ConsumerPrivacyImage ProcessingLocal-first

FacesInDrive – Find your face in massive shared albums

Helps users pick out only the photos they appear in from huge shared wedding or event folders

Problem
After weddings or big events, users receive shared Google Drive folders with hundreds of thousands of photos. Finding your own photos is slow and painful, and existing cloud drives lack face filtering. Third-party face tools require uploading everything, raising privacy concerns.
Solution
Users upload a single selfie in the browser, and face matching runs locally against the shared folder (streaming as it loads), showing only photos containing the user with one-click download. Original photos never leave the device.
Users
Everyday users who receive huge shared photo dumps from weddings/events, event photographers, and family album organizers
MVP
Browser-based local face detection and matching (WebAssembly model); connect to Google Drive or local folder; rank by similarity; batch select and download; no photo uploads
Revenue
One-time purchase $9–19; or free tier up to 500 scanned photos then paid unlock
Why now
Browser-side face models are now small and fast enough to run locally; shared album pain is common and existing tools are either slow or not private; no license needed for an indie builder

Source discussions · 1

  1. Reddit[r/SaaS] An attempt to find your photos that has your face in a Shared Google Drive full of hundreds of thousands of photos
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