Local and offline transcription
Use local speech-to-text models on the computer for offline dictation. OpenWhispr lists Whisper models ranging from Tiny to Turbo, with different size and accuracy profiles.
OpenWhispr is open-source dictation and speech-to-text software for macOS, Windows, Linux, and iOS. It helps developers, writers, teams, and people seeking hands-free input dictate into existing apps, transcribe audio, and create meeting notes using local models or optional cloud processing.
OpenWhispr is open-source dictation and speech-to-text software for turning spoken input into editable text. It supports local AI models for on-device transcription, offline use, and privacy-sensitive workflows, while optional cloud transcription provides another processing path.
The desktop app can send dictated text to the active cursor in writing, communication, and development applications. It also supports audio uploads, meeting recording and notes, voice-driven cleanup or drafting, and multilingual transcription. The product is available across macOS, Windows, Linux, and iOS, with additional sync and team capabilities on paid plans.
Use local speech-to-text models on the computer for offline dictation. OpenWhispr lists Whisper models ranging from Tiny to Turbo, with different size and accuracy profiles.
Dictate into the application already in use, including editors, email, documents, chat tools, and development environments. Text is returned at the active cursor for review.
Turn spoken instructions into formatted output, such as cleaning up an email or drafting a message, using the product’s voice-driven agent mode.
Transcribe recordings and capture meeting notes without requiring a meeting bot to join the call. Meeting outputs can include transcripts, notes, decisions, action items, and open questions.
Support 100+ languages with automatic language detection, including conversations that switch languages.
Add specialized names, jargon, and technical terms through a custom dictionary. The site also describes learning from corrections to improve recognition of recurring words.
Speak code comments, documentation, commit messages, or prompts while staying in an IDE such as Cursor. The resulting text can be reviewed at the active cursor instead of being typed manually.
Record or transcribe a meeting and review structured notes covering decisions, action items, and unresolved questions. Local processing can be used when a meeting bot or cloud upload is not appropriate.
Draft articles, newsletters, emails, briefs, or other long-form text by speaking naturally, then revise the returned text in the writing application. A custom dictionary can help with recurring names and terminology.
Use on-device dictation to reduce keyboard use or make speech input available in the apps already being used. The use-cases site specifically describes workflows for accessibility, RSI, arthritis, dyslexia, and mobility-related needs.
Upload audio or use local transcription to turn lectures, interviews, podcast episodes, or other recordings into searchable text, then dictate summaries or follow-up copy into another application.
OpenWhispr runs on macOS, Windows, Linux, and iOS. The Free plan starts on desktop, while the iPhone and iPad companion apps are included with Pro and higher plans.
Local transcription runs on the computer using local AI models, so audio does not need to be sent to OpenWhispr. Cloud transcription is an optional path; the site also says recordings are deleted after transcription and that transcription data is not used to train models.
Yes. OpenWhispr supports local AI models and lets users bring their own API keys for cloud transcription. The free plan includes unlimited local dictation and cloud transcription with your own keys.
OpenWhispr places dictated text at the active cursor in compatible applications, including tools such as ChatGPT, Claude, Cursor, Google Docs, Gmail, Slack, and Microsoft Teams. Users can then review and edit the text in that application.
The free plan includes unlimited local dictation, unlimited local AI models, 100+ languages, a custom dictionary, and five hours of meeting recordings per month. It also includes up to 2,000 words per week of OpenWhispr Cloud transcription; paid plans add higher cloud and meeting limits plus features such as sync and team tools.
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