feat: experimental ocr with paragraph regrouping and adaptive typesetting - #1185
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Co-authored-by: reycn <11225092+reycn@users.noreply.github.com>
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Adds experimental OCR support to fast mode so image-only PDF pages can be translated without preprocessing them in another tool. PyMuPDF supplies the local OCR engine; the new
[ocr]extra downloads and caches Tesseract language data on first use, with language and local-data overrides available.Recognized words are regrouped within detected layout regions before translation, joining wrapped lines and soft hyphens. Translated paragraphs start at the median source font size and shrink to fit their original bounds. Detected figures, tables, and standalone formulas are preserved, and bilingual output retains the original source pages.
This initial implementation targets white-background, image-only scans. Pages with existing text or OCR layers are skipped; handwriting and inline equations may be recognized incorrectly. Precise mode is unchanged.
Validation: 70 OCR, converter, layout, and kernel regression tests passed before the final documentation change. Includes coverage for cached downloads, page selection, source preservation, two-column grouping, and bounded typesetting. A live external Chinese translation preview was not completed.