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Dev tools · February 17, 2026

TypeWhisper - Free local speech-to-text

Hey HN, I'm Marco, the creator of TypeWhisper. TypeWhisper is a free, open-source speech-to-text app for macOS and Windows. Everything runs locally on your machine - no cloud, no telemetry, no data collection. Your voice never leaves your device. What makes it different: - Multiple engines, your choice: On macOS: WhisperKit, Parakeet TDT, Apple SpeechAnalyzer. On Windows: Parakeet TDT, Canary 180M Flash. All run on CPU, no GPU needed. You can also plug in cloud APIs (OpenAI, Groq, Deepgram) if you prefer. - Context-aware profiles: Set per-app and per-website overrides for language, engine,…

TypeWhisper - Free local speech-to-text launched on February 17, 2026 with 6 votes, #1,572 of 16,627 launches that month and more than 75% of that year's launches.

Visit typewhisper.com ↗Alternativestop 9% of February 2026

What it does

Tired of subscription fees for dictation software that sends your voice to the cloud? TypeWhisper is the free, open-source alternative that runs entirely on macOS and Windows – no internet required, no monthly costs.

TypeWhisper connects private speech-to-text with system-wide dictation, files, workflows, and automation. macOS 1.6, Windows 1.0.9, and iOS 1.0 are stable.

In the maker’s words, at launch

Hey HN, I'm Marco, the creator of TypeWhisper. TypeWhisper is a free, open-source speech-to-text app for macOS and Windows. Everything runs locally on your machine - no cloud, no telemetry, no data collection. Your voice never leaves your device. What makes it different: - Multiple engines, your choice: On macOS…

Pricing, as stated on its site

Free tier, paid plans from $5.42/mo — Free open-source GPLv3 license for core dictation features. Commercial licenses start from €5/month (Individual), €19/month (Team), or €99/month (Enterprise) for premium sync, learning from correction

checked October 2026 · prices change

Does a similar job

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    Hello everyone. This is Yujong from the Hyprnote team (https://github.com/fastrepl/hyprnote). We built OWhisper for 2 reasons: (Also outlined in https://docs.hyprnote.com/owhisper/what-is-this) (1). While working with on-device, realtime speech-to-text, we found there isn't tooling that exists to download / run the model in a practical way. (2). Also, we got frequent requests to provide a way to plug in custom STT endpoints to the Hyprnote desktop app, just like doing it with OpenAI-compatible LLM endpoints. The (2) part is still kind of WIP, but…

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