Open Source Voice AI Apps

Explore open source voice AI tools for speech-to-text dictation, text-to-speech, voice cloning and voice assistants, plus the commercial products they replace.

11 apps available

Apps in Voice AI

JavaScript
52%
MIT

OpenWhispr

AI Assistants · Productivity · Voice AI

9,213

Privacy-first, cross-platform voice-to-text with local AI and cloud options

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88
Repo Health
80
Technical
71
Dependency
Built with
JavaScript 52%
TypeScript 43%
Updated 1 weeks ago
TypeScript
64%
Other

Epicenter

Developer Tools · Knowledge Management · Note Taking

4,822

A local-first monorepo led by Whispering, an open-source speech-to-text app, built on an MIT toolkit that turns your data into plain Markdown and SQLite files you own instead of a database you rent.

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87
Repo Health
90
Technical
64
Dependency
Built with
TypeScript 64%
HTML 13%
Svelte 13%
Updated 2 weeks ago
Rust
61%
MIT

Handy

Productivity · Voice AI

33,384

Free, offline, open-source speech-to-text that pastes directly into any app on Windows, macOS, and Linux.

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87
Repo Health
78
Technical
71
Dependency
Built with
Rust 61%
TypeScript 29%
Updated 1 weeks ago
Python
46%
MIT

Voicebox

AI Development · Productivity · Voice AI

56,770

Clone voices, dictate anywhere, and give AI agents your voice — all locally.

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86
Repo Health
76
Technical
68
Dependency
Built with
Python 46%
TypeScript 42%
Updated 2 weeks ago
Swift
99%
Other

VoiceInk

AI Assistants · Productivity · Voice AI

6,716

A native macOS dictation app that turns speech into text on-device with Whisper or Parakeet models, then cleans the result up with an AI pass tuned to whichever app you are typing into.

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86
Repo Health
71
Technical
0
Dependency
Built with
Swift 99%
Updated 3 weeks ago
Python
56%
AGPL 3.0

VoiceStudio

Mcp · Music Audio · Voice AI

56,519

Open-source, fully local ElevenLabs alternative for voice cloning, voice design, video dubbing, dictation, transcription and audiobooks, with a local API and MCP server for agents.

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86
Repo Health
83
Technical
70
Dependency
Built with
Python 56%
JavaScript 22%
TypeScript 20%
Updated 1 weeks ago
TypeScript
89%
MIT

Amical

AI Assistants · Note Taking · Voice AI

1,550

Local-first AI dictation that understands your active app — private, offline, and built for speed.

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81
Repo Health
82
Technical
67
Dependency
Built with
TypeScript 89%
Updated 3 weeks ago
Python
82%
Other

fish-speech

AI Development · Developer Tools · Music Audio

32,981

SOTA open-source dual-autoregressive text-to-speech model with rapid voice cloning, inline emotion tags, and real-time streaming inference across 80+ languages.

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71
Repo Health
71
Technical
73
Dependency
Built with
Python 82%
TypeScript 14%
Updated 2 weeks ago
Swift
99%
Other

Ghost Pepper

AI Assistants · Voice AI

3,199

A 100% private, on-device macOS dictation and meeting-transcription app — hold Control to talk, transcribes and pastes locally via Apple Silicon with no cloud APIs or data leaving your Mac.

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66
Repo Health
68
Technical
0
Dependency
Built with
Swift 99%
Updated 2 months ago
Python
99%
Apache 2.0

Rasa Open Source

AI Assistants · AI Development · Voice AI

21,345

Rasa Open Source is a Python machine learning framework for building contextual, multi-turn chatbots and voice assistants that understand natural language and maintain conversation state.

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63
Repo Health
78
Technical
63
Dependency
Built with
Python 99%
Updated 3 months ago
Swift
78%
MIT

Frog

AI Assistants · Productivity · Voice AI

47

An open-source, on-device Mac desktop pet that types what you say, takes meeting notes with speaker labels, and talks back — a private alternative to Wispr Flow and Granola.

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55
Repo Health
65
Technical
91
Dependency
Built with
Swift 78%
JavaScript 20%
Updated 1 weeks ago

About Voice AI

Voice as an interface

Speech models got good and small at the same time. Whisper, Parakeet and a wave of open text-to-speech models now run on a laptop, which means voice software no longer has to send your audio to someone else’s server. This category collects the open source projects built on that shift, alongside the commercial products they compete with.

What’s in this category

  • Dictation and speech-to-text — system-wide apps that let you talk into any text field and get clean, punctuated writing back. Many add an AI pass that removes filler words and adapts formatting to the app you’re typing in.
  • Text-to-speech and voice cloning — models and studios that generate natural speech from text, clone a voice from a short sample, and stream audio in real time for narration, voiceovers or agents.
  • Voice assistants — frameworks for building assistants that understand spoken requests, keep track of a conversation and act on it.

How to choose

Local or cloud. On-device tools keep audio private and cost nothing per use, but quality and speed depend on your hardware and the model you pick. Cloud services usually win on polish and cross-device sync, at the cost of sending recordings to a third party.

Model choice. Check which speech models a tool supports and whether you can swap them. Being able to move from a small, fast model to a larger, more accurate one matters more over time than any single feature.

Platforms. Many dictation apps are macOS-only. If you work across Windows, Linux or mobile, filter for that first.

Latency. For dictation and live assistants, the delay between speaking and seeing or hearing a result decides whether a tool feels usable. Streaming support is worth looking for.

Licensing for voices. For text-to-speech and cloning, read the model license as well as the code license — some open weights restrict commercial use.

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