Extract text, tables, and metadata from PDFs using Python and CLI tools.
npx skills add https://github.com/modelscope/ms-agent --skill pdf-modelscope
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/modelscope/ms-agent/tree/main/projects/agent_skills/skills/pdf Command: npx skills add https://github.com/modelscope/ms-agent --skill pdf-modelscope
This Skill eliminates the tedious, error-prone manual work of processing PDF documents. It automates everything from data extraction and form filling to document merging and splitting, saving you countless hours and ensuring accuracy.
Use the pdf skill to extract all tables from the attached financial report 'annual_report_2024.pdf' and save them as an Excel file.
High-intent search queries and answers about installing and using this skill.
Extract tables and text from PDFs using pdfplumber for precise table parsing and text retrieval, or pypdf for broader text extraction. Both libraries handle structured and unstructured content, returning data you can export to Excel, CSV, or JSON formats.
Yes, automate form filling by using pypdf or reportlab to programmatically populate both fillable and non-fillable PDF forms with data. Define form field mappings in JSON or use annotation-based methods to insert values at exact positions.
Merge, split, and rotate PDFs using pypdf for comprehensive document manipulation, or qpdf via CLI for command-line workflows. Both handle multi-page operations, allowing you to combine files, extract page ranges, and reorient pages in batch.
Extract text from scanned PDFs by converting pages to images with pdf2image, then applying pytesseract for OCR recognition. This workflow handles low-quality scans and image-based content, returning searchable text and structured data.
Create PDFs from scratch using reportlab to generate documents with text, tables, images, and formatting. Combine with pypdf to merge generated content with existing documents and handle metadata, watermarks, and page modifications.
Work entirely in Python with pypdf, pdfplumber, and reportlab for most tasks. CLI tools like pdftotext and qpdf offer alternative workflows for batch processing, but Python libraries provide programmatic control and integration into larger automation pipelines.
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