Hachi for Web

Hachi — Raman Labs’ Smart Media Finder

Hachi is an AI-driven search system from Raman Labs that makes finding images and videos easy using plain-language queries. After a one-time indexing process, the platform lets users locate precise media content quickly with text searches, including the ability to identify and tag individual faces. The design emphasizes privacy by running without needing an internet connection.

Main Capabilities

• Local indexing that scans and catalogs media once for fast subsequent lookups
• Natural-language understanding so users can search with everyday phrases
• Face recognition to label and retrieve photos by individual people
• Single-text queries that search across both images and video files
• Interface tuned for low-power PCs to keep responsiveness on consumer hardware

Deployment & Privacy Approach

Hachi is distributed as a self-hosted web application so it can run entirely on local machines or inside private networks. Because processing and search happen offline, sensitive media never needs to leave your environment, reducing exposure and improving control over personal data.

Performance and User Experience

• Quick retrieval after the initial crawl, since media is indexed locally
• Usability focused on straightforward setup and minimal hardware requirements
• Privacy-first operation: face tagging and search executed without cloud services

Other Options to Consider

If a different tool is desired, SEMrush (free tier available) is sometimes suggested as an alternative, although it serves a different niche (primarily SEO and marketing analytics) rather than on-device media search.