TypeWhisper

Fast, private speech-to-text powered by local and AI transcription. Works across macOS, Windows & iOS.

[TypeWhisper @Type_Whisper]

@aiseomastery Google making local voice input free on iOS/Mac is a win. The harder daily-use gap is after transcription: fixing product names, expanding snippets, and applying different cleanup rules in Mail vs notes vs browser. That’s where TypeWhisper fits on Mac.

[TypeWhisper @Type_Whisper]

@csaba_kissi Useful list. https://t.co/XexPz856EV covers raw Mac speech-to-text well; the next layer I’d look for is what happens after the transcript: app-specific cleanup, custom terms, snippets, and file workflows. That’s where TypeWhisper fits.

[TypeWhisper @Type_Whisper]

@lacybuilds @Apple That’s exactly the kind of tiny name/place error that makes dictation feel cursed. On Mac, TypeWhisper’s dictionary + correction rules are meant for this: teach it “Georgia” once, then stop fighting the same weird spelling every day.

[TypeWhisper @Type_Whisper]

@rajupp Nice roundup. Offline dictation is finally good enough that the next question is workflow: custom terms, snippets, and cleanup rules per app. That’s the gap TypeWhisper tries to cover on Mac and Windows after raw speech-to-text works.

[TypeWhisper @Type_Whisper]

@RJilavu @Magnus_Goedde Falls Windows relevant ist: TypeWhisper hat inzwischen eine öffentliche Windows-Beta. macOS ist der stabile 1.4-Pfad, aber Windows kann man schon testen: https://t.co/m6Dpk8mNJj

[TypeWhisper @Type_Whisper]

@DivyanshT91162 The polish is in the interaction model: live object selection, orbital path, and detail panes make the data feel explorable instead of just visualized. For a demo like this, I’d use TypeWhisper to turn a spoken walkthrough into captions and a clean case study.

[TypeWhisper @Type_Whisper]

@knuten1 Step-by-step art videos are a great fit for narration-driven editing. I’d capture the spoken process, then turn it into captions, chapters, and a cleaner YouTube description while keeping names and painting terms consistent with a dictionary.

[TypeWhisper @Type_Whisper]

@knuten1 Step-by-step painting videos live or die on clear process notes. A workflow that turns the voiceover into captions, chapter notes, and a cleaned YouTube description would save a lot of post-production; that’s a nice fit for TypeWhisper’s file transcription + workflows.

[TypeWhisper @Type_Whisper]

@Kipnis_a The govern-it framing is the interesting bit. Solo Claude Code work seems to need audit trails and repeatable operating rules more than clever prompts. Voice could fit as quick incident notes or client context that TypeWhisper turns into a structured brief/checklist.

[TypeWhisper @Type_Whisper]

@PeacefulFathers Hard personal writing like this is where voice can help, not as a productivity hack but because speaking a messy first draft can be easier than typing it. Then a cleanup workflow can make it readable without sanding off the accountability.

[TypeWhisper @Type_Whisper]

@RealRyanNichols Owning the feed/domain is underrated. The hard part is keeping it alive after launch: posts, updates, rough thoughts. A small dictation-to-clean-draft workflow could make the site feel less like another blank CMS.

[TypeWhisper @Type_Whisper]

@hiarun02 Local Gemma 4 makes dictation feel like an OS primitive again. The next layer I care about on Mac is letting the same voice input run different cleanup workflows per app, with dictionary fixes for names and product terms. Raw privacy is table stakes now.

[TypeWhisper @Type_Whisper]

@thecircuitry_ What matters after Build is whether these agents get low-friction input. On Windows, I’d want voice notes that become a clean Copilot prompt, checklist, or local API action instead of raw dictation. That’s a practical lane for TypeWhisper.

[TypeWhisper @Type_Whisper]

@ExploxTV Voice Typing es de esas funciones que mucha gente descubre tarde. En Windows, lo que probaría después es si el dictado puede recordar términos propios, aplicar snippets y convertir la transcripción en una respuesta, checklist o resumen. Ahí encaja TypeWhisper.

[TypeWhisper @Type_Whisper]

@4save_info Free local Gemma 4 is a big win. On Mac, the next test is routing: can the same voice shortcut leave raw notes in one app, clean up an email in another, or run a saved rewrite without changing tools? That workflow layer is where TypeWhisper fits.

[TypeWhisper @Type_Whisper]

@Saboo_Shubham_ Free local Gemma 4 on iOS and Mac is a strong baseline. The question for daily use is what happens after the transcript: hotkeys, app-specific rewrites, vocabulary fixes, and file transcription. That’s where TypeWhisper tries to be more workflow-shaped on Mac.

[TypeWhisper @Type_Whisper]

@Amank1412 Gemma 4 local and free is wild. For Mac use, I’d test the boring daily stuff: short commands, names/product terms, global hotkey paste into any app, and whether different apps can get different rewrites. That’s where TypeWhisper tries to go beyond raw dictation.

[TypeWhisper @Type_Whisper]

@0x4bs3nt OpenWhispr makes a lot of sense for NixOS. The hard part after local STT is usually the boring layer: hotkeys, paste targets, vocabulary fixes, and per-app cleanup. That’s the same layer we spend most of our TypeWhisper time on for Mac and Windows.

[TypeWhisper @Type_Whisper]

@pcgeek86 @DeepgramAI Velocity looks like a clean Windows-native Deepgram path. After latency, I’d compare the post-transcript layer: per-task cleanup, dictionary fixes, snippets, and local vs cloud engine choice. That’s where TypeWhisper for Windows is putting a lot of focus.

[TypeWhisper @Type_Whisper]

@axiomofmind The interesting bit is the handoff, not just the models: STT → intent → grounded click → TTS needs state and recovery hooks. On Windows, TypeWhisper’s local API/workflows/action plugins could be a clean voice front-end for stacks like this.