Extract text and tables from PDFs into structured data formats.
npx skills add https://github.com/HanLi0705/lead_agent --skill pdf-hanli0705
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/HanLi0705/lead_agent/tree/main/Mini-Agent-main/mini_agent/skills/document-skills/pdf Command: npx skills add https://github.com/HanLi0705/lead_agent --skill pdf-hanli0705
This Skill addresses the time-consuming manual work of processing PDFs by enabling automated text extraction, table capture, form handling, and document manipulation across multiple files.
Run from the skill root with the bundled Python scripts to perform common tasks:
High-intent search queries and answers about installing and using this skill.
To extract text and tables from PDFs into structured data, this skill uses Python scripts with pypdf to read and parse document content. It processes invoices and reports, capturing key fields for downstream processing into structured formats like CSV or databases.
Yes, you can fill both fillable and non-fillable PDF forms programmatically. The skill provides scripts to build field metadata from an input PDF and apply that data to fill forms or annotate documents for verification using Python libraries.
To render PDF pages to images for inspection, run the bundled script convert_pdf_to_images.py. This skill uses the pdf2image and Pillow libraries to convert PDF documents into image files, enabling visual verification and document inspection workflows.
Yes, this approach works for batch processing hundreds of PDF invoices. The skill automates PDF processing workflows where multiple files must be parsed, extracting key fields like invoice number and total into structured data formats for storage.
The Python libraries needed for PDF text extraction and document manipulation are pypdf, pdf2image, and Pillow. These dependencies allow the skill to read, render, and annotate PDFs, supporting form handling and document transformation tasks.
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