Is searching someone's face legal?

facesearching only indexes publicly available web pages. You must have the right to search a given image — for example, your own face, or an image you own or have permission to use. We do not support stalking, harassment, or searching minors.

What happens to my photo after the search?

Your uploaded photo is used only to run the search and is deleted immediately afterward. We do not store, train models on, or redistribute your images. Consent is required before every search.

Can this help me spot a scammer or catfish?

Yes. If someone is using a fake identity or stolen photos, a face search can reveal where that face actually appears online — social media, news, scam reports, or video sites. This helps you verify if the person you're talking to is who they claim to be.

What sources do you search?

We scan publicly available social media profiles, news articles, blogs, and video sites. We do not access private accounts, paywalled content, or anything behind a login. Each result includes a confidence score and a direct link to the source.

How accurate are the results?

Each result includes a confidence score so you can judge the likelihood of a match. Results are drawn from public pages and should be treated as leads to review, not as definitive identification.

Do I need an account to search?

You can run a single search without an account, but signing in lets you manage credits, review past searches, and access higher-volume packs. Credits never expire as long as your account is active.

Terminology Guide

What Is Face Search API? — Complete Guide for Developers

Last updated: September 2, 2026

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Frequently Asked Questions

What is a face search API?

A face search API is a programming interface that allows developers to integrate reverse face search functionality into their own applications. Instead of building face recognition technology from scratch, developers send images to the API via HTTP requests, and the API returns results showing where the face appears on the public web. The API handles all the complex facial recognition processing, including face detection, feature extraction, and matching against a database of public web images. facesearching provides a face search API that enables businesses to programmatically verify identities, detect fraud, and build custom verification workflows.

How do developers integrate face search?

Developers integrate face search by making HTTP requests to the API endpoint with the image to be searched. The typical workflow involves: obtaining an API key for authentication; sending the image as a file upload or URL to the API endpoint; receiving a JSON response containing match results with source URLs, identity information, and confidence scores; and processing the results in the application to display to users or trigger automated workflows. The integration is language-agnostic and can be done with any programming language that supports HTTP requests. facesearching provides documentation, code examples, and SDKs to help developers get started quickly.

What are common API use cases?

Common use cases for face search APIs include: identity verification for hiring and recruitment platforms; fraud detection for e-commerce and marketplace platforms; user verification for dating and social networking apps; know-your-customer (KYC) processes for financial services; content moderation to detect impersonation and fake accounts; media verification to authenticate submitted content; and security investigations to find someone by photo and gather public information. The flexibility of the API allows developers to build custom solutions for any industry that requires identity verification or fraud detection.

Is face search API expensive?

The cost of face search API access varies depending on the provider and the volume of usage. facesearching offers flexible pricing options designed to accommodate businesses of different sizes, from startups to large enterprises. Pricing is typically based on the number of API requests made, with volume discounts available for higher usage. For most businesses, the cost of API integration is significantly less than the cost of building and maintaining an in-house face recognition system, and it is far less than the potential losses from fraud or identity-related incidents. Developers should evaluate the pricing structure against their expected usage volume and the value the API provides to their business.

What programming languages are supported?

The facesearching API is language-agnostic, meaning it can be used with any programming language that supports HTTP requests. This includes Python, JavaScript (Node.js and browser), Java, Ruby, PHP, Go, C#, Swift, Kotlin, and many others. The API communicates using standard REST principles and returns data in JSON format, which is universally supported. facesearching provides SDKs and client libraries for popular languages like Python and JavaScript to simplify integration, along with code examples and curl commands that developers can adapt to their preferred language. The extensive documentation ensures that developers can integrate the API regardless of their technology stack.

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