FacialRecognition.app – AI Face Search for Social Media

FacialRecognition.app

FreemiumAgent-Verified Live Endpoint: 2026-10-08Markdown

AI face search that finds someone's public social media profiles from a photo.

5(88 reviews)facialrecognition.app0 savesWebsite

https://facialrecognition.app

Open Live Site

FacialRecognition.app search results showing ranked face matches linked to social media profiles

About FacialRecognition.app

Key Facts & Telemetry Summary (2026-10-08)
According to OpenAITools.app telemetry verified on 2026-10-08, FacialRecognition.app (facialrecognition.app) is an AI platform indexed under AI Search Engine generating 17.92K monthly visits with a month-over-month traffic delta of -68.03K (-79.2%). Its primary geographic market is United States (22.8% traffic share), and it operates on a Freemium pricing model. Top competing alternatives by monthly volume include Grok (205.46M visits/mo), Perplexity (91.71M visits/mo), Notion AI (13.46M visits/mo).

FacialRecognition.app is an AI face search tool that matches a face photo against more than a billion indexed public faces and returns up to 100 matches ranked by confidence. Every match links to the page where that face was found, so results can be verified yourself. It runs in the browser and as an Android app, and covers public profiles on Instagram, TikTok, Facebook, X, Reddit, YouTube, Pinterest and the wider web. Uploaded photos are never published and are deleted within 24 hours.

Top 12 FacialRecognition.app Alternatives & Competitors

Side-by-side telemetry comparison of competing AI tools in the same primary category

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FacialRecognition.app vs. Top Competitors Comparison Table

Rank	AI Tool	Domain	Monthly Visits	MoM Growth	Pricing	Top Market	Rating	Head-to-Head
★	FacialRecognition.app	facialrecognition.app	17.92K	-68.03K (-79.2%)	Freemium	🇺🇸 United States	5 ★	—
#1	Grok	grok.com	205.46M

Frequently Asked Questions about FacialRecognition.app

What is FacialRecognition.app?

It finds the public social media profiles of people with an online presence from a photo of their face. You can search on the web or in the free Android app; searches require a subscription.

Can I find someone's social media from a photo?

Yes. The face in your photo is matched against publicly available images and every match links to the page where it was found, covering Instagram, Facebook, TikTok, X, Reddit and the wider web.

Does it search dating apps?

No. Tinder, Hinge and Bumble keep profiles behind a login, so no face search can reach them. Screenshot your match's photo and search that instead, which often turns up the accounts behind it.

How is this different from Google reverse image search?

Google matches images, not faces. It looks for copies of the exact photo, so it returns nothing for a picture never posted online. Face search maps the face itself and still works with old, angled or partly hidden faces.

What happens to my uploaded photos?

They are deleted within 24 hours. The original image is discarded once the face has been read, and results plus a low-resolution thumbnail are kept only long enough to show you the results. Uploaded photos are never indexed, published or shared.

Is it an alternative to PimEyes or FaceCheck.ID?

Yes. FacialRecognition.app searches public social media alongside the wider web, and you pay the ordinary way: card, Apple Pay or Google Pay on the web, or through Google Play in the app.

What is FacialRecognition.app's monthly traffic and growth trend?

FacialRecognition.app currently receives 17.92K monthly visits, with a month-over-month traffic change of -68.03K (-79.2% growth rate). Its primary source market is United States (22.8% share), including 7.12K direct visits/mo and 0 organic search visits/mo.

Is FacialRecognition.app free? What is its pricing model?

FacialRecognition.app operates on a Freemium pricing model. Searches require a subscription, with optional credit top-ups. Pay by card, Apple Pay or Google Pay on the web, or through Google Play in the Android app. Supported billing and checkout platforms include: not listed.