Hachi, a product of Raman Labs, is an AI-powered tool designed to greatly improve the convenience and effectiveness of searching personal videos and images. By utilizing a natural language interface, users can effortlessly search through their media collections, saving time and simplifying the process of finding specific moments, objects, or individuals.

Key Features:

1. Natural Language Interface: Users can search personal videos and images using natural language queries.
2. Video Search: Users can search for scenes, objects, and individuals within videos by inputting text queries while the footage is playing.
3. Image Search: Users can find desired photos and gain inspiration by searching through image collections using text queries.
4. Face Recognition: Users can tag and search for specific individuals across all images to create personalized collections.
5. Privacy-Focused: The tool operates offline with locally stored indexes, ensuring a completely private search experience.
6. System Requirements: The tool requires a quad-core CPU with AVX2 instructions and at least 4GB RAM, supporting only X86_64 architectures.

Use Cases:

• Searching for specific scenes, objects, or individuals within personal videos.
• Finding desired photos and seeking inspiration from image collections.
• Tagging and searching for oneself or loved ones across all images.
• Efficiently and privately organizing and retrieving visual information.

Hachi, developed by Raman Labs, is an impressive AI tool that enhances the search experience for personal videos and images.