speech-to-text

Offline-first voice dictation, transcription, cleanup, and text-to-speech for macOS, iOS, and Android.

kospeech를 활용한 한국어 음성 인식 모델 개발

On-device Speech Transcription for macOS 26

Speak. It types. Typex is an open-source, desktop AI voice input tool.

Speech to text to speech using Elevenlabs

Local-first macOS dictation and meeting transcription app

Speech2Speech-AIAssistant; A lightweight, offline-capable voice assistant that listens for a wake phrase, converts speech to text, runs local or API-based intent handling, and replies with natural-sounding TTS. Built for quick local deployment, it supports configurable wake words, microphone I/O, and easy integration with custom actions or LLMs.

Uncensor Qwen 3.8 27B with a pre-baked system pack for Ollama, plus GGUF download links.

A collection of utilities for handling IPA phones.

Ear is a desktop app that will help you transcribe what is playing on your computer!

MacOS app for automatic call summarization and transcription, ideal for meetings, interviews, and brainstorming. Boost your productivity with AI-powered summaries and easy export of notes.

Scripts for training Kaldi for German speech recognition (ASR).

Offline streaming speech-to-text in the browser

Easy to use Multi-Provider ASR/Speech To Text and NLP engine

100% local video dubbing on your desktop — dub videos in your own voice. Private AI dubbing with no cloud, no uploads, no time-stretching.

视频课程学习工作台：字幕提取、课程管理、AI 学习材料与 ASR 校正。Video course workspace for subtitles, course collections, AI study notes, and ASR correction.

Streaming ASR, audio captioning and speech QA over a whisper-style encoder with pluggable LLM backends

Acoustic and language models for minorised languages.

Trimly – An AI-powered assistant using Native Prompt, Translation, Text-to-Speech, and Speech-to-Text APIs to schedule, reschedule, and cancel your barber appointments effortlessly.

I recorded 10 voices with the same words from myself and compared them with another 10 words from another person. I was able to find a threshold level that acknowledges and recognizes my own voice.