基于 Windows LiveCaptions 的轻量级且强大的实时音频/语音翻译工具。
audio-to-text 开源项目推荐(159 个)
audio-to-text 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 159 个仓库使用Web UI 100%本地将任何音频转录为文本、翻译和编辑字幕。由耳语模型提供支持!
The open-source iOS app that's making quality voice transcription more accessible on mobile devices.
Tero Subtitler is an open source, cross-platform, and free subtitle editing software.
一个桌面应用程序,可以从文件、麦克风输入或YouTube视频中转录音频,并支持内容翻译和制作字幕。
Lightweight, powerful real-time speech translation with multilingual support and a multilingual UI.
Self-hosted web application, which can be used to convert audio to subtitles by OpenAI's Whisper model
In-browser Whisper speech-to-text with WebGPU (WASM fallback). Transcribe audio & video locally, no server.
This repository contains a Python script that allows users to download the audio from a YouTube video, transcribe it into text, detect the language and save the transcription in txt file automatically.
Use Whisper to convert audio files into LRC subtitle files in bulk. 使用whisper实现将音频文件批量转换为lrc字幕文件
Modern Desktop Application offering a suite of tools for audio/video text recognition and a variety of other useful utilities.
Persian ASR dataset
"Speech-to-Text Realtime with Extension" is a browser extension that converts speech to text in real-time. It supports multiple languages, making it ideal for note-taking, customer service, and accessibility. Easy to install and use on popular browsers.
Simple Python audio transcriber using OpenAI's Whisper speech recognition model
Vocal Prism — Privacy-first, local AI audio transcription for macOS (Whisper → CoreML, Apple Silicon‑optimized).
WebUI for Whisper API
Transcribe audio, video and YouTube links to SRT subtitles from the command line, with OpenAI Whisper. Speaker labels, large files, one command.
Free, offline Whisper transcription for Windows, macOS and Linux. Turn audio and video into SRT, VTT, DOCX, PDF and more, with speaker labels and YouTube downloads. No cloud, no account, your audio never leaves your computer.
State‑of‑the‑art speech recognition model for English, delivering transcription accuracy across diverse audio scenarios. <metadata> gpu: T4 | collections: ["CTranslate2"] </metadata>
An advanced study tool that transforms raw audio recordings and PDF slides into structured, professional LaTeX university notes. Powered by fast local transcription (Whisper) and Google Gemini AI for intelligent summarization and context integration.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/audio-to-text。
- 该话题在 GitHub 上共有 159 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.1 万 Star,覆盖 7 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。