Аудио
SpeakoFlow
Free and open source offline voice dictation for Windows, Linux, and macOS.
★ 259 звёздMIT
Смотреть руководство →book — проект с открытым исходным кодом из категории «Аудио» от hardhackerlabs (hardhackerlabs/book на GitHub). У него 1 371 звезда на GitHub и 51 форк, он распространяется по лицензии Custom и последний раз обновлялся на GitHub 8 августа 2026.
A book by the HardHacker Labs team chronicling how their product Podwise grew
Clone hardhackerlabs/book and move into the project folder.
Install the docs toolchain the README specifies, then build the site.
Gather the recordings you want to process.
Start the job and check the output.
Built around artificial intelligence from the ground up.
Focused on book as a core part of the project.
Focused on indie hackers as a core part of the project.
Focused on mindmap as a core part of the project.
Focused on mrr as a core part of the project.
Focused on podcast as a core part of the project.
Download the source and move into the project folder.
git clone https://github.com/hardhackerlabs/book.git
cd bookSet up what the project needs to run.
npm installStart the app — the README has the exact command and flags.
npm run dev # serves the docs site locallyIt ships under a custom license — read the terms before commercial use.
Clone the repo and follow the docs build steps in the README.
The GitHub repo's issues and discussions are the main support channel.
Last pushed 2026-08-08 with 51 forks. Skim recent commits to gauge momentum before relying on it.
Yes — it is open source, so issues and pull requests are welcome.
Free and open source offline voice dictation for Windows, Linux, and macOS.
AgentCall lets AI Agents join meetings with voice
A framework for AI video agents — next-gen video workflows and interactions.
Nebulynk — a self-hosted home for your team's conversations, calls, publicly available.
Mozilla's deep-learning text-to-speech library with Tacotron, Glow-TTS and neural vocoders.
End-to-End Speech Processing Toolkit
Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если book вам не подходит.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Соседние проекты из категории «Аудио» в каталоге, ближайшие по числу звёзд к book — продолжайте изучать полку по обе стороны от него.
Expressive TTS where emojis steer the speaking style.
The easiest way to serve AI models, including speech-to-text, on Kubernetes.
Multilingual long-form dialogue speech with zero-shot voice cloning.
Native Linux dictation: fast, private, and hackable speech-to-text.
Blazing-fast multi-backend Whisper transcription for any file or URL.
Private cross-platform speech-to-text with LLM cleanup built in.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.