THtheturtletalks·Jul 15, 2026Submission
TypeWhisper – open-source dictation and workflows for macOS and Windows
2 points · Open discussionTypeWhisper
typewhisper-mac
Swift2026–2026
TypeWhisper / typewhisper-mac
typewhisper-mac
Local speech-to-text for macOS on-device AI, fully private, optional cloud
3Distinct people
4Mentions
0Explicit recommenders
1.9KGitHub stars
What to know before exploring
What it is
Local speech-to-text for macOS on-device AI, fully private, optional cloud
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by week4 dated mentions
Observed mentions: 2026-03-12 22:11:07 UTC to 2026-07-15 06:17:13 UTC. Weeks start Monday, UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Mar 9 | 2026-03-09 00:00:00 UTC | 2026-03-16 00:00:00 UTC | 1 | 1 | 0 |
| Mar 16 | 2026-03-16 00:00:00 UTC | 2026-03-23 00:00:00 UTC | 0 | 0 | 0 |
| Mar 23 | 2026-03-23 00:00:00 UTC | 2026-03-30 00:00:00 UTC | 0 | 0 | 0 |
| Mar 30 | 2026-03-30 00:00:00 UTC | 2026-04-06 00:00:00 UTC | 0 | 0 | 0 |
| Apr 6 | 2026-04-06 00:00:00 UTC | 2026-04-13 00:00:00 UTC | 0 | 0 | 0 |
| Apr 13 | 2026-04-13 00:00:00 UTC | 2026-04-20 00:00:00 UTC | 0 | 0 | 0 |
| Apr 20 | 2026-04-20 00:00:00 UTC | 2026-04-27 00:00:00 UTC | 0 | 0 | 0 |
| Apr 27 | 2026-04-27 00:00:00 UTC | 2026-05-04 00:00:00 UTC | 0 | 0 | 0 |
| May 4 | 2026-05-04 00:00:00 UTC | 2026-05-11 00:00:00 UTC | 1 | 1 | 0 |
| May 11 | 2026-05-11 00:00:00 UTC | 2026-05-18 00:00:00 UTC | 0 | 0 | 0 |
| May 18 | 2026-05-18 00:00:00 UTC | 2026-05-25 00:00:00 UTC | 0 | 0 | 0 |
| May 25 | 2026-05-25 00:00:00 UTC | 2026-06-01 00:00:00 UTC | 0 | 0 | 0 |
| Jun 1 | 2026-06-01 00:00:00 UTC | 2026-06-08 00:00:00 UTC | 0 | 0 | 0 |
| Jun 8 | 2026-06-08 00:00:00 UTC | 2026-06-15 00:00:00 UTC | 0 | 0 | 0 |
| Jun 15 | 2026-06-15 00:00:00 UTC | 2026-06-22 00:00:00 UTC | 0 | 0 | 0 |
| Jun 22 | 2026-06-22 00:00:00 UTC | 2026-06-29 00:00:00 UTC | 0 | 0 | 0 |
| Jun 29 | 2026-06-29 00:00:00 UTC | 2026-07-06 00:00:00 UTC | 1 | 1 | 0 |
| Jul 6 | 2026-07-06 00:00:00 UTC | 2026-07-13 00:00:00 UTC | 0 | 0 | 0 |
| Jul 13 | 2026-07-13 00:00:00 UTC | 2026-07-20 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
4 sourcesShow HN: TypeWhisper 1.5 – open-source dictation and workflows for macOS
Hi HN,
I built TypeWhisper, an open-source dictation and AI text-processing app for macOS.
The basic idea is: press a hotkey, speak, get text inserted into the current app. Under the hood it is not tied to one transcription backend. You can use local models, cloud APIs, or a mix of both, and then run the result through Workflows that match by app, website, hotkey, or fallback context.
I just released TypeWhisper 1.5.0. This release is less about one big flashy feature and more about making dictation behave correctly in real Mac apps.
The main changes:
- app-aware insertion: better spacing, sentence position handling, terminal paste behavior, rich-text targets, and target-app context
- stronger local-model controls: MLX memory-footprint settings, idle auto-unload, lazy restore after unload, and Gemma 4 download recovery
- broader provider/
Read the rest
plugin coverage: updates across Gemini speech transcription, OpenRouter STT, Mistral AI, Soniox, OpenAI-compatible profiles, cloud ASR providers, and others
- dictionary learning: auto-learned corrections are surfaced, target-app correction learning is tighter, and dictionary stability improved
- reliability fixes around push-to-talk, Hybrid hotkeys, fullscreen indicators, compressed M4A uploads, FaceTime microphone capture, and workflow output behavior
A few technical details that may matter here:
- macOS 14+ required
- local engines are available, but cloud providers are optional if you want them
- local prompt processing is Gemma 4 via MLX on Apple Silicon, currently limited to the verified E2B/E4B 4-bit variants
- WhisperKit supports live preview while speaking, but final insertion still happens after recording stops; I do not try to promise true character-by-character inline insertion into every Mac app
- there is a loopback-only local HTTP API and CLI for automation
- licensed under GPLv3, with commercial licenses for non-GPL/proprietary use
Project:
https://github.com/TypeWhisper/typewhisper-mac
Release notes:
https://github.com/TypeWhisper/typewhisper-mac/releases/tag/...
Happy to answer technical questions, especially around macOS text insertion, local model handling, or the workflow/plugin architecture.
Typewhisper: Local speech-to-text on-device AI, private, optional cloud
2 points · Open discussionShow HN: TypeWhisper – speech-to-text with multiple engines, profiles
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, and AI prompts. TypeWhisper detects which app you're in and adapts automatically.
- AI text processing: Built-in prompts for rewriting, translation (20 languages), summarization. Works with on-device Apple Intelligence or cloud LLMs.
- Plugin system: Bu
Read the rest
ild custom transcription engines, LLM providers, post-processors, or action plugins with the Swift SDK (macOS) or .NET SDK (Windows). Community plugin catalog included.
- File transcription: Drag-and-drop audio/video files, export as SRT/WebVTT subtitles.
- Local HTTP API: Automate everything via REST endpoints.
Windows users: v0.3.3 just shipped with real-time WebSocket streaming, Fluent Design UI, three dictation modes (toggle, hold, hybrid), audio ducking, and whisper mode for quiet environments. CPU-only inference, runs on x64 and ARM64.
Download:
- macOS: brew install --cask typewhisper/tap/typewhisper or https://github.com/TypeWhisper/typewhisper-mac/releases
- Windows: https://github.com/TypeWhisper/typewhisper-win/releases
Website: https://www.typewhisper.com | Discord: https://discord.gg/pUFR4a65SD
Happy to answer any questions!