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I built a voice keyboard for Android that adapts to whats on the screen

I built a voice keyboard for Android that adapts to whats on the screen

by mansehej·Feb 12, 2026·1 point·0 comments

AI Analysis

MidBold Bet

Voice keyboard with context awareness, but Gboard's voice typing and Otter already solve this well.

Strengths
  • On-screen context integration: Reading UI surroundings to improve relevance is a clever angle—most voice apps ignore context.
  • Mid-sentence correction handling: "Could you get coffee... sorry, tea" → catching in-place corrections is genuinely better UX than fix-later workflows.
  • Privacy-conscious optional accessibility: Accessibility Service for context is optional, not mandatory—respects user control.
Weaknesses
  • Crowded market with entrenched players: Gboard (1B+ installs), Otter, Dragon Mobile all offer voice + correction.
  • Minimal adoption signal: 100+ downloads, rated for 3+, no user reviews—unproven product-market fit.
Category
Target Audience

Android users, mobile-first writers, people with accessibility or mobility needs

Similar To

Google Gboard · Otter.ai · Google Docs Voice Typing

Post Description

I built Tapfree because I always felt mobile typing feels stuck in the past. When I'm moving fast, my ideas don’t arrive as perfect sentences. They come as fragments, quick reactions, and rough thoughts I need to shape into something coherent.

Most keyboards and dictation tools don’t help much. They transcribe words literally, miss context, butcher names, and leave me fixing formatting by hand. Writing an email, a chat reply, or a document all need very different handling.

What makes Tapfree different is how it understands context. Tapfree uses on-screen context (the text field and surrounding UI), not just the app you’re in, to produce cleaner, more relevant dictation.

It also handles the way people actually talk. You say "Could you get some coffee... sorry, tea on the way back?" and Tapfree writes: "Could you get some tea on the way back?". It catches your corrections mid-sentence so you don't have to go back and fix them.

If you give it a try, I’d love specific feedback: - Which app or scenario felt noticeably better (or worse) than usual dictation? - Any "wow" moments with the context understanding? - What would make it even more useful for you?

I would love all kinds of feedback, as this is very much a side project and I’m still shaping it.

Similar Projects

Awesome Voice Typing

Comprehensive list, but static curation—dozens similar repos exist on GitHub.

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102mo ago