Handy vs OpenWhispr
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
Free, open source desktop app that turns your speech into text on your own computer, offline.
Open source · MIT
Desktop app that turns your speech into text at the cursor, with local or cloud models.
The short answer
Choose Handy if you need…
- People who want dictation without sending their voice to a cloud service
- Anyone who wants a free, open source alternative to paid dictation tools
- People who prefer a simple hold-to-talk or toggle shortcut workflow
- Users on Windows, macOS, or Linux looking for offline transcription
Choose OpenWhispr if you need…
- People who want dictation in any app without sending audio to a cloud service
- Users who want to bring their own OpenAI, Anthropic, Gemini, or Groq API keys
- Mac, Windows, or Linux users looking for a free alternative to paid dictation tools
- Developers who want to read or modify a desktop speech-to-text app
Side-by-side
| Handy | OpenWhispr | |
|---|---|---|
| Type | App | App |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 37k | 10.5k |
| Setup difficulty | Beginner | Beginner |
| How you get it | Download the app | Download the app |
| Main language | Rust | JavaScript |
| Last code update | 4 days ago | 4 days ago |
What each one is
Handy
Handy is a cross-platform desktop app for speech-to-text. You press a keyboard shortcut, speak, and your words are typed or pasted into whatever text field is active. According to the README, transcription runs locally using Whisper or Parakeet V3 models, so audio is not sent to the cloud.
OpenWhispr
OpenWhispr is a desktop app for dictation. You press a hotkey, speak, and your words are typed or pasted where your cursor is. You can run speech recognition fully on your own device with local models such as Whisper or NVIDIA Parakeet, or use cloud providers if you bring your own API keys. The README also describes meeting transcription and notes features.
Best for
Handy
- People who want dictation without sending their voice to a cloud service
- Anyone who wants a free, open source alternative to paid dictation tools
- People who prefer a simple hold-to-talk or toggle shortcut workflow
- Users on Windows, macOS, or Linux looking for offline transcription
- Accessibility-minded users who type by voice
OpenWhispr
- People who want dictation in any app without sending audio to a cloud service
- Users who want to bring their own OpenAI, Anthropic, Gemini, or Groq API keys
- Mac, Windows, or Linux users looking for a free alternative to paid dictation tools
- Developers who want to read or modify a desktop speech-to-text app
Strengths
Handy
- Runs locally, so the README says audio stays on your computer
- Free and MIT licensed, with source code available to extend
- Lets you choose between several Whisper model sizes and Parakeet V3
OpenWhispr
- Local transcription keeps audio on your device, according to the README
- Open source under the MIT license, free for personal and commercial use
- Available for macOS, Windows, and Linux with prebuilt installers
Not ideal for
Handy
- Users on Wayland Linux who cannot install extra text input tools, since the README says Wayland support is limited and needs wtype or dotool
- Mac users who want the fn/Globe key as a shortcut on a third-party keyboard, because the README says it only works on Apple keyboards
- Anyone expecting a polished, fully stable product, since the README calls CLI flags a beta feature and the project is actively developed
OpenWhispr
- Users who need a mobile-only tool: the README describes a separate Expo mobile app with its own setup
- Intel Mac users who need speaker identification: the README says live speaker identification and voice fingerprinting are unavailable on Intel Macs
- People who want a simple no-setup install with no API keys: cloud features require your own keys, and local models depend on your hardware
Trade-offs
Handy
- Linux text input needs extra tools such as xdotool, wtype, or dotool, and Wayland support is described as limited
- Some features are beta or have known issues, such as Bluetooth headset audio quality on macOS
- Model choice and GPU use affect speed, and the README does not give performance numbers
OpenWhispr
- Cloud features and some AI features require your own API keys, per the BYOK model
- Some features, such as speaker identification, have platform limits like Intel Macs
- Setup for development needs Node.js 24+ and the README points to external docs for platform details
Getting started
Handy
Install the downloaded .deb on Debian/Ubuntu
sudo apt install ./Handy_*.debInstall on macOS via Homebrew cask (not maintained by Handy developers)
brew install --cask handyOpenWhispr
Install via Homebrew (macOS or x86_64 Linux, community-maintained)
brew install --cask openwhisprFrequently asked questions
What is the difference between Handy and OpenWhispr?
Handy: Free, open source desktop app that turns your speech into text on your own computer, offline. OpenWhispr: Desktop app that turns your speech into text at the cursor, with local or cloud models. Handy suits people who want dictation without sending their voice to a cloud service, while OpenWhispr suits people who want dictation in any app without sending audio to a cloud service.
Are Handy and OpenWhispr free?
Handy: Free and open source. OpenWhispr: Free and open source.
Is Handy or OpenWhispr more popular?
Handy has more GitHub stars (37k) than OpenWhispr (10.5k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to Handy and OpenWhispr?
Other options people compare them with include whisper.cpp, Buzz, LibreChat, MCP for Unity, DeepWiki.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.