GitHub – zachlatta/freeflow: Free and open source alternative to Wispr Flow / Superwhisper / Monologue / etc Skip to content You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert zachlatta / freeflow Public Notifications You must be signed in to change notification settings Fork 1 Star 84 Free and open source alternative to Wispr Flow / Superwhisper / Monologue / etc License MIT license 84 stars 1 fork Branches Tags Activity Star Notifications You must be signed in to change notification settings zachlatta/freeflow main Branches Tags Go to file Code Open more actions menu Folders and files Name Name Last commit message Last commit date Latest commit History 54 Commits 54 Commits .github/ workflows .github/ workflows Resources Resources Sources Sources .gitignore .gitignore FreeFlow.entitlements FreeFlow.entitlements Info.plist Info.plist LICENSE LICENSE Makefile Makefile README.md README.md View all files Repository files navigation FreeFlow Free and open source alternative to Wispr Flow , Superwhisper , and Monologue . ⬇ Download FreeFlow.dmg Works on all Macs (Apple Silicon + Intel) I like the concept of apps like Wispr Flow , Superwhisper , and Monologue that use AI to add accurate and easy-to-use transcription to your computer, but they all charge fees of ~$10/month when the underlying AI models are free to use or cost pennies. So over the weekend I vibe-coded my own free version! It’s called FreeFlow. Here’s how it works: Download the app from above or click here Get a free Groq API key from groq.com Press and hold Fn anytime to start recording and have whatever you say pasted into the current text field One of the cool features is that it’s context aware. If you’re replying to an email, it’ll read the names of the people you’re replying to and make sure to spell their names correctly. Same with if you’re dictating into a terminal or another app. This is the same thing as Monologue’s “Deep Context” feature. An added bonus is that there’s no FreeFlow server, so no data is stored or retained – making it more privacy friendly than the SaaS apps. The only information that leaves your computer are the API calls to Groq’s transcription and LLM API (LLM is for post-processing the transcription to adapt to context). FAQ Why does this use Groq instead of a local transcription model? I love this idea, and originally planned to build FreeFlow using local models, but to have post-processing (that’s where you get correctly spelled names when replying to emails / etc), you need to have a local LLM too. If you do that, the total pipeline takes too long for the UX to be good (5-10 seconds per transcription instead of <1s). I also had concerns around battery life. Some day! License Licensed under the MIT license. About Free and open source alternative to Wispr Flow / Superwh

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