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About SlashHanzi - Learn Chinese

Grow your Chinese vocabulary—then actually use it. SlashHanzi is built around learning Chinese words, with full HSK vocabulary coverage. Study structured decks with a personalized plan, and get rich detail for every word: pinyin, meaning, example sentences, and native audio. Then comes the part that makes words stick. SlashHanzi looks at what you've been learning and drops you into real-life scenarios—ordering food, taking a taxi, a visit to the doctor—for immersive conversations with an AI partner, entirely in Chinese. Ruby pinyin sits above every character, and suggested replies keep you moving whenever you're unsure. FEATURES • HSK vocabulary decks — organized by level, with a study plan that adapts to your pace. • Per-word detail — pinyin, meaning, example sentences, and audio for every word. • Pinyin tone drills — train your ear and mouth on the four tones. • Immersive AI conversations — practice the exact words you've learned in realistic everyday scenarios. • Always-on pinyin & suggested replies — never get stuck mid-conversation. • Daily reminders — set a study time and keep your streak going. From your first HSK word to holding a real conversation, SlashHanzi connects study and speaking.

What’s new

Version 1.1.0 · Updated August 24, 2026

- Refreshed answer sounds, plus a new streak sound and haptics. - New share posters and captions at the end of each study session. - Introducing badges — earn and collect them as you learn. - Various bug fixes and improvements.

App privacy

The developer, Cumulus Labs Limited, reported these privacy practices to Apple.

Data Linked to You

The following data, which may be collected and linked to your identity, may be used for the following purposes:

  • Contact Info: Email Address, Name
  • User Content: Other User Content
  • Identifiers: User ID

Used for: App Functionality

Data Not Linked to You

The following data, which may be collected but is not linked to your identity, may be used for the following purposes:

  • Identifiers: Device ID
  • User Content: Audio Data

Used for: Analytics, App Functionality

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