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Audio

Speech, transcription, voice cloning, and audio cleanup.

151 tools · 💎 77 hidden gems

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Start here

The most-starred projects in this category, plus a rotating pick of three more from deeper in the list — refreshed so the whole catalogue gets its turn in the window.

Audio

MoneyPrinterTurbo

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.

★ 128.3k starsMIT
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Audio

Whisper

Robust Speech Recognition via Large-Scale Weak Supervision

★ 109.9k starsMIT
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Audio

GPT-SoVITS

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

★ 62.3k starsMIT
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Audio

audio-ai-field-guide

A mental-model-first guide from waveforms to voice systems.

★ 130 starsMIT
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Audio

Faster-Whisper-XXL-GUI

Faster-Whisper-XXL-GUI — gui for faster‑whisper‑xxl transcription tool: download, open-...

★ 129 starsGPL-3.0
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Audio

docker-whisper

Self-hosted Whisper speech-to-text as a Docker image.

★ 112 starsNOASSERTION
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More categories: VideoImageAI MusicAI 3DClippingLocal LLMAI ChatAI AgentsRAG & KnowledgeAutomationProductivityDev ToolsDesignWritingSelf-HostedEasy Install

// about this category

About Audio tools

Open-source audio AI is dominated by three jobs: turning speech into text, turning text into natural speech, and cloning or converting voices. Around those sit cleanup tools — noise removal, separation of vocals from music, and mastering helpers that rescue rough recordings.

Transcription tools here run entirely on your machine, which matters when recordings are private: interviews, medical or legal notes, and meeting archives never have to leave your disk. Voice tools vary from research models to polished apps, and the guides flag which is which.

How to choose

  • For transcription, accuracy claims only mean something in your language and accent — test with a minute of your own audio first.
  • Voice cloning tools ask for only a few seconds of reference audio; check the licence before using a cloned voice publicly.
  • If you record in noisy places, pair a cleanup tool with your transcriber rather than replacing it.
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Questions, answered

Which open-source Audio tools are listed here?

This page collects 151 open-source Audio projects curated by LibreAI — Speech, transcription, voice cloning, and audio cleanup. Each one is verified on GitHub and has its own guide page with an overview, install steps, use cases, and an FAQ.

Are these Audio tools free to use?

Yes. Every tool here is open source and free to download and use under its own license — most use MIT, Apache-2.0, or GPL-3.0, and any custom source-available license is flagged on the tool's page. Check the LICENSE file before commercial use.

Does LibreAI host these tools?

No. LibreAI publishes guides only — no downloads are served from this site. Every install comes from the project's official GitHub repository.

How do I install a Audio tool from this page?

Open the tool's guide and follow its 'Run it yourself' section — the steps come from the project's own documentation — or use the 'View on GitHub' button to go straight to the official repository.

How were these tools chosen?

Every project is verified live through the GitHub API — stars, forks, license, and recent activity — and listed only if it has real momentum and an active community.

How accurate is open-source transcription?

The best local transcribers are close to hosted services for clear speech in major languages, and they run offline. Accuracy drops with noise, overlapping speakers, and rare accents — which is why testing a minute of your own recording is the only honest benchmark.

Is voice cloning legal to use?

Only clone voices you have the right to use — your own, or someone's with clear permission. The tools themselves are neutral; consent and local law are on the user, and several projects state this in their documentation.