo-quality checks.
Verify images for journalism, law enforcement, or OSINT investigations by using the reverse face search tool to find prior occurrences of a face across the web, retrieve context and source URLs with relevance scores, use local preview and photo-quality checks to spot manipulated or low-quality matches, and apply the verification guidance to corroborate findings.