Fast, accurate, real-time Voice to text using AI.
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Updated
May 31, 2026 - Rust
Fast, accurate, real-time Voice to text using AI.
Free, private voice-to-text for macOS and Linux. Local Whisper (MLX) on Apple Silicon — no cloud, no account. Optional self-hosted ASR.
Voice-to-text dictation for Linux, Windows, and macOS. Press (or hold) a global hotkey, speak, release/press again — your words are typed into whatever app is focused. Runs silently in the system tray with a transparent floating overlay that shows recording state.
Lightweight, Java based Windows voice assistant using the VOSK voice recognition library combined with a command interpretation framework I designed. Currently configured for personal use but I may eventually release the framework.
Full-stack AI chat application inspired by Doraemon, built with MERN stack, featuring secure authentication, clean architecture, and real-time interaction.
Minimal App Local voice-to-text for macOS
Voice-to-Text ASP.NET MVC Application (Framework 4.6)
A quick start project that shows how to integrate the Angular Speech-to-Text component with Chat UI to build a voice-enabled chat app
A NotebookLM-inspired multimodal RAG platform for ingesting, encoding, and reasoning over text, images, and video with traceable, source-grounded generation.
A lightweight desktop application that captures your voice, converts it to text in real-time, and stores the transcriptions in a local SQLite database — complete with timestamp, language selection, waveform visualizer, and audio playback.
AI-powered Telegram Shopping Assistant with text & voice search using n8n, Gemini, Whisper, and real-time Amazon scraping.
This is my webside where the tool convert your voice to text
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