I was inspired by Wispr Flow and wanted the same workflow inside business apps (CRMs, docs, forms, support tools), not just a standalone tool. It\u2019s saved me a massive amount of time vs typing.
How it works: add a couple lines of JS plus an API key, and SpeechOS shows a small mic widget on every text field.
Live demo: https://www.speechos.ai/
(Click a text box and the mic widget appears; click the gear icon to see settings, custom vocabulary, and snippet configuration.)
Users can:
- Dictate: speak naturally, real-time voice to polished text (punctuation, no filler/typos)
- Edit: say \u201cmake it shorter\u201d, \u201cfix grammar\u201d, \u201ctranslate...\u201d
- Command: define Siri-style app actions (for example, \u201csubmit form\u201d, \u201cmark complete\u201d), and we match intent to your commands
It also supports:
- Custom vocabulary: domain terms and names (product names, acronyms, jargon) so they transcribe correctly
- Text snippets: saved reusable blocks of text you can insert by voice (for example, \u201cmy signature\u201d, \u201cdisclaimer\u201d, \u201cmy address\u201d)
Why: text entry speed and accuracy still matter for productivity tools. A large-scale text entry dataset with 37,370 participants showed an average typing speed of 36.2 WPM and ~2.3% uncorrected errors. In speech research, speech recognition was about 3\u00d7 faster than keyboard input and had ~20.4% lower error rate for English text entry. (https://hci.stanford.edu/research/speech/)
SpeechOS is currently in beta and free for now. Sign up at https://app.speechos.ai/accounts/signup/ and enter this HN-only beta code: HN-JFc74cVC (please don\u2019t share outside HN).
Links:
SDK repo: https://github.com/speechos-org/speechos-client
Demo: https://www.speechos.ai/
Signup (code: HN-JFc74cVC): https://app.speechos.ai/accounts/signup/
I\u2019d love feedback on:
1) Where this is most valuable in your stack (notes? docs? CRM entry? support macros?)
2) What you\u2019d want from voice commands/snippets configuration
3) What would make you comfortable shipping this (privacy/security, latency, pricing)
If you\u2019re building anything in voice AI/dictation, I\u2019d be happy to swap notes (david@speechos.ai)."},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"Show HN: SpeechOS \u2013 Wispr Flow-inspired voice input for any web app"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://www.speechos.ai/"}},"_tags":["story","author_gangster_dave","story_46707409","show_hn"],"author":"gangster_dave","children":[46708151,46712105],"created_at":"2026-01-21T15:52:15Z","created_at_i":1769010735,"num_comments":5,"objectID":"46707409","points":12,"story_id":46707409,"story_text":"Hi Hacker News! I\u2019m David Huie. I\u2019m launching SpeechOS, a drop-in voice input SDK for web apps.
I was inspired by Wispr Flow and wanted the same workflow inside business apps (CRMs, docs, forms, support tools), not just a standalone tool. It\u2019s saved me a massive amount of time vs typing.
How it works: add a couple lines of JS plus an API key, and SpeechOS shows a small mic widget on every text field.
Live demo: https://www.speechos.ai/
(Click a text box and the mic widget appears; click the gear icon to see settings, custom vocabulary, and snippet configuration.)
Users can:
- Dictate: speak naturally, real-time voice to polished text (punctuation, no filler/typos)
- Edit: say \u201cmake it shorter\u201d, \u201cfix grammar\u201d, \u201ctranslate...\u201d
- Command: define Siri-style app actions (for example, \u201csubmit form\u201d, \u201cmark complete\u201d), and we match intent to your commands
It also supports:
- Custom vocabulary: domain terms and names (product names, acronyms, jargon) so they transcribe correctly
- Text snippets: saved reusable blocks of text you can insert by voice (for example, \u201cmy signature\u201d, \u201cdisclaimer\u201d, \u201cmy address\u201d)
Why: text entry speed and accuracy still matter for productivity tools. A large-scale text entry dataset with 37,370 participants showed an average typing speed of 36.2 WPM and ~2.3% uncorrected errors. In speech research, speech recognition was about 3\u00d7 faster than keyboard input and had ~20.4% lower error rate for English text entry. (https://hci.stanford.edu/research/speech/)
SpeechOS is currently in beta and free for now. Sign up at https://app.speechos.ai/accounts/signup/ and enter this HN-only beta code: HN-JFc74cVC (please don\u2019t share outside HN).
Links:
SDK repo: https://github.com/speechos-org/speechos-client
Demo: https://www.speechos.ai/
Signup (code: HN-JFc74cVC): https://app.speechos.ai/accounts/signup/
I\u2019d love feedback on:
1) Where this is most valuable in your stack (notes? docs? CRM entry? support macros?)
2) What you\u2019d want from voice commands/snippets configuration
3) What would make you comfortable shipping this (privacy/security, latency, pricing)
If you\u2019re building anything in voice AI/dictation, I\u2019d be happy to swap notes (david@speechos.ai).","title":"Show HN: SpeechOS \u2013 Wispr Flow-inspired voice input for any web app","updated_at":"2026-03-05T23:22:30Z","url":"https://www.speechos.ai/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"tankots42"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"Hey HN! We're Tanay and Sahaj from the Wispr Flow team (https://flowvoice.ai). Today, we're officially launching Flow: a Mac dictation app that lets you speak naturally and writes in your style, in every application \u2014 with auto-edits, command mode, and over 100 languages.
Watch a quick 90 second demo here (feat. Steve Wozniak): https://www.loom.com/share/2fd33f10407947b08c6d688398d8679e
PS: Last week, Rahul Vohra from Superhuman called it "the best AI product I've used since ChatGPT ", and hearing it honestly made my day.
[The founding story]
Ever since I watched the first Ironman movie in 2008 at age 10, I've wanted to build Jarvis. It drove me to pull my first all-nighter and teach myself code.
16 years later, we've found a way to make a voice experience delightful for all-day use. And there's no one else I'd build this with than my college roommate and closest friend, Sahaj.
Our vision is to make voice interfaces useful (so you trust them) and ubiquitous (so you can use them everywhere). This is how we can move from screen-first to voice-first technologies and build a future where we aren't stuck looking at our phones all day.
[Using Flow is super simple]
- Download Flow for Mac (Apple Silicon only - others coming soon)
- Press and hold [Fn] to start speaking in any app
- Release [Fn] to enter text
[What users love Flow for]
- Developers using Cursor / Claude / ChatGPT: Speak with AI assistants faster than typing.
- Professionals breezing through their inbox: Flow accurately captures names and formats your emails and Slack messages.
- Students chatting with AI and finishing assignments even faster: We have a special student discount.
- Product Managers drafting PRDs and sharing thoughts: Flow turns your rambles into clear ideas.
- Parents with busy lives: Time is precious. Every second you save writing is an extra second you have for family.
- Tech-lovers who want to use voice with every AI tool
What makes Flow different is we designed our models for zero-edit messages - the metric that users really care about, instead of 'word error rates'. For comparison, Apple / Google dictation is <5% zero-edit messages (i.e., 95% of the messages, you have to correct at least one word). Flow today is 50-70% of the messages being zero-edit, based on the use case.
After six months of sleepless nights with our team, we had our first set of users who organically started using Flow more than their keyboards. Today, that's a large fraction of our users. Still, we have a long way to go, and we're just getting started.
Would love for you to try it out at https://flowvoice.ai (web playground and desktop app). You can keep using the free version (2000 word / week limit) or upgrade to the Pro version starting at $12 / mo (annually). For the HN community, use the HNLAUNCH promo to get 33% off (or 4 months free on the annual plan)
PS: A massive shoutout to our thousands of beta users who've showered us with love and feedback over the last few months. We wouldn't be here without you.
Our dream is to create a world where interacting with technology feels as natural as interacting with people. I'd love your help to make this a reality. We\u2019d love to hear your ideas and comments with voice intelligence! Bonus points if you write your comment with Flow ;)"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"Show HN: Wispr Flow \u2013 A new voice dictation experience"}},"_tags":["story","author_tankots42","story_41696153","show_hn"],"author":"tankots42","children":[41696404,41696569,41703968,41723057,41739333],"created_at":"2024-09-30T11:55:03Z","created_at_i":1727697303,"num_comments":4,"objectID":"41696153","points":10,"story_id":41696153,"story_text":"Hey HN! We're Tanay and Sahaj from the Wispr Flow team (https://flowvoice.ai). Today, we're officially launching Flow: a Mac dictation app that lets you speak naturally and writes in your style, in every application \u2014 with auto-edits, command mode, and over 100 languages.
Watch a quick 90 second demo here (feat. Steve Wozniak): https://www.loom.com/share/2fd33f10407947b08c6d688398d8679e
PS: Last week, Rahul Vohra from Superhuman called it "the best AI product I've used since ChatGPT ", and hearing it honestly made my day.
[The founding story]
Ever since I watched the first Ironman movie in 2008 at age 10, I've wanted to build Jarvis. It drove me to pull my first all-nighter and teach myself code.
16 years later, we've found a way to make a voice experience delightful for all-day use. And there's no one else I'd build this with than my college roommate and closest friend, Sahaj.
Our vision is to make voice interfaces useful (so you trust them) and ubiquitous (so you can use them everywhere). This is how we can move from screen-first to voice-first technologies and build a future where we aren't stuck looking at our phones all day.
[Using Flow is super simple]
- Download Flow for Mac (Apple Silicon only - others coming soon)
- Press and hold [Fn] to start speaking in any app
- Release [Fn] to enter text
[What users love Flow for]
- Developers using Cursor / Claude / ChatGPT: Speak with AI assistants faster than typing.
- Professionals breezing through their inbox: Flow accurately captures names and formats your emails and Slack messages.
- Students chatting with AI and finishing assignments even faster: We have a special student discount.
- Product Managers drafting PRDs and sharing thoughts: Flow turns your rambles into clear ideas.
- Parents with busy lives: Time is precious. Every second you save writing is an extra second you have for family.
- Tech-lovers who want to use voice with every AI tool
What makes Flow different is we designed our models for zero-edit messages - the metric that users really care about, instead of 'word error rates'. For comparison, Apple / Google dictation is <5% zero-edit messages (i.e., 95% of the messages, you have to correct at least one word). Flow today is 50-70% of the messages being zero-edit, based on the use case.
After six months of sleepless nights with our team, we had our first set of users who organically started using Flow more than their keyboards. Today, that's a large fraction of our users. Still, we have a long way to go, and we're just getting started.
Would love for you to try it out at https://flowvoice.ai (web playground and desktop app). You can keep using the free version (2000 word / week limit) or upgrade to the Pro version starting at $12 / mo (annually). For the HN community, use the HNLAUNCH promo to get 33% off (or 4 months free on the annual plan)
PS: A massive shoutout to our thousands of beta users who've showered us with love and feedback over the last few months. We wouldn't be here without you.
Our dream is to create a world where interacting with technology feels as natural as interacting with people. I'd love your help to make this a reality. We\u2019d love to hear your ideas and comments with voice intelligence! Bonus points if you write your comment with Flow ;)","title":"Show HN: Wispr Flow \u2013 A new voice dictation experience","updated_at":"2026-08-10T05:46:21Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"akshayaggarwal"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"Open-sourced Jarvis: free,local alternative to Wispr Flow(230 stars in 2 weeks)"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://github.com/akshayaggarwal99/jarvis-ai-assistant"}},"_tags":["story","author_akshayaggarwal","story_46342574"],"author":"akshayaggarwal","children":[46342575],"created_at":"2025-12-21T05:51:55Z","created_at_i":1766296315,"num_comments":0,"objectID":"46342574","points":7,"story_id":46342574,"title":"Open-sourced Jarvis: free,local alternative to Wispr Flow(230 stars in 2 weeks)","updated_at":"2026-03-05T23:15:32Z","url":"https://github.com/akshayaggarwal99/jarvis-ai-assistant"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"michalwarda"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"Show HN: QSpeak \u2013 An alternative for WisprFlow supporting local LLMs and Linux"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://qspeak.app"}},"_tags":["story","author_michalwarda","story_43996075","show_hn"],"author":"michalwarda","children":[43996076,43996118],"created_at":"2025-05-15T15:31:07Z","created_at_i":1747323067,"num_comments":3,"objectID":"43996075","points":6,"story_id":43996075,"title":"Show HN: QSpeak \u2013 An alternative for WisprFlow supporting local LLMs and Linux","updated_at":"2025-06-06T00:38:54Z","url":"https://qspeak.app"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"fireharp"},"story_text":{"matchLevel":"none","matchedWords":[],"value":"title doesn't let nuance, ofc it's not the app that's faster but the way you can use it with Groq inference for example."},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"Show HN: Free OSS transcription app I made and found it's faster than wispr flow"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://mumbli.app/"}},"_tags":["story","author_fireharp","story_48078497","show_hn"],"author":"fireharp","children":[48080694,48081499],"created_at":"2026-05-09T21:37:25Z","created_at_i":1778362645,"num_comments":2,"objectID":"48078497","points":6,"story_id":48078497,"story_text":"title doesn't let nuance, ofc it's not the app that's faster but the way you can use it with Groq inference for example.","title":"Show HN: Free OSS transcription app I made and found it's faster than wispr flow","updated_at":"2026-05-20T03:21:30Z","url":"https://mumbli.app/"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"josiahsrc"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"Hey HN, I'm Josiah. We love voice dictation, but wanted an open source version for transparency, privacy, and something that everyone could contribute to. So we built Voquill, an open source alternative to WisprFlow, Monologue, and Willow.
It lets you dictate into any desktop app. Press a hotkey, talk, text gets inserted. You can run Whisper locally, use our server, or wire up any provider you want (OpenAI, Claude, Groq, OpenRouter, whatever). You have full control over where your data goes.
Runs on Windows, macOS, and Linux. Open source, AGPLv3, built with Tauri and Rust. We're working on a mobile app too (Flutter).
To try it: Download from the repo or voquill.com. Click "local setup" on first launch. Hope you like it!"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"Show HN: Voquill - free, open source, cross-platform alternative to WisprFlow"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://github.com/josiahsrc/voquill"}},"_tags":["story","author_josiahsrc","story_47074495","show_hn"],"author":"josiahsrc","created_at":"2026-02-19T14:59:37Z","created_at_i":1771513177,"num_comments":0,"objectID":"47074495","points":6,"story_id":47074495,"story_text":"Hey HN, I'm Josiah. We love voice dictation, but wanted an open source version for transparency, privacy, and something that everyone could contribute to. So we built Voquill, an open source alternative to WisprFlow, Monologue, and Willow.
It lets you dictate into any desktop app. Press a hotkey, talk, text gets inserted. You can run Whisper locally, use our server, or wire up any provider you want (OpenAI, Claude, Groq, OpenRouter, whatever). You have full control over where your data goes.
Runs on Windows, macOS, and Linux. Open source, AGPLv3, built with Tauri and Rust. We're working on a mobile app too (Flutter).
To try it: Download from the repo or voquill.com. Click "local setup" on first launch. Hope you like it!","title":"Show HN: Voquill - free, open source, cross-platform alternative to WisprFlow","updated_at":"2026-03-05T23:35:45Z","url":"https://github.com/josiahsrc/voquill"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"graderjs"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"Show HN: WisprNote \u2013 MacOS App to Offline Transcribe your Voice Memos"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"https://apps.apple.com/us/app/wisprnote/id1671480366?mt=12"}},"_tags":["story","author_graderjs","story_34964301","show_hn"],"author":"graderjs","children":[34964306,35012289],"created_at":"2023-02-28T00:53:44Z","created_at_i":1677545624,"num_comments":4,"objectID":"34964301","points":5,"story_id":34964301,"title":"Show HN: WisprNote \u2013 MacOS App to Offline Transcribe your Voice Memos","updated_at":"2024-09-20T13:28:47Z","url":"https://apps.apple.com/us/app/wisprnote/id1671480366?mt=12"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"imaka"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"F*ck Wispr Flow \u2013 Open-sourcing Jarvis: private, local, free"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://github.com/akshayaggarwal99/jarvis-ai-assistant"}},"_tags":["story","author_imaka","story_46061659"],"author":"imaka","children":[46061660,46062086],"created_at":"2025-11-26T19:55:52Z","created_at_i":1764186952,"num_comments":2,"objectID":"46061659","points":5,"story_id":46061659,"title":"F*ck Wispr Flow \u2013 Open-sourcing Jarvis: private, local, free","updated_at":"2026-03-05T23:08:24Z","url":"https://github.com/akshayaggarwal99/jarvis-ai-assistant"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"Cveinnt"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"Wispr Flow Is Tracking Every App/URL You Visit and Taking Screenshots"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"https://wensenwu.com/thoughts/wispr-flow-investigation"}},"_tags":["story","author_Cveinnt","story_47781148"],"author":"Cveinnt","children":[47781591],"created_at":"2026-04-15T16:09:54Z","created_at_i":1776269394,"num_comments":1,"objectID":"47781148","points":5,"story_id":47781148,"title":"Wispr Flow Is Tracking Every App/URL You Visit and Taking Screenshots","updated_at":"2026-04-15T16:39:27Z","url":"https://wensenwu.com/thoughts/wispr-flow-investigation"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"speckx"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"WisprFlow Became the Highest-Leverage Upgrade to My Dev Workflow"},"url":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"https://zackproser.com/blog/wisprflow-high-leverage-workflow"}},"_tags":["story","author_speckx","story_45775874"],"author":"speckx","children":[45776745],"created_at":"2025-10-31T19:39:20Z","created_at_i":1761939560,"num_comments":1,"objectID":"45775874","points":5,"story_id":45775874,"title":"WisprFlow Became the Highest-Leverage Upgrade to My Dev Workflow","updated_at":"2026-03-05T22:59:28Z","url":"https://zackproser.com/blog/wisprflow-high-leverage-workflow"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"_mrinalwadhwa_"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"Hi HN!
Voice is fast-becoming my primary interface to computers and AI. I built FreeFlow because I wanted a Wispr Flow-like experience for our entire team, but customizable and private.
Press a hotkey, dictate naturally, polished text appears in any app. Ramble, use filler words, correct yourself mid-sentence. FreeFlow turns messy speech into clean writing and injects it wherever your cursor is: your messaging app, your editor, your coding agent, the terminal, email, anything.
Demo (sound on): https://github.com/build-trust/freeflow#demo-sound-on-
It's really fast. The injection feels instantaneous. In my benchmarks two thirds of dictations finish in under 0.6 seconds. To get that speed, the app streams audio to your private server over a persistent WebSocket while you speak, and a realtime speech-to-text model transcribes incrementally, so by the time you release the key the transcript is mostly done. Two independent WebSocket connections race each other, and if both fail, an HTTP batch fallback catches it. The transcript goes through a post-processing step that removes filler words and fixes grammar. About 40% of dictations are clean enough to skip this step entirely. When post-processing is needed, a fast model handles it in about 0.4 seconds.
It's designed to be taken apart and reassembled. You can swap the speech model, rewrite the prompts, add new languages, or fork the entire experience to fit how your team works. I'm hoping people will morph it into other products.
The FreeFlow service is open source. You can self-host it, but running a low-latency streaming dictation service for a team is real infrastructure work: persistent WebSocket connections, streaming routes to speech models, failover, rate limits. At a company with fifty or five hundred people, keeping that reliable is a job in itself. FreeFlow uses Autonomy to make this easy. On first launch, the macOS app deploys the service to a private server. Two minutes, no infrastructure knowledge needed. You can then invite your team. One server handles everyone, no per-seat fees. It sustains thousands of simultaneous streaming connections. In a stress test, 50 people dictating at the same time got sub-second latency with zero failures.
brew install build-trust/freeflow/freeflow\nTry it, tell me how it works with your mic and your apps. What's fast, what's slow, what's broken.
GitHub: https://github.com/build-trust/freeflow"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"Show HN: FreeFlow \u2013 Open-Source Wispr Flow"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://github.com/build-trust/freeflow"}},"_tags":["story","author__mrinalwadhwa_","story_47411467","show_hn"],"author":"_mrinalwadhwa_","children":[47411877,47447999],"created_at":"2026-03-17T12:00:22Z","created_at_i":1773748822,"num_comments":4,"objectID":"47411467","points":4,"story_id":47411467,"story_text":"Hi HN!
Voice is fast-becoming my primary interface to computers and AI. I built FreeFlow because I wanted a Wispr Flow-like experience for our entire team, but customizable and private.
Press a hotkey, dictate naturally, polished text appears in any app. Ramble, use filler words, correct yourself mid-sentence. FreeFlow turns messy speech into clean writing and injects it wherever your cursor is: your messaging app, your editor, your coding agent, the terminal, email, anything.
Demo (sound on): https://github.com/build-trust/freeflow#demo-sound-on-
It's really fast. The injection feels instantaneous. In my benchmarks two thirds of dictations finish in under 0.6 seconds. To get that speed, the app streams audio to your private server over a persistent WebSocket while you speak, and a realtime speech-to-text model transcribes incrementally, so by the time you release the key the transcript is mostly done. Two independent WebSocket connections race each other, and if both fail, an HTTP batch fallback catches it. The transcript goes through a post-processing step that removes filler words and fixes grammar. About 40% of dictations are clean enough to skip this step entirely. When post-processing is needed, a fast model handles it in about 0.4 seconds.
It's designed to be taken apart and reassembled. You can swap the speech model, rewrite the prompts, add new languages, or fork the entire experience to fit how your team works. I'm hoping people will morph it into other products.
The FreeFlow service is open source. You can self-host it, but running a low-latency streaming dictation service for a team is real infrastructure work: persistent WebSocket connections, streaming routes to speech models, failover, rate limits. At a company with fifty or five hundred people, keeping that reliable is a job in itself. FreeFlow uses Autonomy to make this easy. On first launch, the macOS app deploys the service to a private server. Two minutes, no infrastructure knowledge needed. You can then invite your team. One server handles everyone, no per-seat fees. It sustains thousands of simultaneous streaming connections. In a stress test, 50 people dictating at the same time got sub-second latency with zero failures.
brew install build-trust/freeflow/freeflow\nTry it, tell me how it works with your mic and your apps. What's fast, what's slow, what's broken.
GitHub: https://github.com/build-trust/freeflow","title":"Show HN: FreeFlow \u2013 Open-Source Wispr Flow","updated_at":"2026-03-23T00:41:52Z","url":"https://github.com/build-trust/freeflow"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"josiahsrc"},"story_text":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"Hey HN! We love voice dictation, but wanted an open source version for transparency, privacy, and something that everyone could contribute to. So we built Voquill, an open source alternative to WisprFlow, Monologue, and SuperWhisper.
It lets you dictate into any desktop app. Press a hotkey, talk, text gets inserted. You can run Whisper locally, use our server, or wire up any provider you want (OpenAI, Claude, Groq, OpenRouter, whatever). You have full control over where your data goes.
Runs on Windows, MacOS, and Linux. Open source, AGPLv3, built with Tauri and Rust. We're working on a mobile app too (Flutter) that's currently in beta for iOS and android.
To try it: Download from the repo or voquill.com. Click "local setup" on first launch. Hope you like it!"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["wispr"],"value":"Show HN: Voquill, an open source and cross-platform alternative to wisprflow"},"url":{"matchLevel":"none","matchedWords":[],"value":"https://github.com/josiahsrc/voquill"}},"_tags":["story","author_josiahsrc","story_47236677","show_hn"],"author":"josiahsrc","children":[47237277],"created_at":"2026-03-03T18:33:28Z","created_at_i":1772562808,"num_comments":1,"objectID":"47236677","points":4,"story_id":47236677,"story_text":"Hey HN! We love voice dictation, but wanted an open source version for transparency, privacy, and something that everyone could contribute to. So we built Voquill, an open source alternative to WisprFlow, Monologue, and SuperWhisper.
It lets you dictate into any desktop app. Press a hotkey, talk, text gets inserted. You can run Whisper locally, use our server, or wire up any provider you want (OpenAI, Claude, Groq, OpenRouter, whatever). You have full control over where your data goes.
Runs on Windows, MacOS, and Linux. Open source, AGPLv3, built with Tauri and Rust. We're working on a mobile app too (Flutter) that's currently in beta for iOS and android.
To try it: Download from the repo or voquill.com. Click "local setup" on first launch. 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Testflight link:
https://testflight.apple.com/join/e5pcxwyq
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Testflight link:
https://testflight.apple.com/join/e5pcxwyq
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