Windrecorder is an open-source personal memory search engine that continuously records on-screen activity in a highly optimized and storage-efficient format. It captures screen content locally and builds a searchable database using OCR and image understanding, allowing users to rewind and rediscover anything they have previously seen. The system indexes only meaningful visual changes, extracting text, browser data, and contextual information to improve search accuracy and reduce storage overhead. It includes a web-based interface where users can browse timelines, analyze activity, and perform semantic queries on recorded content. The tool emphasizes privacy by running entirely offline, ensuring that all captured data remains on the user’s device without external transmission. It also provides analytical insights such as activity summaries, word clouds, and timelines, making it useful for productivity tracking and recall.

Features

  • Continuous screen recording with optimized storage usage
  • OCR-based searchable database of screen content
  • Local processing with no external data transmission
  • Web UI for timeline browsing and semantic queries
  • Activity analytics including statistics and visual summaries
  • Support for multiple OCR engines and multilingual recognition

Project Samples

Project Activity

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Categories

Video

License

GNU General Public License version 3.0 (GPLv3)

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Video Software

Registered

2026-04-24