# Facematching This step compares the user’s face across multiple sources to verify their identity. It is crucial for preventing identity fraud and ensuring the integrity of the verification process. * Add `Face Matching` step into the flow canvas at the appropriate position in the flow. * Click on `Face Matching` to open its configuration options:


Source Selection	Choose minumum 2 sources for face matching, including the following:
	Document Photo: Use the photo from the uploaded document.
	Liveness Results: Use the captured image from the liveness check.
	Selfie: Use a selfie taken by the user.
	External Database: Use a photo from an external database.
Verification Validity Period	This setting defines how long a successful verification result remains valid. Enforce re-verification after a defined time window for security or compliance needs.

{% hint style="info" %} **Minimum Requirement:** You must select at least two sources for face matching to ensure robust verification. {% endhint %}

{% hint style="info" %} **Auto-Approval:** an Applicant is approved automatically, if face matching result is 85% or higher. Otherwise, the reviewer has to check the results and finish the verification process manually. {% endhint %} --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.elkyc.com/home/build-verification-flows/verification-steps/facematching.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.