Extract text, tables, and metadata from PDF documents.
npx skills add https://github.com/deichworx/smart-swap --skill pdf-deichworx
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/deichworx/smart-swap/tree/main/skills/pdf Command: npx skills add https://github.com/deichworx/smart-swap --skill pdf-deichworx
PDF documents are ubiquitous but performing repetitive tasks like text extraction, table parsing, form filling, and document composition is tedious and error-prone. This skill provides a programmable toolkit to automate these tasks end-to-end.
Use the pdf skill to extract all text from the attached file 'document.pdf' and then demonstrate form filling with the provided scripts.
High-intent search queries and answers about installing and using this skill.
To extract text and tables from PDFs using Python, this skill uses pypdf for reading text and metadata, with optional pdfplumber support for advanced table extraction. It handles both single-document and batch processing workflows.
Yes, you can automatically fill PDF forms from a data source with Python. This skill programmatically handles both fillable and non-fillable forms, allowing you to populate client intake forms or annotate documents for manual review.
The best way to batch process PDF invoices for data extraction is using a Python automation script. This skill processes hundreds of invoices to extract line items and populate a CSV, relying on pypdf, pdf2image, and Pillow to read and render documents.
Yes, pypdf supports merging, splitting, and rotating documents for report generation. This skill uses pypdf alongside Pillow to read, render, and assemble new PDFs for archiving and automated reporting workflows.
To convert PDF pages to images for annotation in Python, this skill uses the pdf2image and Pillow libraries. It renders PDF documents into images, enabling you to annotate non-fillable forms or visually review extracted data.
The limitations of using pypdf for PDF text extraction include handling complex table structures, which requires the optional pdfplumber dependency for advanced extraction. Standard pypdf is best utilized for straightforward text, metadata reading, and document assembly.
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