🐉 ChineseIsEasy

Axel Delaval (陈安思) • 30 January 2026

Other projects in the ChineseIsEasy ecosystem:

🐉 ChineseIsEasy — Tools to Learn Chinese Efficiently (v3.0)

ChineseIsEasy is a collection of tools I built to study Mandarin efficiently as a French learner. It provides:

• generators for high-quality Anki decks (Vocabulary, Poems, Idioms)
• French-oriented explanations & examples
• stroke-order animations, audio, semantic images
• a unified, mobile-safe HanziWriter engine
• clean templates that work identically on Desktop, AnkiDroid, and AnkiMobile

Everything is open, reproducible, and designed for long-term learning.

Figure 1 : Recto-Verso example of vocabulary cards with audio, images, explanations, and examples.

✨ What's New in v3.0

Compared to v2.2, the code has been refactored and modularized for better maintainability and extensibility. Instead of notebooks for each deck type, there is now a unified anki_generator.py script with configuration files for each deck.

The dataset has also been updated and better formatted in HuggingFace.

The appearance of the cards has been slightly improved, using a more modern font and cleaner layout, through a shared CSS file. Moreover, individual words now use gtts audio again (instead of 百度 API) even if it is less natural, because for short samples, the tone pronunciation were sometimes unreliable.

How to Use (No programming skills required)

1. Install Anki on your computer and AnkiDroid on your mobile device.
2. Go to our Realese Page and download the latest pre-generated Anki decks (in .apkg format).
3. In Anki Desktop, go to File -> Import and select the downloaded .apkg file to import the deck.

You are done !

⚠️ Note : The default settings automatically play all audio in the cards, which is anoying in our case. To disable this, go to Preferences → Audio → Don't automatically play audio

Repo Structure (If you want to dig into the code)

The code files in src/ are organized as follows:

├── anki_generator.py <-- Unified Anki Deck Generator
├── config.json
├── display.py
├── generate_audio.py
├── generate_image.py
├── generate_text.py
├── prompt_manager.py
└── prompts

The generate*.py files contain modular functions for generating audio, images, and text content. They might need to be adapted for each use case.

The prompt* files and folders contain the logic for prompt management and LLM interaction, through OpenAI API.

The config.json file contains the configuration for the deck to be generated (fields, layout, grouping, filters, etc.)

The anki_generator.py file is the main script that ties everything together and generates the Anki deck based on the configuration and dataset.

Note : If you use this code, some of the files (mostly the shared JS and CSS files for Anki) are extracted from our HuggingFace Repo.

Weekly Personal Lists

If you already imported and synced the full ChineseIsEasy::Dictionary deck in Anki, you can build small personal decks without loading the Hugging Face dataset again.

src/make_mylist_apkg.py reads your local synced Anki collection, copies the existing ChineseIsEasy note fields for the requested words, and exports a tiny deck under mylists/<name>/<name>.apkg.

Example:

python src/make_mylist_apkg.py --file mylists/week-2026-06-03.txt

With inline words:

python src/make_mylist_apkg.py week-2026-06-03 理解 背诵 有用 语言 方式 思考 千万 犯错

On macOS, Anki profiles are usually stored under ~/Library/Application Support/Anki2/<profile>/collection.anki2, not /Library/Application Support. The script auto-selects the ChineseIsEasy profile when it exists. You can also pass the collection explicitly:

python src/make_mylist_apkg.py week-2026-06-03 --collection "$HOME/Library/Application Support/Anki2/ChineseIsEasy/collection.anki2" 理解 背诵

For cards copied from your Anki collection, existing references like [sound:...] and <img src="..."> are preserved. If a copied or fallback card has an empty Audio field, the script generates a Google TTS MP3 fallback and embeds it in the APKG. It also generates Google TTS audio for fallback examples.

If some words are missing from your local Anki collection, the script still exports the cards it found and prints the missing list. Use the mylist_fallback_csv prompt in src/prompts/catalog.yaml with those missing words, then save the AI output next to the list with the same name and a .csv extension:

mylists/week-2026-06-03.txt
mylists/week-2026-06-03.csv

Run the same command again. The script automatically loads the sibling CSV and creates fallback cards for the missing words. The CSV must use semicolon separators and quoted fields:

"Word";"Traditional";"Pinyin";"Meaning";"Explanation";"Examples";"Category";"Frequency";"Image";"Audio"

You can also paste CSV rows directly into the word-list file. Plain lines are treated as words; semicolon CSV lines are treated as full fallback card rows.

For fallback CSV rows, Examples should contain the JSON format produced by the mylist_fallback_csv prompt. The script converts that JSON into the same clickable example HTML used by Dictionary cards. Older fallback rows that contain AI-generated sentence-container HTML are repaired automatically when possible.

If you only want to check coverage or you do not want network-backed audio generation, use --dry-run or --no-gtts-fallback.

AnkiWeb cannot be used as a remote card or media server from inside an APKG. This script uses your local Anki collection as the source of truth instead.

Generation Pipeline

1. Linguistic Enrichment: Batch processing via GPT-4o-mini for pedagogical categories and grammatical explanations.
2. Visual Semantics:

• LLM-driven prompt engineering.
• Local generation using Juggernaut XL v9 (SDXL) to create high-quality semantic anchors.

3. Audio Strategy:

• Words: Human recordings (CC-CEDICT-TTS) supplemented by gTTS fallbacks.
• Sentences: Synthesized using voxcpm with voice cloning from the ST-CMDS-20170001_1-OS corpus for natural diversity.

⚖️ License

• Dataset Content: Released under CC BY 4.0.
• Lexical Base: Derived from CC-CEDICT.
• Frequency Stats: Based on the SUBTLEX-CH corpus.
• Fonts used specify their own licenses in the OFL.txt files.

Author

Axel Delaval (陈安思)