Image to Word

What It Solves

Text, tables, and signature lines in images are hard to edit directly. Scanned forms, meeting-note photos, receipts, and signage may need to become editable Word documents, without manually retyping text, rebuilding tables, or re-setting layout. This skill connects image reading, structure extraction, and .docx generation into one workflow.

How It Works

It first reads and analyzes the image, identifying:
- Titles, body text, and paragraph hierarchy
- Tables, fill-in fields, and underline blanks
- Signature/date areas
- Alignment, indentation, and formatting cues

It then uses docx-js in a Node.js environment to generate the document. Key steps include setting A4 page size, specifying a Chinese font such as FangSong at 12pt, using full-width spaces for fill-in underlines, and preserving centered titles and paragraph indentation. The script writes the final .docx to the workspace and keeps the temporary script for review.

Boundaries and Notes

It fits text-, form-, and document-like images that need to become editable files, but it does not guarantee OCR accuracy. Complex handwriting, rotated pages, and dense multi-column layouts may need manual review. Chinese body text is handled with common official-document font and size assumptions; if the target requires other fonts, margins, or table styles, adjust them explicitly in the generation script.