Openwhispr
Open-source voice-to-text dictation that runs local speech models offline or routes cloud transcription through your own API keys.
OpenWhispr is the pick when privacy or offline operation is non-negotiable, and unlimited local dictation stays free on every tier — including Free — so you can test that claim without a card. The 5.1k-star MIT codebase is the actual differentiator: you can point it at Whisper Turbo, Parakeet, or Gemma 4 locally, or bring your own key from Deepgram, Groq, Bedrock, or Corti. Against Wispr Flow and Aqua Voice the gap is fit and finish, not capability. If you don't care where your audio goes, the paid incumbents still feel more finished; for medical, legal, and air-gapped work nothing at this price touches it.
Verified 10d ago · liveness 82/100 · cite: rightaichoice.com/tools/openwhispr
- Clinicians who need HIPAA-aligned private dictation with local or cloud processing
- Lawyers and legal teams transcribing confidential client material without sending audio out
- Developers who want an MIT-licensed tool they can self-host and point at their own keys
- Anyone dictating into AI chat tools like ChatGPT, Claude, or Cursor without retyping prompts
- Users who need simultaneous multi-person editing on a shared note — note editing is single-user
- Anyone wanting a browser-only tool that requires no desktop installation
- Full-time hosted cloud dictation on the free tier without your own API keys — hosted cloud stops at 2,000 words/week
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Skip OpenWhispr if you need two people editing the same note at the same time, want a browser-only tool with no desktop install, or need SSO and audit logs without moving to Enterprise.
Hosted OpenWhispr Cloud transcription on Free stops at 2,000 words/week — going past it means subscribing to Pro or plugging in your own API key and paying that provider directly.
OpenWhispr sits below the paid dictation incumbents: Pro is $6.67/user/mo billed annually ($80/user/year) and Business $13.33/user/mo billed annually ($160/user/year), with monthly billing also offered and 2 months free on annual. A solo privacy-first user pays nothing at all — unlimited local dictation and 100+ languages are free forever. Wispr Flow and Aqua Voice cost more per seat, and neither gives you the source code or a local-only path at any price.
In short
Openwhispr — Open-source voice-to-text dictation that runs local speech models offline or routes cloud transcription through your own API keys. Best for Clinicians who need HIPAA-aligned private dictation with local or cloud processing, Lawyers and legal teams transcribing confidential client material without sending audio out, Developers who want an MIT-licensed tool they can self-host and point at their own keys. Free to start; paid plans from $6.67/user/mo.
What's new in Openwhispr
Checked 3 days agoAcross the latest 3 updates: 3 changelog entries.
Windows System Audio Helper v1.2.0
Prebuilt Windows system audio helper binary for meeting transcription. Captures system audio via WASAPI process loopback, excluding OpenWhispr's own audio. Requires Windows 10 2004+.
OpenWhispr 1.10.2
Hotfix for 1.10.1. Bring-your-own-key AI Summary no longer times out on long transcripts; empty recordings return a one-line summary instead of an error; OpenRouter models read screenshots again.
OpenWhispr 1.10.1
Faster local dictation via concurrent Parakeet/Orukeet decoding and raw 16 kHz engine input. Team spaces consolidate to a single roster and settings dialog; multiple dictation and transcription bugs fixed. Bring-your-own-key Deepgram and AssemblyAI restored.
What people actually say about Openwhispr — is it worth it?
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) · researched Jul 6, 2026.
Average across the 4 sources that answered — each source counts once, not each post.
- +Open source MIT license ensures no vendor lock-in.
- +Runs locally with Whisper and Parakeet models for privacy.
- +Cross-platform support for macOS, Windows, and Linux.
- +BYOK cloud transcription supports OpenAI, Claude, Gemini, xAI.
- +AI Notepad generates meeting notes with speaker labels.
- −Buggy hotkey registration in latest releases.
- −Auto-paste toggle mentioned in docs is missing from UI.
- −Non-English speech incorrectly translates to English.
- −Model downloads can fail silently on Windows.
- −Many open GitHub issues indicate rough polish.
- • BYOK cloud transcription requires separate API keys with usage fees from OpenAI, Anthropic, etc.
Viability Score
How well maintained and how widely used is Openwhispr? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Voice-to-text dictation into any app at roughly 150 WPM
- Local speech-to-text models: Whisper Tiny/Base/Small/Medium/Turbo, NVIDIA Parakeet, Nemotron, Gemma 4
- Cloud transcription with bring-your-own-key providers (OpenAI, Claude, Gemini, xAI, OpenRouter, AWS Bedrock, Groq, Mistral, Deepgram, AssemblyAI, Ollama, Corti)
- Zero data retention and no model training on your transcriptions
- AI Meeting Notes with speaker labels and named speakers
- Unified voice assistant pill combining dictation and AI chat (v1.9.0)
- Generate AI Summary with your own API key or an enterprise provider
- AI Chat that answers questions over your own meeting data (Business and up)
- Audio and video file upload plus import from URLs with speaker detection
- Live streaming transcription with Nemotron (v1.7.6)
- Dictation translation (v1.7.6)
- Custom dictionary that auto-learns names and jargon from your corrections
- 100+ languages with auto-detection and mid-conversation switching
- Vulkan GPU acceleration for AMD/Intel GPUs (v1.7.6)
- Windows Fast Paste v2.0.0 using Win32 SendInput with automatic terminal detection
About Openwhispr
OpenWhispr is an MIT-licensed voice-to-text dictation app for macOS, Windows, Linux, and iOS that turns speech into typed text in whatever app your cursor is sitting in — ChatGPT, Claude, Cursor, Slack, Docs, Gmail, Teams. It runs local speech-to-text models (Whisper Tiny through Turbo, NVIDIA Parakeet, Nemotron, Gemma 4) on your own machine so audio never leaves the device, or you can route cloud transcription through your own API keys from OpenAI, Claude, Gemini, xAI, OpenRouter, AWS Bedrock, Groq, Mistral, Ollama, Deepgram, AssemblyAI, or Corti. Beyond dictation it handles AI Meeting Notes with real speaker names and labels, a unified voice assistant pill that combines dictation and AI chat (v1.9.0), AI summaries generated with your own key, audio-file and video upload plus URL import with speaker detection, command-line interface, and MCP integration. A custom dictionary auto-learns names and jargon like gRPC or PostgreSQL from your corrections, and dictation works in 100+ languages with auto-detection and mid-conversation switching. The vendor states 0% data retention and that transcriptions are not used to train models. Pricing goes free forever with unlimited local dictation, then Pro at $6.67/user/mo billed annually ($80/user/year) and Business at $13.33/user/mo billed annually ($160/user/year), both with monthly billing available.
Behind the Verdict
OpenWhispr's bet is architectural, and it holds up. Local speech-to-text is the default path, not a fallback — Whisper Tiny (75 MB) through Turbo (1.6 GB), NVIDIA Parakeet, Nemotron, and Gemma 4 all run on your own hardware, and Parakeet/Orukeet now decode their 15-second segments concurrently with a raw 16 kHz copy handed to the local engine instead of FFmpeg-unpacked WebM/Opus (v1.10.1). That matters: 0xSero reports running it against local models and hardware and finding it better than typing, and Adrian Nutiu measured Whisper Base as near-instant, better in his testing than Parakeet. Cloud is opt-in rather than default. Bring-your-own-key coverage is genuinely wide — OpenAI, Claude, Gemini, xAI, OpenRouter, AWS Bedrock, Groq, Mistral, Ollama, Deepgram, AssemblyAI, Corti — and Deepgram/AssemblyAI were repaired in v1.10.1 after a 401 and a sample-rate mismatch respectively. One caveat worth reading before you commit a workflow to it: the v1.10.2 hotfix exists because every bring-your-own-key request shared a 30-second deadline meant for dictation cleanup, so a long transcript through a reasoning model such as GPT-5.6 Terra spun for ~90 seconds, billed four requests, and ended in a timeout with no note. Note formatting now waits up to ten minutes. That is a young product moving fast. The upside is the roadmap: v1.9.0 unified dictation and AI chat into one assistant pill, v1.8.1 added team spaces and web note sharing, v1.7.5 added multiple hotkeys per action and OpenRouter as a built-in provider, v1.7.6 added translation, URL audio import, Vulkan GPU acceleration for AMD/Intel, and live streaming transcription with Nemotron, and v1.10.2 fixed OpenRouter vision models reading screenshots again. The gaps are fit and finish rather than function. Note editing is single-user, so teams that want two people in one note at once will be frustrated. Mobile is a Pro-and-up companion app, not a free one. Hosted cloud on Free stops at 2,000 words/week. And the compliance story (HIPAA, SOC 2 Type II, ISO 27001) is asserted on the homepage but SSO, SAML, SCIM, audit logs, org-wide retention controls, and a DPA sit behind the Enterprise tier — so a security-conscious team that needs those controls cannot stay on Pro. Where it fits: clinicians, lawyers, developers, and anyone dictating into AI chat tools who wants the transcript to stay on the machine. Where it doesn't: browser-only workflows, and teams that need simultaneous collaborative editing.
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Real-world workflow fit
Concrete scenarios for the personas Openwhispr actually fits — and what changes day-one when you adopt it.
Installs the macOS build, downloads Whisper Base (142 MB) locally in onboarding, sets a dictation hotkey, and dictates prompts into Cursor and Claude without leaving the terminal or the editor.
Outcome: Dictation at roughly 150 WPM with no audio leaving the machine, and a custom dictionary that learns gRPC and PostgreSQL from corrections within the first week.
Runs dictation locally against a larger Whisper model, routes only cloud needs through a Corti key, and uses the custom dictionary for patient names and drug terminology.
Outcome: Clinical notes dictated at speed with audio never reaching OpenWhispr's servers — the privacy claim is verifiable in the MIT source on GitHub.
Upgrades to Business, opens a team space, records the weekly planning call with meeting auto-stop, and shares the resulting note with speaker names and action items via web link.
Outcome: A labelled transcript and AI summary in the team space within minutes of the call ending, with chat-over-your-data available on the same tier.
Use Cases
- Dictate emails and documents hands-free at roughly 3x your typing speed
- Transcribe meeting recordings with speaker labels and action items
- Create medical notes with clinical-grade accuracy using the Corti integration
- Build custom voice commands for code, legal jargon, or technical terms
- Capture ideas on the go with offline local transcription and no wifi
- Pipe voice into AI assistants like ChatGPT, Claude, or Cursor via hotkey without retyping
- Translate dictation into another language (v1.7.6)
- Share meeting notes with your team via web links (v1.8.0)
Models Under the Hood
as of 2026-10-04
Limitations
- Hosted OpenWhispr Cloud transcription on Free is capped at 2,000 words/week; unlimited requires Pro or up, or you supply your own API keys.
- Meeting recordings are 5 hrs/month on Free, 20 hrs/month on Pro, and unlimited only on Business.
- Sync across devices, the mobile companion app, API/MCP access, and Agent mode are Pro-and-up, while Chat over your own data is Business-and-up; SSO, SAML, SCIM, audit logs, and retention controls are Enterprise-only.
- Some features have shipped with rough edges, e.g. the v1.10.2 hotfix fixed bring-your-own-key summary generation sharing a dictation-sized 30-second timeout.
as of 2026-09-27
Verification history
We have re-verified Openwhispr 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Openwhispr tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Solo privacy-first user who dictates locally and never needs sync, mobile, or hosted cloud volume — no card required to start.
What this tier adds
Starting tier: unlimited local AI models, 100+ languages, custom dictionary, 2,000 words/week of hosted cloud, and 5 hrs/month of meeting recordings.
Pro
$6.67/user/mo billed annually ($80/user/year)
Ideal for
Individual professional or small team that needs cross-device sync, the iPhone/iPad app, and unlimited hosted cloud without running everything locally.
What this tier adds
Adds unlimited OpenWhispr Cloud transcription, Agent mode, 20 hrs/month of meeting recordings, device sync, personal API access, MCP integration, and the iPhone & iPad app.
Business
$13.33/user/mo billed annually ($160/user/year)
Ideal for
A team that records meetings constantly and wants to query its own transcript history rather than just store it.
What this tier adds
Adds unlimited meeting recordings, chat over your own data, and basic team management and admin on top of Pro.
Enterprise
Custom
Ideal for
Regulated or security-reviewed organizations that need SSO, provisioning, audit trails, and a signed data processing agreement.
What this tier adds
Adds SSO, SAML and SCIM provisioning, audit logs, org-wide retention controls, compliance documentation and DPA, advanced team administration, and dedicated support.
Where the pricing makes sense
The company stage and team size where Openwhispr's pricing actually pencils out — and where peers do it cheaper.
OpenWhispr sits below the paid dictation incumbents: Pro is $6.67/user/mo billed annually ($80/user/year) and Business $13.33/user/mo billed annually ($160/user/year), with monthly billing also offered and 2 months free on annual. A solo privacy-first user pays nothing at all — unlimited local dictation and 100+ languages are free forever. Wispr Flow and Aqua Voice cost more per seat, and neither gives you the source code or a local-only path at any price.
Setup time & first value
How long it actually takes to get something useful out of Openwhispr — broken out by persona, not the marketing-page minute.
Solo user on macOS, Windows, or Linux: 5–10 minutes including the local model download — Whisper Tiny is 75 MB and Base is 142 MB, so a small model is live almost immediately. Clinicians and legal users adding a Corti or Deepgram key: add about 5 minutes for key entry and a test transcription. Teams on Business: allow 20–30 minutes for space creation, group setup, and inviting members from the
Switching to or from Openwhispr
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Wispr Flow: install OpenWhispr, set the same dictation hotkey, and point it at a local Whisper model for a privacy-first path or your own provider key for cloud.
- →From Aqua Voice: keep your existing API spend by entering the same provider key — OpenWhispr accepts OpenAI, Groq, Deepgram, and others directly.
- →From macOS built-in dictation: install the desktop app, choose a local model in onboarding, and dictation works in every app that accepts text, not just Apple's.
- →From a cloud-only transcription service: run one recording through a local Whisper model first to compare accuracy before switching your meeting workflow over.
- →From manual note-taking: upload existing meeting audio and video files (.mp4, .mov, .mkv, .3gp, MPEG audio) to get speaker-labelled transcripts retroactively.
- ↗To Wispr Flow: expect more polished fit and finish, but your audio leaves your device and you lose the local-model option.
- ↗To Aqua Voice: comparable dictation feel, but no MIT source code and no self-hosted, air-gapped path.
- ↗To macOS or Windows built-in dictation: zero cost, but no custom dictionary, no meeting notes, and no 100+ language switching mid-conversation.
- ↗To a hosted transcription API directly: more control over the pipeline, but you rebuild the hotkey, dictionary, and meeting-note layer yourself.
- ↗To a dedicated meeting-notes tool: better collaborative note editing, but you give up the unified dictation-plus-chat pill.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Openwhispr”, and we withheld 6: 6 could not be judged, because “Openwhispr” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Openwhispr.
Tools that pair well with Openwhispr
Common stack mates teams adopt alongside Openwhispr, with the specific reason each pairing earns its keep.
Voicebox
Open-source desktop voice studio for local cloning, dictation, and agent speech — no account, no cloud, MIT licensed.
Laxis
Laxis pairs an AI meeting notetaker with a voice keyboard that turns speech into polished text in any app.
Opentypeless
Free, open-source desktop voice typing that turns your speech into polished text in any app via your own AI provider keys.
Featured Head-to-Head Comparisons
Openwhispr vs Guesty
These tools serve completely different needs: Guesty is a full vacation rental management platform for property managers automating operations across 60+ channels, while Openwhispr is a privacy-focused voice-to-text app for professionals who need fast dictation without leaving a data trail. Choose based on your primary workflow—hospitality ops or transcription.
Openwhispr vs Gem
Gem is for recruiting teams that need an all-in-one ATS/CRM with AI agents to automate sourcing and screening. OpenWhispr is for professionals who want private, local voice-to-text dictation and meeting notes. They serve entirely different use cases—choose based on whether you're hiring at scale or need fast, private transcription.
Openwhispr vs Poke Interaction Co
Choose OpenWhispr if your priority is fast, private voice dictation with local AI and medical-grade features (Corti). Choose Poke if you want a conversational AI assistant inside your existing messaging apps to manage email, calendar, health, and automations. They serve completely different needs: dictation vs. life management.
Assemblyai vs Openwhispr
If you need private, offline dictation with local AI and maximum control over your data, OpenWhispr is the clear choice. If you're building voice agents, real-time transcription APIs, or speech understanding pipelines and need cloud-scale accuracy that now meets human parity, AssemblyAI is the superior platform. OpenWhispr is for the privacy-first professional; AssemblyAI is for the developer shipping voice AI.
Openwhispr vs Voiceitt
Choose Voiceitt if you or your users have non-standard speech (cerebral palsy, ALS, accents) and need an inclusive voice interface with live captioning in meetings. Choose OpenWhispr if you are a professional (clinician, lawyer, developer) who needs fast, private dictation with local AI, speaker labels, and the ability to bring your own cloud keys. The tools serve fundamentally different needs — one is assistive tech, the other is productivity software.
Alternatives to Openwhispr
View all
Voicebox
Open-source desktop voice studio for local cloning, dictation, and agent speech — no account, no cloud, MIT licensed.
Laxis
Laxis pairs an AI meeting notetaker with a voice keyboard that turns speech into polished text in any app.
Opentypeless
Free, open-source desktop voice typing that turns your speech into polished text in any app via your own AI provider keys.
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