# offline

High-performance on-device object and vector database for mobile and edge AI

High-performance on-device object and vector database designed for mobile, IoT, and edge applications, providing sub-millisecond local HNSW vector search and optional cloud-optional data synchronization.

Offline speech recognition for 20+ languages

Vosk is an offline speech recognition toolkit supporting 20+ languages with compact 50MB models that run on Raspberry Pi, Android, iOS, and servers. It provides streaming API with zero-latency response, speaker identification, and reconfigurable vocabulary. Vosk offers bindings for Python, Java, Node.js, C#, Go, and Rust. Unlike cloud-based alternatives, all processing happens locally with no internet required. Apache 2.0 licensed with 14K+ GitHub stars.