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Rewrite Text – On-Device AI Writing Tool for iOS

Rewrite Text – On-Device AI Writing Tool for iOS

by 8mobile·Feb 26, 2026·1 point·0 comments

AI Analysis

●●SolidZero to OneShip It

On-device writing AI via Apple Intelligence avoids cloud costs, but competitors already run offline.

Strengths
  • Apple Foundation Models eliminate backend/API costs entirely—genuine econ advantage for users.
  • Works as iOS share extension across Mail, Safari, Notes—seamless friction-free UX.
  • One-time unlock model sidesteps subscription fatigue, aligns incentives with user value.
Weaknesses
  • Limited to iOS 18+ devices with Apple Silicon—excludes older phones and non-Apple platforms.
  • Writing rewrite/summarize is competitive; Reeder AI, Quill, and local LLM apps already exist.
Category
Target Audience

iOS users wanting privacy-first AI writing assistance without subscriptions

Similar To

Quill · Reeder AI · Writing.com

Post Description

Hi HN,

I built a small iOS app that performs text rewriting and summarization entirely on-device using Apple’s Foundation Models (iOS 18+).

Most AI writing tools rely on cloud APIs. That introduces API costs, privacy concerns, and infrastructure overhead. I wanted to explore what it looks like to build a useful AI writing utility with:

- no backend - no external APIs - no server costs - fully offline support

The app can rewrite text in different tones, generate summaries, extract key points, and produce short post-ready output. Everything runs locally on supported devices.

Why I built it

I was curious whether on-device language models are “good enough” for everyday writing tasks like cleaning up emails, summarizing articles, or restructuring notes.

I also wanted to test a different economics model: since inference runs locally, marginal cost per user is essentially zero. That allowed me to avoid subscriptions and instead use a simple free tier with an optional one-time unlock.

Technical notes

- SwiftUI main app - Share Extension for system-wide text processing - Apple FoundationModels for local inference - No networking layer

Some interesting constraints compared to cloud LLMs: - Smaller context window - More sensitive prompt design - Device-dependent performance - Latency perception is critical in extensions

On-device models are obviously less capable than large cloud models, but for constrained rewriting tasks they are surprisingly usable.

If anyone is experimenting with FoundationModels or on-device inference, I’d be curious how you’re handling prompt structure and long input segmentation.

App Store link: https://apps.apple.com/us/app/rewrite-text-ai-writing-tool/i...

Happy to answer technical questions.

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