speech-to-text

Offline Speech-to-Text (STT) service using Mistral's Voxtral model with Wyoming protocol compatibility for Home Assistant Assist integration.

An innovative platform that generates mock interview questions using the advanced Gemini API, aiding individuals in their interview preparation journey. If you have any feedback or area of improvement let us know by open a issue

Local and privacy first voice-to-text MacOS app that transcribes your voice and inserts text at your cursor — in any application.

Open source, local voice-to-text (Wispr Flow alternative)

Open-source AI assistant with voice control, browser automation, desktop overlay, and 109+ tools. Built with Python, Next.js, and Three.js.

A local LLM workhorse that keeps a memory of your workday. On-device meeting notes, dictation, autocomplete, and recall for macOS. GPLv3.

A dockerfile to run deepspeech-server

WhatsApp voice transcriber is an audio message transcriber app created with APIMatic auto-generated SDKs for WhatsApp and OpenAI Whisper API. 

Coqui STT offline engine API for NodeJs developers. With a simple HTTP ASR server.

Automatic Speech Recognition Dataset for Oromo Language

A collection of useful tools for handling speech recognition data

Vosk4Unity is a module for the Unity Engine that provides a simple way to integrate speech recognition into your application. It is based on and powered by the Vosk speech recognition engine.

Offline neural translation across English, Spanish, French & Italian — type or speak, read or hear it. Built on ggml.

Yo is a compie-time grammar compiler (Nix) and a runtime deterministic interpretor (Rust). In simple terms it's a rapid fast and flexible full-stack voice assistant.

Local, private cross-platform voice dictation app speak anywhere, type everywhere. System-wide push-to-talk that converts speech to keystrokes in any application.

Docker image for a self-hosted WhisperLive real-time speech-to-text server, powered by faster-whisper. Provides WebSocket streaming for live audio transcription and an OpenAI-compatible REST API. Supports all Whisper models, VAD, NVIDIA GPU (CUDA) acceleration, offline mode, and multi-arch (amd64, arm64).

ComfyUI nodes for Qwen3-ASR (0.6B/1.7B) and ForcedAligner. Supports high-accuracy ASR and language identification for 52 languages/dialects, including 22 Chinese dialects and various English accents. Features word-level timestamps, long audio transcription, and VRAM-optimized inference.

Self-hosted voice assistant. Speak to your computer: it answers aloud, types your dictation, and operates your apps.

A lightweight library for normalizing speech transcripts before computing WER

speech to text gui for different (e.g. Whisper, Voxtral) models and backends, including whisper.cpp, crispasar, mlx-whisper, faster-whisper, ctranslate2; applies pyannote for diarization