AnkiWeb
- Rating
- 0 (👍 0 · 👎 0)
- Updated
- 2026-08-03
- Anki versions
- 25.09.4~
- Description language
- zh
AnkiWeb addon 2048855508
Batch-fills selected Anki notes with definitions from local MDX dictionaries offline, offering full, filtered, or structured output modes.
Open on AnkiWeb GitHub Ask about alternatives
active
| Min Anki | Max Anki | Updated |
|---|---|---|
| 25.09.4 | + | 2026-08-03 |
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Batch-fills Anki note fields from local MDX dictionaries offline, preserving formatting, with lemmatization, multi-dictionary mapping, undo, and self-contained HTML export.
Imports ZIM files into Anki to fill notes with Wiktionary definitions, examples, pronunciations, plus a pop-up dictionary, browser, and settings.
Queries definitions, examples, and other fields from local mdx/stardict or online dictionaries to fill Anki notes, using multi-threaded lookups for faster card creation.
Queries word definitions or examples from local or online dictionaries to fill Anki note fields, supporting mdx, stardict, web dictionaries, and multi-threaded faster querying.
Queries words in mdx/stardict and web dictionaries, then fills Anki note fields to make language-learning cards immediately.
Generates Japanese definitions tailored to known kanji and vocabulary using a user-ordered ladder of local Yomitan dictionaries, with Tab-to-Generate filling empty fields via local SQLite lookups.
Batch-fill Anki note fields with definitions from a local MDX dictionary. The add-on works entirely offline and does not upload note content or dictionary data.
Current interface language: Simplified Chinese. English localization is planned.
MDX Batch Dictionary Importer 可以在 Anki 浏览窗口中,根据本地 MDX 词典为选中的笔记批量添加释义。
[sound:...] 标签、HTML 和零宽字符。StyleSheet 样式编号。在 Anki 中打开“工具 → 插件 → 获取插件”,输入本插件的 AnkiWeb 代码,然后重新启动 Anki。
发布后,请在这里补充 AnkiWeb 代码。
.ankiaddon 文件。.mdx 文件。例如,当词头字段包含:
advance [sound:example.mp3]
插件会自动使用 advance 查询词典,不需要额外填写正则表达式。
内置读取器的设计范围:
StyleSheet 样式展开。暂不支持:
所有词典查询和笔记处理都在本地完成。插件不访问网络,不收集遥测数据,也不会上传 Anki 笔记或 MDX 内容。
本项目不包含、提供或分发任何 MDX/MDD 词典文件。用户需要自行取得并确保有权使用相应词典。请勿将商业词典文件提交到本仓库、GitHub Releases 或 AnkiWeb 安装包中。
本项目与 Anki、AnkiWeb、MDict 及任何词典出版商均无隶属或授权关系。Anki 是 Ankitects Pty Ltd 的商标。
提交 Issue 时请附上:
StyleSheet markers.Download the latest .ankiaddon from GitHub Releases, then choose Tools → Add-ons → Install from file in Anki and restart the application.
After the AnkiWeb release is available, the add-on can also be installed with its AnkiWeb code through Tools → Add-ons → Get Add-ons.
Test status: ECDICT.mdx is the only dictionary currently covered by regular functional and regression testing. Other MDX dictionaries are experimental and have not been systematically verified. Full-definition lookup may work, while filtering and structured extraction depend on each dictionary's private HTML layout.
The bundled reader is designed for MDict 1.x/2.x files using no compression or zlib compression, common key-index obfuscation, and embedded StyleSheet expansion.
LZO compression, password/registration-code record encryption, MDict 3.x, MDD resources, fuzzy matching, and lemmatization are not currently supported.
No dictionary files are included or distributed with this project. Users are responsible for obtaining dictionaries legally and complying with their licenses. Do not upload commercial dictionary files to this repository, GitHub Releases, or AnkiWeb.
This project is not affiliated with or endorsed by Anki, AnkiWeb, MDict, or any dictionary publisher. Anki is a trademark of Ankitects Pty Ltd.
The add-on is a standard Anki Python module. For local development, copy the mdx_batch_meaning directory into Anki's addons21 directory and restart Anki.
To build an .ankiaddon, create a ZIP whose root directly contains __init__.py, manifest.json, and the other add-on files, then rename the archive extension to .ankiaddon. Do not include the parent directory, __pycache__, test data, or dictionary files.
The add-on source code is released under the MIT License.
The MDX format is not officially documented. The reader implementation was informed by publicly available MDict format research, including mdict-utils and writemdict.