What are the main features of Hachi?
Hachi's main features include natural language video search, image search, and face recognition across indexed media. It indexes data locally for fast performance and is fully private and offline. It also offers a full database search across all indexed videos and images.
What are the minimum hardware requirements for running Hachi?
The minimum hardware requirements for Hachi are a quad-core CPU with AVX2 instructions and at least 4GB of RAM. It currently supports only x86_64 architectures.
Is Hachi free to use?
Hachi offers both a free version and a paid version. The free version includes video search, image search, and face recognition. The paid version adds live video search, unlimited indexed items, and email support.
How does Hachi handle user privacy?
Hachi is designed to be fully private and offline by default. It operates as a self-hosted web application with no internet dependency, meaning all data and processing stay on the user's own device.
What search methods does Hachi support?
Hachi supports searching via text queries for scenes, objects, and persons. It also allows for face recognition to search for specific individuals across image collections.
What product category is Hachi classified under?
Hachi is classified under the 'Research & Analysis' category. This taxonomy is based on its function as desktop software for natural language search and analysis of personal media collections.
How does Hachi's market category compare in terms of competition?
Hachi's category, 'Research & Analysis', contains 1045 products. The median domain authority for products in this category is 22, and the median AI traffic visits are 0.0, with 1031 products having measured AI traffic data.
What is Hachi and what problem does it solve?
Hachi is a self-hosted desktop application that enables natural language search across personal videos and images, solving the problem of finding specific content in large local media collections. It runs fully offline, ensuring user privacy, and uses AI to index media for fast search. The tool was created because existing solutions were too cumbersome or not robust enough.