Audio
Retrieval-based-Voice-Conversion-WebUI
Easily train a good VC model with voice data <= 10 mins!
★ 38.6k starsMIT
View guide →// audio · dograh-hq/dograh
dograh
dograh is an open-source audio project by dograh-hq (dograh-hq/dograh on GitHub). It has 5,800 GitHub stars and 1,471 forks, is released under the BSD-2-Clause license, and was last updated on GitHub on 2 October 2026.
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow build…
★ 5.8k stars⑂ 1.5k forksBSD-2-Clauseupdated 2026-10
▦ 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
- dograh-hq/dograh
- GitHub stars
- 5,800
- Forks
- 1,471
- License
- BSD-2-Clause
- Last updated on GitHub
- 2 October 2026
- Category
- Audio
- Listing
- Full install guide
- Official site
- Official site
// 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
Python ecosystem
Built on Python, so it plugs into the wider data and ML tooling ecosystem.
Diarization
Tell speakers apart in meetings and interviews automatically.
Voice cloning
Clone a voice from a short sample for narration and dubbing.
State-of-the-art models
Whisper-grade transcription and natural neural voices, free.
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.
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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/dograh-hq/dograh.git cd dograh - 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 dograh?
It is an open-source project at dograh-hq/dograh with 1,471 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Is dograh free for commercial use?
Licensed under BSD-2-Clause — check the repo for commercial-use terms.
Does it work offline?
Most of these run fully offline after the model download.
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.
// keep exploring
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View guide →// alternatives
Alternatives in Audio
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if dograh is not the right fit.
- MoneyPrinterTurbo★ 128.3k
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.
- Whisper★ 109.9k
Robust Speech Recognition via Large-Scale Weak Supervision
- GPT-SoVITS★ 62.3k
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
- Real-Time-Voice-Cloning★ 60.2k
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
- whisper.cpp★ 54.1k
Port of OpenAI's Whisper model in C/C++
// more in audio
More in Audio
Nearby Audio projects in the catalogue, closest in stars to dograh — keep exploring the shelf either side of it.
- silero-models★ 6.1k
Silero Models: pre-trained text-to-speech models made embarrassingly simple
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Fast and local neural text-to-speech engine
- StyleTTS2★ 6.4k
Human-level text-to-speech through style diffusion and adversarial training with speech language models.
- whisper-diarization★ 5.7k
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
- argmax-oss-swift★ 6.4k
On-device Speech AI for Apple Silicon
- YouDub-webui★ 5.6k
Open-source AI video localization and dubbing for YouTube/Bilibili: speech recognition, subtitle translation, voice cloning, audio mixing and rendering. 开源 A…
Get dograh
Free and open — grab the source, star the repo, and start creating.