debpalash/voicestudio

VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook...

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Summary Information

Updated 1 hour ago
Added to GitGenius on September 1st, 2026
Created on April 9th, 2026
Open Issues & Pull Requests: 15 (+2)
GitHub issues: Enabled
Number of forks: 2,227
Total Stargazers: 16,591 (+81)
Total Subscribers: 76 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 9.4 hours
Mean response time: 25.0 hours
90th percentile: 2.8 days
Tracked items: 655

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 17% of issues opened in the past year have been closed. Three people close 98% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 12
New in 7 days: 61
Closed in 7 days: 51
Avg open age: 0 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 49
Closed in 7 days: 38
Comments in 7 days: 14
Events in 7 days: 41

Top labels

  • bug (183)
  • enhancement (42)
  • duplicate (40)
  • needs-info (23)
  • from-discord (18)
  • wontfix (17)
  • ready-for-agent (15)
  • invalid (9)

Detailed Description

VoiceStudio is a fully-local, open-source voice AI platform that provides an alternative to commercial services like ElevenLabs, supporting voice cloning, voice design, video dubbing, dictation, transcription, and audiobook creation across a wide range of languages.

The tool addresses the need for privacy-preserving voice processing by running entirely on local hardware rather than relying on cloud services. It combines multiple capabilities into a single workflow: users can clone voices, design custom voice profiles, dub video content, transcribe audio, and generate audiobooks. The platform supports processing in numerous languages and integrates with different acceleration backends including CUDA and MLX for hardware optimization.

VoiceStudio suits developers and content creators who prioritize data privacy and want to avoid vendor lock-in with commercial voice AI services. It works well for projects requiring batch processing of audio content, video localization through dubbing, or building voice-driven applications without external API dependencies. The fully-local architecture means no data leaves the user's machine, making it appropriate for sensitive applications or environments with restricted internet access. Anyone considering adoption should note that running voice AI models locally requires sufficient computational resources, particularly when using GPU acceleration for faster processing.

The project maintains active development with regular updates to its codebase. The repository shows consistent commit activity indicating ongoing refinement of features and bug fixes. The tool is built with Python and uses Tauri for its interface layer, suggesting a focus on cross-platform desktop deployment. The breadth of supported languages and the integration of multiple voice AI capabilities into a unified platform reflect an effort to provide comprehensive functionality rather than a narrowly scoped tool.