WhisperWriter turns microphone speech into text and types it into the window you're working in. It's for people who want voice input in their existing desktop apps, with a choice between transcription on their own computer and an external service. The Python app runs on Windows, macOS and Linux and uses the GPL-3.0 open-source license.
Local transcription is the default. It uses faster-whisper and can process audio on a CPU or an NVIDIA GPU. With a model stored locally, transcription keeps audio on your machine. You can choose Whisper model sizes to balance accuracy against speed, specify a language and supply a prompt to guide recognition.
For cloud transcription, the app sends recordings to OpenAI's API and requires an API key. It can also connect to a local API endpoint such as LocalAI, so the desktop dictation interface doesn't depend on running the model inside the app itself.
Recording suits both short phrases and longer dictation. A customizable keyboard shortcut controls listening, while continuous mode transcribes after a pause and resumes recording automatically. Other modes stop after silence, toggle recording with a key press, or record only while you hold the shortcut.
A small status window shows recording and transcription progress, and you can hide it. Text cleanup options include removing a final period, adding a trailing space and converting output to lowercase.
Claim this page and we'll verify you by hand. WhisperWriter gets the verified badge, and you can upgrade the listing to be featured on localhosted. Proud to be listed? Put our badge on your site.
Want more people to find WhisperWriter?Promote it
Something wrong or outdated on this page?
32.5KUpdated 2 days agoMIT
macOS · Windows · Linux#GGUF#Hugging Face integration#Voice activity detection
Handy is a free, MIT-licensed speech-to-text app for people who want to dictate wherever they type on a computer. It runs on Windows, macOS and Linux. Transcription happens locally, so your voice stays on your machine and the app can work offline.
8.9KUpdated 9 hours agoMIT
macOS · Windows · Linux · iOS#Batch processing#MCP#Multilingual
1.5KUpdated 5 days agoMIT
macOS · Windows · iOS · Android#Multilingual#Ollama integration#Works offline
superwhisper.comDictation and Voice Typing
macOS · Windows · iOS · Android#Multilingual#Works offline
goodsnooze.gumroad.comDictation and Voice Typing
macOS · iOS#Batch processing#Multilingual#Ollama integration
3KUpdated 3 weeks agoMIT
macOS#Batch processing#Hugging Face integration#Multilingual
OpenWhispr is a free, MIT-licensed dictation and meeting transcription app for people who want voice input across their apps with control over where processing happens. It's available on macOS, Windows, Linux and iOS. Local transcription works offline and keeps audio on your device; optional cloud transcription sends audio to the selected provider, whose retention policies apply.
Amical is a free, open-source AI dictation app that formats spoken text for the app you're using. It's for people who want voice input for email, chat, coding prompts and everyday writing, with a choice between local processing and cloud models. It runs on macOS and Windows, with mobile apps for iOS and Android.
Superwhisper is an AI dictation app for macOS, Windows, iOS and Android that turns speech into text in the app you're using. It's for people who prefer speaking to typing, including developers dictating requests to coding assistants. Speech recognition can run locally and offline, or use cloud models for remote processing.
MacWhisper is a native macOS transcription app for people working with interviews, lectures, meetings and other recorded audio. It runs speech recognition on your own Mac, so local transcription keeps audio on your device. It also offers cloud transcription through services such as OpenAI, ElevenLabs and Deepgram, which send audio off your machine.
OpenSuperWhisper is a local speech-to-text app for people who want to dictate or transcribe recordings on an Apple Silicon Mac. It supports Whisper and Parakeet, with model downloads available inside the app. The project is open source under the MIT license.