ReadTrace Pro

생산성

무료 · iPad⁠용으로 디자인됨 · macOS⁠용으로는 확인되지 않음

A quiet, serif-first read-later app for people who treat long-form articles like books. — Save anything from the web — Tap "share" in Safari, or paste a URL inside the app. ReadTrace pulls out the body and images, strips the chrome, and saves a clean copy to your private library. Once it's saved, the network can vanish. Articles, images, and fonts are cached for fully offline reading. — Read on cream paper — Every article renders in Fraunces — a warm contemporary serif — over a soft cream background that's easier on the eyes than stark white. No ads, no related stories, no tap-to-load-more. The reader remembers your scroll position so you can return weeks later and pick up exactly where you left off. — Organize favorites with collections — Drop favorites into custom buckets — "Work", "Travel", "Things to write about someday". Each collection is its own shelf inside the Favorites tab. Tap a chip to narrow the library; tap it again to clear. — Search what you remember, not what you typed — Built-in semantic search uses Apple's on-device language embeddings to understand intent. Search "AI startups" and find articles about Vibe Coding training camps — no exact keyword required. Combined with literal substring matching across titles, authors, hostnames and tags, you'll find anything you've read. — Auto-tagging via on-device NLP — Every saved article is read once by Apple's NaturalLanguage framework and labeled with 3–5 keyword tags. As your library grows from ten articles to a thousand, tags keep it browsable. — Reading time, done right — Counts Chinese characters and Latin words separately at native reading speeds, so a long bilingual article gets an honest minute estimate instead of an English formula glued onto Chinese prose. — A safety net for what you save — Deleted articles don't vanish. They sit in the Recycle Bin for 30 days, then quietly clear themselves out. Restore anything with one tap — no second-guessing your gestures. — iCloud backup — A single backup file holds every article and every cached image. Restore on a new phone in seconds — fully offline-restorable, no servers to depend on. — Built for privacy — No accounts. No analytics. No tracking pixels. Your reading is between you and your phone. iCloud Drive is the only network endpoint we touch, and only if you choose to back up. — Built for iOS — Safari Share Extension. App Intents. Dynamic Type-aware reader. SwiftData persistence. Light-only by design — the cream palette is the point. — Quietly made — ReadTrace Pro is small. One developer, one design system, one belief: the web is full of writing worth reading carefully, and that writing deserves a calm, paper-feeling home you can return to. For people who want a smaller, quieter library — not an algorithmic feed.

  • 이 앱은 개요를 표시할 만큼 충분한 리뷰 또는 평가를 받지 않았습니다.

- Added status-bar mask: A new 64pt cream-to-clear gradient mask via `RTStatusBarMask` is overlaid on LibraryView and SettingsView, providing an opaque cream background for time and battery indicators with a soft fade at the top edge. - Tap active tab to scroll to top: `CreamTabBar` now supports an `onReselect` callback. Tapping the currently active tab will smoothly scroll the library list to the top. - Sticky article title: The article title now automatically shows/hides as you scroll (visible above 120pt, hidden below 90pt). Tap the title to quickly scroll to the top of the article. - Improved long title display: Article titles are masked with a linear gradient that fades the right 14% to clear, ensuring long titles blend elegantly into the navigation bar.

熵析云枢网络科技 개발자가 아래 설명된 데이터 처리 방식이 앱의 개인정보 처리방침에 포함되어 있을 수 있다고 표시했습니다. 자세한 내용은 개발자의 개인정보 처리방침 을 참조하십시오.

  • 데이터가 수집되지 않음

    개발자가 이 앱에서 데이터를 수집하지 않습니다.

    개인정보 처리방침은 사용하는 기능이나 사용자의 나이 등에 따라 달라질 수 있습니다. 더 알⁠아⁠보⁠기

    개발자가 이 앱이 지원하는 손쉬운 사용 기능을 아직 등록하지 않았습니다. 더 알아보기

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    • Yibin Entropy Analysis Cloud Hub Network Technology Co., Ltd
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    • 2.1 MB
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    • 생산성
    호환성
    iOS 17.0 이상 필요
    • iPhone
      iOS 17.0 이상 필요
    • iPad
      iPadOS 17.0 이상 필요
    • Mac
      macOS 14.0 이상 및 Apple M1 칩 이상이 탑재된 Mac이 필요
    • Apple Vision
      visionOS 1.0 이상 필요
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