document_content_extraction
Robustly extracts text from PDF, DOCX, and PPTX files while maintaining structural integrity for multi-column layouts and nested elements.
- License 许可
- MIT
- 最近更新
- 2026-10-02
- Stars
- ★ 92
- Forks
- 7
01 前言 Front Matter
- name
- document_content_extraction
- description
- Robustly extracts text from PDF, DOCX, and PPTX files while maintaining structural integrity for multi-column layouts and nested elements.
03 SKILL.md 正文
To ensure high-fidelity text extraction:
- PDFs: Utilize
pdfplumberorPyMuPDFwith layout-aware parsing enabled to prevent text jumbling in multi-column academic papers. - DOCX: Use
python-docxto extract text from body paragraphs, tables, and headers while ignoring metadata that may cause noise. - PPTX: Use
python-pptxto iterate through slides, specifically extracting text from text frames and shapes to capture slide content. - Fallback: If text extraction fails (e.g., scanned PDFs), use an OCR fallback (e.g.,
pytesseract) to ensure the file is still categorizable.
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glm-output
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glm-calibration
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glm-basics
A good starting point for GLM calibration tasks. Use to inspect glm3.nml, confirm how GLM runs, and identify the relevant files before moving on to calibration and output evaluation.