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  • 千家诗 - 唐宋诗词学习 screenshot 1
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About 千家诗 - 唐宋诗词学习

One poem a day. 226 Tang and Song dynasty masterpieces. Systematically train your poetry appreciation and memorization. Qianjia Shi brings together 226 classic poems by Du Fu, Li Bai, Su Shi, Li Qingzhao, and other great poets. Each poem features professional audio recitation, stroke-by-stroke character guides, historical background, and memorization exercises — a complete daily training system for classical poetry. Core features: • Daily poem with full audio recitation • Character guides and annotation tools • Historical and literary context for each poem • Memorization practice with spaced repetition • Progress tracking across all 226 poems Perfect for students, poetry enthusiasts, and anyone who wants to build a genuine appreciation for classical Chinese poetry through consistent daily practice.

What’s new

Version 2.0.1 · Updated October 1, 2026

This version turns reading into practice: • Recitation check — say the poem aloud and it is scored against the text, word by word • Write from memory — three to six characters are removed and put back from a tray (Chinese interface) • Poetry quiz — ten questions on the missing word, the poet and the poem, on a timer, graded from Kindergarten to Doctorate • Home-screen widget — a different poem each day • Reading progress — how far through the 226 poems, broken down by form • Daily reminder — one local notification at a time you choose • iPad layout rebuilt: the essential-poems section is now a grid that fills the screen

App privacy

The developer, zhenyu song, reported these privacy practices to Apple.

Data Used to Track You

The following data may be used to track you across apps and websites owned by other companies:

  • Location: Coarse Location
  • Identifiers: Device ID
  • Usage Data: Product Interaction, Advertising Data

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:

  • Location: Coarse Location
  • Identifiers: Device ID
  • Usage Data: Product Interaction, Advertising Data
  • Diagnostics: Crash Data, Performance Data

Used for: Third-Party Advertising, Analytics, App Functionality

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