Read Hangul out of a screenshot, photo or scan. Korean composes letters into square syllable blocks rather than writing them in a line, so the recogniser is trained on the blocks rather than on the 24 letters — and the output is ordinary Unicode Korean. English on the same page is read by the same 13 MB pack.
How it works
- Drop an image or PDF. Text detection runs immediately.
- Pick your language pack (downloaded once, 8–17 MB) and press Read text.
- Copy the lines, or download .txt / .json. PDFs are read cover to cover.
Questions
- Does it read Hanja as well as Hangul?
- Mixed Hanja is not what this pack is trained for. A document with substantial Chinese characters is better served by the Chinese pack, which reads CJK and English together — switch in the language picker and run it again.
- Does my file get uploaded?
- No. The models and all processing run inside your browser on your own device. You can verify this yourself: open your browser’s DevTools, watch the Network tab, and process a file: there are no uploads. After the first visit most tools also work fully offline.
- Which languages are supported?
- 106 languages across Latin, Cyrillic, Arabic, Devanagari, CJK, Greek, Thai, Tamil and Telugu scripts. Bengali is the one major gap, since no v5 model exists for it yet, and the picker says so rather than guessing.
- How accurate is it?
- On clean document text, the measured character error rate is under 2%, and every line carries a confidence score so you can see which ones to check. Handwriting and low-resolution photos will read worse.
- Does it read scanned PDFs?
- Yes. Digital PDFs are read from their own text layer, with exact characters at exact positions. Scanned pages go through detection and recognition, and mixed documents use both.