Privacy first, AI meeting assistant with 4x faster Parakeet/Whisper live transcription, speaker diarization, and Ollama summarization built on Rust. 100% local processing. no cloud required. Meetily (Meetly Ai - https://meetily.ai) is the #1 Self-hosted, Open-source Ai meeting note taker for macOS & Windows.

AI wearables. Put it on, speak, transcribe, automatically

Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2 & F5-TTS, CosyVoice), with Whisper audio processing, YouTube download, Demucs vocal isolation, and multilingual translation.

A lightweight yet powerful audio-to-MIDI converter with pitch bend detection

No description provided.

Transcribe any audio to text, translate and edit subtitles 100% locally with a web UI. Powered by whisper models!

Self-hosted AI audio transcription

🔊 Awesome list for Whisper — an open-source AI-powered speech recognition system developed by OpenAI

Instant, controllable, local pre-trained AI models in Rust

A python package to build AI-powered real-time audio applications

an editor for spoken-word audio with automatic transcription

Cutting edge AI technology for automated audio transcription. A nice GUI for OpenAIs Whisper and pyannote (speaker identification)

Simple GUI for ByteDance's Piano Transcription with Pedals

OBS plugin for local speech recognition and captioning using AI

「硬地骇客 - 两个月 $12000 ARR 实践之路」是由 硬地骇客 团队编著，本书是关于 Podwise 产品历程的忠实记录：内容包含 灵感 - 构建 - 发布 - 增长 - 复盘 五个章节。如果你觉得一个人读不够过瘾，欢迎加入「硬地骇客」官方知识星球与专家们一起讨论！Podwise 的故事才刚刚开始，我们也将在星球持续分享我们的认知，成功可能无法复制，但失败一定可以借鉴。现在就点击下方链接加入吧！

VOICE → WORDS

视频音频生成字幕，生成srt文件。无需申请第三方API，本地实现音频转文本。基于Transformer的视频字幕生成框架。A GUI tool for generating subtitle from videos and generating srt files.

The open-source iOS app that's making quality voice transcription more accessible on mobile devices.

🎙️ AI Dictation App - Open Source and Local-first ⚡ Type 3x faster, no keyboard needed. 🆓 Powered by open source models, works offline, fast and accurate.

Verbatim Automatic Speech Recognition with improved word-level timestamps and filler detection

turnkey self-hosted offline transcription and diarization service with llm summary

Generate subtitles, summaries, and chapters from videos in seconds

Optimized Whisper models for streaming and on-device use

Generate transcripts for audio and video content with a user friendly UI, powered by Open AI's Whisper with automatic translations and download videos automatically with yt-dlp integration

🎤 The easiest way to transcribe audio in Swift

A command-line application to convert images, PDFs, and audio files to text using Apple's APIs

On-device streaming speech-to-text engine powered by deep learning

Easily take an entire YouTube playlist and turn it into high quality transcripts using Whisper.

Whisper-Flow is a framework designed to enable real-time transcription of audio content using OpenAI’s Whisper model. Rather than processing entire files after upload (“batch mode”), Whisper-Flow accepts a continuous stream of audio chunks and produces incremental transcripts immediately.

Command line interface for the built-in speech recognition and transcription capabilities in macOS.