A privacy-first, open-source speech-to-text application that runs entirely on your machine, powered by a neural network via NVIDIA’s Parakeet model for fast, local transcription. Murmure turns your voice into text with no internet connection and zero data collection, and supports 25 European languages.

Learn more on the on the official website.

• Privacy First: All processing happens locally on your device. No data ever leaves your computer.
• No Telemetry: Zero tracking, zero analytics. Your data stays yours, always.
• Open Source: Free and open source software. Inspect, modify, and contribute.
• Powered by Parakeet: NVIDIA’s state-of-the-art speech recognition model runs entirely on-device for fast, low-latency transcription.

Bulgarian (bg), Croatian (hr), Czech (cs), Danish (da), Dutch (nl), English (en), Estonian (et), Finnish (fi), French (fr), German (de), Greek (el), Hungarian (hu), Italian (it), Latvian (lv), Lithuanian (lt), Maltese (mt), Polish (pl), Portuguese (pt), Romanian (ro), Slovak (sk), Slovenian (sl), Spanish (es), Swedish (sv), Russian (ru), Ukrainian (uk)

⚠️ Windows SmartScreen : This installer is not signed with a commercial certificate (which costs ~€200–€500/year).
If you downloaded it from our official GitHub releases, you can safely continue.

🛡️ We guarantee the installer is safe, contains no malware, and you can verify the source code — or even compile it yourself if you prefer.

1. Download murmure_{version}_x64_en-US.msi from the release page
2. Run the installer and follow the setup wizard.

⚠️ Murmure doesn’t work well on Wayland-based distributions (except Fedora, which has no issues). It seems to be a problem related to the Tauri framework I used, and being on X11 doesn’t make it easy for me to fix the issue.

1. Download murmure_{version}_amd64.AppImage from release page
2. Make it executable: chmod +x murmure-x86_64.AppImage
3. Run the AppImage.

Murmure uses the ALSA API to access your microphone, so if you're running Pipewire for your audio stack, make sure that the ALSA API calls are routed through it (e.g. by installing the pipewire-alsa package on Arch Linux), otherwise you'll have errors such as ALSA lib pcm_dsnoop.c:567:(snd_pcm_dsnoop_open) unable to open slave.

Murmure provides a clean and focused speech-to-text experience. Once launched, simply start recording your voice. The text appears instantly, processed directly on your computer.

Typical use cases include:

• Dictating to any AI prompt (Cursor, ChatGPT, Mistral, etc.)
• Writing notes hands-free
• Capturing creative ideas or dictation

Because all computation is local, no network connection is required.

Murmure uses NVIDIA’s Parakeet TDT, a highly optimized, experimental transformer-based speech recognition model designed for low-latency, on-device inference. It combines fast transcription with strong accuracy across multiple languages, running efficiently on consumer GPUs or CPUs.

• (1.4.0) feat: Click on history, save it in clipboard
• (1.4.0) feat: Add a button to clear transcription history
• (1.4.0) Fix: Second transcription losing cursor focus and sometimes not working properly.
• (1.4.0) Fix: Minor UI change on long shortcut in Settings
• (1.4.0) feat: Add option in Settings to keep the transcription in clipboard
• (1.5.0) Allow selecting the input microphone
• (1.5.0) Display the overlay on the active screen
• (1.5.0) Scale overlay based on screen DPI or add a zoom option
• (1.5.0) Add keyboard shortcuts to start and stop recording (outside push-to-talk mode)
• (1.5.0) Try to Fix EGL Error on Arch Linux + wayland
• Fix bug: the visualizer does not always reset at the end of a transcription
• Improve the custom dictionary algorithm
• API: Create an API to fetch the latest transcription
• API(Webhook): Send an HTTP request after CTRL + SPACE, opens up many interesting possibilities
• Allow uploading an audio file and outputting a .txt transcript
• Support MP3 files in addition to WAV (since some recorders use MP3)
• Add benchmarking vs Whisper and Plaud: identify where the model performs best (microphone speech, conference, meeting) and test potential optimizations
• Major: Add real-time streaming (POC)
• Major: Integrate an LLM to enhance or modify transcriptions
• Major: Implement a plugin system

• Thanks to NVIDIA for the Parakeet TDT model, Tauri for being an amazing tool, and to the open‑source community for their tools and libraries.

Murmure is free and open source, released under the GNU GPL v3 License. You can inspect, modify, and redistribute it freely as long as derivative works remain open source.

See CONTRIBUTING.md.

Reporting issues is done on GitHub.

If you like Murmure and want to support its development: Support on Tipeee