Open Source Voibe Alternatives

A curated collection of the 2 best open source alternatives to Voibe.

The best open source alternative to Voibe is FluidVoice. If that doesn't suit you, we've compiled a ranked list of other open source Voibe alternatives to help you find a suitable replacement. Other interesting open source alternative to Voibe is VoiceTypr.

Voibe alternatives are mainly Input & Dictation. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Voibe.

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Voice dictation for macOS that transcribes and cleans up speech on device, for anyone who would rather talk than type.

Screenshot of FluidVoice websiteRead more

Dictation on a Mac usually means sending your voice to somebody else's server. FluidVoice works the other way round, an open source voice-to-text app for macOS where your voice and the text it produces stay on the machine unless you deliberately opt in to a cloud AI provider.

Speech recognition is model agnostic. You choose between Nemotron Speech 3.5, Parakeet Flash, Parakeet TDT v3 and v2, Cohere Transcribe, Apple Speech and Whisper, depending on the language you speak and the latency you can accept. Cleanup, capitalization and formatting are handled either by Fluid Intelligence, a separate local runtime kept private by the authors, or by OpenAI, Groq and custom providers.

Dictation reaches the whole desktop rather than a single window.

  • Command Mode: launch apps, run shortcuts and trigger system actions by voice.
  • Write Mode: dictate new text or rewrite a selection inside any text field.
  • Live preview: a transcription overlay shows words as you speak, fitted around the MacBook notch where there is one.
  • Per-app prompts: different prompt sets can be assigned to different applications, so wording adapts to whatever you are working in.
  • Audio history: optional local recording history with budget controls and ZIP export, kept off cloud storage.

Installation is a Homebrew cask or a direct download of the latest release. A global hotkey captures audio from anywhere, insertion goes through the accessibility APIs so it works app by app, and auto-updates carry an optional beta channel. The app is GPLv3, with iOS and Windows versions announced as on the way.

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Offline-first dictation for macOS and Windows that transcribes speech locally and drops the text into whatever app you are using.

Screenshot of VoiceTypr websiteRead more

Voicetypr turns a global keyboard shortcut into a dictation pipeline for any text field on the machine. Press the shortcut, speak, and the transcript lands at the active cursor, which removes the round trip through a separate transcription window or a metered web service.

The app is built with Tauri v2, Rust and React, with audio recording, transcription orchestration, hotkeys, history and cursor insertion all handled in Rust. Local transcription is the default, using Whisper on both platforms and Apple Silicon optimized Parakeet models on macOS. On Windows an optional Vulkan path runs in an isolated sidecar so the main process stays CPU safe.

Settings decide how much of the work leaves the machine.

  • Local models: audio and transcripts stay on the device, with model files downloaded once and kept there.
  • Cloud speech to text: Soniox, OpenAI, Groq, Deepgram and Cohere are available when a provider suits the job better.
  • AI formatting: rough dictation can be cleaned up by OpenAI, Anthropic, Gemini or a custom OpenAI compatible endpoint.
  • Transcript history: search, filter, compare original against formatted text, copy, save or re-transcribe an entry.
  • Network sharing: another Voicetypr installation on your network can act as a private transcription server.
  • Agent-ready CLI: scripts and local agents get audio to text and microphone capture with plain text or JSON output.

macOS 14 or later and 64-bit Windows 10 build 19041 or later are required, along with microphone and accessibility permissions. Releases are signed and notarized on macOS and also installable from the Microsoft Store. The source is AGPL v3.

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