Find cross-session image similarity matches
Find cross-session image similarity matches
Find cross-session image similarity matches
Compares face embeddings stored for the given identity against all other embeddings in the organization. Returns identities with similar selfies or document photos, ranked by similarity score.
This endpoint detects reused photos and documents across sessions — a key signal for synthetic identity fraud, document reuse, and fraud rings.
Results are deduplicated by identity (keeping the highest similarity score when multiple embeddings match). Only matches above the specified threshold are returned.
Organization API key. Keys are prefixed with vk_live_ (production) or
vk_sandbox_ (sandbox).
Identity ID (idn_*) or external reference.
API version date string (e.g. 2026-02-01). If omitted, the version
pinned to your API key is used.
Response key casing. Defaults to snake.
Minimum cosine similarity score (0.1–1.0) to count as a match.
Default 0.6 balances precision vs recall. Use 0.8 for high-confidence
matches only; use 0.4 for broader search with more false positives.
Filter by embedding source type. selfie matches selfie-to-selfie;
document_front matches ID photo-to-ID photo. If omitted, all source
types are compared.