Start with one glossary
A table, vocab page, or photographed list from a textbook or handout.
Less time fixing CSV rows. More time reviewing cards.
How it works
From glossary photo to import-safe rows.
Clean the rows
Pairs, readings, accents, tags, quotes, commas, duplicates, and blank fields.
Export safely
A CSV shape that maps cleanly into Anki without surprise junk cards.
The import-breaking details
OCR gets the characters. Anki still needs clean structure.
- OCR gets the text, then breaks the rows.
- Non-Latin scripts, readings, accents, and commas make imports fragile.
- A bad CSV can create dozens of junk cards.
- Manual cleanup steals study time before you even review.
Will it survive my glossary?
Questions Anki users ask before trusting an import.
Why not just use OCR?
OCR reads text. This is about turning messy glossary rows into import-safe Anki cards with clean fields, tags, duplicates checked, and commas handled correctly.
What would the first export look like?
A structured Anki-ready file with fields like term, meaning, reading, notes, and chapter tag, plus checks for blanks and duplicate fronts.
Will it fit my existing Anki deck?
The aim is to make rows easy to map into the note type you already use, instead of forcing you into a new study system.
What if the glossary photo is messy?
Unclear rows should be flagged for review instead of silently becoming junk cards that you only notice after import.
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