The receipts find themselves.
A background service quietly watches your photo library and uses on-device ML (text recognition and image labeling) to identify the photos that actually matter: receipts, prescriptions, IDs, screenshots of important info, document-like images. Vacation photos and casual selfies stay out of your memory library. Three sensitivity modes (conservative / balanced / aggressive) put you in control of how proactive it is.
Try MemX FreeHow It Works
Background ML on every new photo
When you take or save an image, on-device ML (Google ML Kit text recognition + image labeling) classifies it. Vacation selfies and food shots are recognized and skipped.
Only useful photos travel
A photo is uploaded and indexed only after the on-device model decides it is memory-worthy. Your private moments never make the round-trip to a server.
Searchable like every other capture
A flagged photo is OCR’d and indexed. Ask MemX "what was the warranty on that air-fryer receipt?" or "show me the prescription Dr. Sharma wrote in January." Answers come back with the image as a citation.
Why Use This Feature
You take far more photos than you think
1.9 trillion photos were taken globally in 2024, about 5.3 billion every day, or 61,400 every second. 94% on smartphones. (Photutorial / Rise Above Research, 2024.) MemX surfaces the few that matter from the flood.
The average smartphone has ~2,000 photos
And about 20 new ones get added every day (Photutorial, 2024). The receipts, prescriptions, and document snapshots inside that pile are unfindable without help. MemX does the help.
Lost photos are a real cost
31% of adults reported losing important photos or videos of family events to a misplaced or failed device (Cartridgesave / OnePoll UK, 2016). MemX backs up the photos you actually need.
Private by default
Classification runs entirely on your device. The cloud only sees the photos that passed the local "this matters" filter, and even those are encrypted at rest with per-user keys.
You set the sensitivity
Conservative skips anything ambiguous. Balanced is the default. Aggressive grabs more borderline cases. Change it any time as your usage settles.
Searches the text inside the image
A photo of a whiteboard, a menu, a vaccine card, or a signed receipt is searchable by the words written on it, not just by visual content.