
Open source voice-to-text dictation with local AI and total privacy.
By Tanmay Verma, Founder · Last verified 06 Jul 2026
In short
Openwhispr — Open source voice-to-text dictation with local AI and total privacy. Best for Clinicians needing private medical dictation with Corti integration, Lawyers requiring confidential, offline transcription, Developers who want an open-source, self-hosted voice tool. Free to start; paid plans from $6.678/mo.
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A strong open-source option for privacy-focused dictation. Local models work offline, and BYOK avoids vendor lock-in. The free plan covers light use, but heavy cloud transcribers should budget for Pro.
Compare with: Openwhispr vs Circleback, Openwhispr vs Fellow, Openwhispr vs Wispr Flow
Last verified: July 2026
Across the latest 6 updates: 2 feature updates, 1 changelog entry and 3 news mentions.
Guide covers Google Docs voice typing commands, troubleshooting, and offline dictation.
Snippets with shortcuts, Voice Agent hotkey, Corti medical dictation, redesigned dictionary sync, Claude Opus 4.8, Gemini 3.5 Flash, Gemma 4, xAI transcription.
System for capturing decisions, action items, and open questions with a free template.
Mac mouse-button hotkeys for dictation, Google Calendar primary calendar toggle, optional automatic note titling, silence/breathing suppression config.
Fixed spurious Keychain prompts, cloud transcription net::ERR_INVALID_ARGUMENT, Note Formatting selector routing, notes view state stability.
Technical breakdown of local speaker diarization pipeline using pyannote, CAM++, sherpa-onnx, on-device voice profiles.
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
44 mentions across 4 sources (Hacker News, YouTube, Bluesky, GitHub).
How likely is Openwhispr to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →OpenWhispr is an open source voice-to-text dictation app that runs locally or in the cloud, built for professionals who need fast, private transcription. Supporting local AI models (OpenAI Whisper Tiny to Turbo, NVIDIA Parakeet) and cloud transcription via bring-your-own-key (BYOK) for OpenAI Whisper, Claude, Gemini, xAI, and more, it lets you dictate at up to 150 WPM across macOS, Windows, and Linux. Key features include an AI Notepad that generates meeting notes with speaker labels, an AI Chat that knows your meetings, and audio file upload for local transcription. Recent updates (v1.7.3) added Snippets for voice shortcuts, a Voice Agent hotkey, and integration with Corti for medical dictation. The app emphasizes zero data retention: audio sent to the cloud is not stored, and local models process entirely offline. Pricing starts free with unlimited local dictation, 2,000 cloud words/week, and 5 hours of meeting recordings/month. Paid plans (Pro $6.67/user/mo, Business $16.67/user/mo, Enterprise custom) unlock unlimited cloud transcription, device sync, API access, and team admin features. OpenWhispr's open source MIT license and privacy-first design set it apart from proprietary dictation tools like Wispr Flow and Aqua Voice.
OpenWhispr nails the privacy-first dictation use case. The ability to run fully offline with local Whisper models or route through your own API keys means no one else touches your audio. Recent additions like Snippets (voice shortcuts for text expansion) and the Voice Agent hotkey make it faster for power users. Corti integration is a big deal for medical dictation. When to pick this: you need offline transcription, value open source auditability, or want to avoid per-month subscription lock-in. When to pass: you rely on real-time collaborative note editing (not yet supported), need a mobile app (iOS coming soon), or require SSO/audit logs on a free plan. Compared to Wispr Flow, OpenWhispr offers more control and privacy but less polish on voice command automation. Real-world caveat: the free cloud tier is tight — 2,000 words/week and 5 hours of meetings per month — so upgrade fast if you dictate heavily. Overall, a solid choice for developers, clinicians, and legal pros who treat their transcripts as sensitive data.
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Common stack mates teams adopt alongside Openwhispr, with the specific reason each pairing earns its keep.
AI meeting notes with action items, automations, and search.
Voice dictation AI that polishes messy speech into clean text across every app
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