AnkiWeb addon 1321136162
Crawls cross-references from selected grammar cards up to a chosen depth, then tags the discovered notes and optionally builds filtered decks, browser views and execution logs.
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active
| Min Anki | Max Anki | Updated |
|---|---|---|
| 2.1.1 | + | 2026-04-13 |
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Looks up Japanese vocabulary on Jisho to color card fields by easiest JLPT level and add JLPT or Common tags, with configurable fields, decks, and preserved HTML.
Uses an LLM to generate English concept tags for selected notes and displays their connections in an interactive, offline 3D knowledge graph.
Displays a customizable real-time dashboard in Anki tracking vocabulary and grammar progress across JLPT levels N5βN1, with study-pace completion estimates, exam countdown, and separate metrics.
Creates mindmaps, graphs, and visualizations from Anki tag hierarchies, requiring Graphviz to be installed and available on the system PATH.
Stores YouTube videos in a searchable sentence database, adds matching audio, sentences, and screenshots to existing cards, and creates Subs2SRS decks from videos or playlists.
Batch-exports audio from selected cards by scanning all note fields for sound references, copying files to a chosen folder with optional numeric prefixes and duplicate prevention.
An automated Anki add-on based on the grammar-note designed to crawl through interconnected grammarstructures and build study clusters based on cross-references. It scans your selected base cards, follows embedded links to find related topics, and can automatically group them for focused study sessions.
The crawler relies on two specific fields in your Anki notes (configurable at the top of the script):
Level And Grammar Point): The main title or identifier of the note.Connected Grammar Points from jlptsensei (optional)): The field containing internal Anki references (e.g., [Grammar Point|nid123456]).When executed, the add-on reads the internal references of the selected cards, searches the database for those matching notes, and repeats this process depending on the "Search Depth" (Degree) you specify.
1 finds immediate neighbors; a degree of 2 finds neighbors of those neighbors.Ctrl+Alt+R.grammar. Ensure your target cards are located there, or modify the deck:grammar search string in the script to match your setup.[Name|nid12345]. 1:γ«) are mapped out in the EXCEPTIONS dictionary at the top of the file to improve search accuracy.Due to filesize issues the deck (old version) with audiofiles can be found on https://drive.google.com/file/d/1P3xBSHHB26fl5I7XyeRaTjwXtzGfPcpA/view?usp=sharing
The light version without the audiofiles is here
You cannot rename the deck otherwise the crawler addon will not work (so rename it to "grammar" after you downloaded it)
This is a relational grammar database that provides an overview of different Japanese grammar patterns and their connections. These connections can be visualized via add-ons.
The note type is designed so that only the back is visible. It functions as a database and intermediary tool during the sentence mining process; it is not intended for traditional flashcard reviewing, but rather for looking up reference information.
These optional add-ons enhance the functionality of the note type but are not strictly required:
https://github.com/user-attachments/assets/0e4ca214-63b5-4fa3-8457-0beb05aa9284
With the Crawler Addon you can create clusters and with the help of the NoteLinker addon (see setup) you can also visualize the connections in a anki native overview
The " γΏγγ" cluster of degree 2 and 3:
Video Link for degree 2: https://github.com/user-attachments/assets/01ecc6cf-03b4-4220-b0d1-26857b3ef7c2
Video Link for degree 3: https://github.com/user-attachments/assets/2b9c75aa-e750-413a-bc37-0b184a35c306
Big Graph Demo Video click link:
https://github.com/user-attachments/assets/635b9d71-c994-43cc-bddb-f8bd3170f4fc
The note structure consists of the following fields:
| Field Name | Description |
|---|---|
| Level And Grammar Point | Contains the JLPT level prefix, followed by a representative Japanese string identifying the grammar, and a condensed meaning description. |
| Link | A URL linking to the original JLPT Sensei website entry. This field is empty for manually created cards. |
| Connected Grammar Points from jlptsensei | Contains links to syntactically or semantically similar grammar points. These were copied from JLPT Sensei during the initial setup via the Notelinker add-on. Links can also be added manually using the Manual Linker add-on. |
| Notes | Personal notes and custom reminders related to the grammar structure. |
| construction | The grammar connection rules, copied from JLPT Sensei. This field serves as the structural baseline for generating the corresponding regex patterns. For manual cards, this content can be generated with AI, keeping the underlying HTML structure intact to preserve the layout. |
| examplesentences | Sample sentences copied from JLPT Sensei. For manual cards, this can contain personal examples or sentences encountered during reading. |
| title audio | TTS audio file reading out the text in the Level And Grammar Point field. |
| construction audio | TTS audio file reading out the text in the construction field. |
| examplesentence audio | TTS audio file reading out the text in the examplesentences field. |
| regexpattern | Regular expression designed to match the specific grammar pattern. It is read by the grammarhub browser extension to detect and match grammar structures on web pages. |
| mined sentence | Contains the context sentences collected via grammarhub. It is populated automatically with bidirectional links by the grammarminer add-on. |
This workflow utilizes the Relation Degree Graph & Crawler add-on to build specific study sets.
Edit -> Tag _Process Degree Relations.This workflow automates the extraction of contextual sentences from web pages and links them directly to your base database.
regexpattern field from your database to detect, match, and display grammar points directly in the browser while reading.simplemining grammar cards for your active review and updates the underlying base cards with the mined sentences, establishing bidirectional links between the base card and the mining card.To import the audio files from the old deck version into the updated format, use the following local media directory method:
collection.media folder.