Engineering · RecallLens AI Find the screenshot you remember.

The challenge

Screenshot libraries grow quickly, but browsing a grid requires remembering when a capture was saved. Searching for a remembered product, phrase or price needs structured metadata and a reliable index. Media permissions, partial access and interrupted processing make that foundation more involved than a search field alone.

The approach

The local implementation builds a SQLite-backed library with FTS5, structured repositories and resumable indexing checkpoints. Permissions and processing states are explicit, and local metadata can be indexed with cloud analysis off. Content analysis has a provider-independent contract and requires a configured backend plus user consent; the captured development build is not evidence of a released AI search service.

Who it helps

A development project aimed at people who collect screenshots and remember the content more easily than a filename.

A typical workflow

1. Grant the intended media access and start discovering screenshots in the development build.
2. Inspect library assets and indexing progress; processing can use local metadata with cloud analysis off.
3. Use the local search foundation as it develops; cloud content analysis remains dependent on backend configuration and consent.