kotaro-kinoshita/yomitoku

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1579 stars · 58 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

YomiToku is an AI-powered document image analysis engine specialized for Japanese, providing full-text OCR, layout analysis, table structure recognition, and reading-order estimation. It converts document images into HTML, Markdown, JSON, CSV, or searchable PDFs, running on GPU or CPU with PyTorch-based models.

Use cases

• extract text from Japanese document images with ocr
• convert scanned pdfs to searchable pdf or markdown
• analyze document layout and reading order
• recognize table structure in document images
• read handwritten or vertical Japanese text
• extract figures and tables from document images

When to choose

• you need high-accuracy OCR for Japanese documents including handwriting and vertical layouts
• you want structured output (markdown, html, json, csv) preserving document semantics
• you need table structure recognition and layout analysis, not just raw text
• you want local inference without sending images to external servers

When to avoid

• you need a permissive open-source license for commercial use - commercial use requires a paid license
• your documents are primarily non-Japanese and non-English
• you need a lightweight pure-CPU pipeline without model downloads
• you only need simple OCR without layout or table analysis

Facets

library · maturity active

ocr image-processing machine-learning deep-learning pdf parser computer-vision pdf machine-learning developer-tools python windows cli document-ai layout-analysis japanese table-structure-recognition searchable-pdf pytorch handwriting-recognition natural-language-processing linux macos gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="kotaro-kinoshita/yomitoku")