Audio
whisper-diarization
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
★ 5.7k starsBSD-2-Clause
View guide →// audio · nari-labs/dia
dia
dia is an open-source audio project by nari-labs (nari-labs/dia on GitHub). It has 19,392 GitHub stars and 1,690 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 19 November 2025.
A TTS model capable of generating ultra-realistic dialogue in one pass.
★ 19.4k stars⑂ 1.7k forksApache-2.0updated 2025-11
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- Repository
- nari-labs/dia
- GitHub stars
- 19,392
- Forks
- 1,690
- License
- Apache-2.0
- Last updated on GitHub
- 19 November 2025
- Category
- Audio
- Listing
- Full install guide
- Official site
- GitHub repo
// how it works
How it works
- Pick the job
Transcription, synthesis, voice changing, or editing — each tool here majors in one.
- Install and set up
Binaries, pip packages, or Docker; models download on first run for AI tools.
- Feed it audio or text
Drop in a recording or type what you want spoken.
- Export the result
WAV/MP3/OGG outputs drop straight into editors or apps.
// features
Why people love it
Speech synthesis
High-quality text-to-speech voices built in.
Offline capable
Many run fully on-device — nothing you say leaves the machine.
Free for products
Open licenses let you ship voice features without per-minute API bills.
Scriptable
CLI and Python APIs slot into larger pipelines.
Multilingual
Dozens of languages supported, not just English.
Real-time options
Streaming transcription and TTS for live applications.
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// run it
Run it yourself
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/nari-labs/dia.git cd dia - Step 2 — Check the README
Every project documents its own setup; start with install requirements.
cat README.md | head -60 - Step 3 — Run it
Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch command
// use cases
What you can build
- Transcribe meetings, lectures, and interviews.
- Generate voiceovers without a studio.
- Clone voices for dubbing and accessibility.
- Clean up and edit recordings.
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// faq
Questions, answered
Who maintains dia?
It is an open-source project at nari-labs/dia with 1,690 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Is dia free for commercial use?
Apache 2.0 licensed — commercial use allowed with attribution.
Can I use the voices commercially?
Check each license — many allow it, but voice-cloning has ethical and legal boundaries.
How accurate is the transcription?
Whisper-class models rival paid services on clear audio; noisy recordings need cleanup first.
Which languages are supported?
Dozens; English is strongest, major world languages are solid.
// keep exploring
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View guide →// alternatives
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The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if dia is not the right fit.
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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.
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Robust Speech Recognition via Large-Scale Weak Supervision
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Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
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// more in audio
More in Audio
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Get dia
Free and open — grab the source, star the repo, and start creating.