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Enhance your search abilities with Hachi, an advanced tool that enables searching personal media effortlessly through natural language and facial recognition technology.

About Hachi

Hachi is a privacy-focused tool for searching personal videos and images using natural language and facial recognition. It operates fully offline on the user's device, indexing media locally for fast searches without internet dependency. Users can search for scenes, objects, people, or specific faces across their collections. Hachi is suitable for individuals who want to organize and retrieve their media efficiently while maintaining privacy. The tool offers both a free and a paid version, with the paid version supporting unlimited indexing and additional features.

Best for: individuals managing personal media, privacy-conscious users, users with large video and image collections

Key features

  • Allows searching videos and images using natural language queries.
  • Supports face recognition to tag and search for people in images.
  • Indexes media locally for fast, offline search.
  • Runs fully offline for privacy and data security.
  • Open-source code available under AGPLv3 license.

Use cases

  • Finding specific scenes or objects in personal videos using text queries.
  • Locating photos of specific people in large image collections via face recognition.
  • Organizing and retrieving personal media without uploading data to the cloud.

Pros

  • No internet required; works entirely offline.
  • No sign-up required for purchase.
  • Open-source version available on Github.

Limitations

  • Currently supports only x86_64 architectures.
  • Paid version is for personal and non-commercial use only.

Screenshots

Hachi screenshot

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