Extract text and tables from PDFs and process fillable forms.
npx skills add https://github.com/mayankmishra0403/printhub --skill pdf-mayankmishra0403
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/mayankmishra0403/printhub/tree/main/skills/document-skills/pdf Command: npx skills add https://github.com/mayankmishra0403/printhub --skill pdf-mayankmishra0403
PDFs often contain critical data in inconsistent formats, making manual extraction, data entry, and archiving slow and error-prone.
Extract text and tables from a sample PDF, merge pages as needed, and automatically fill forms using a JSON field map.
High-intent search queries and answers about installing and using this skill.
Automating PDF text and table extraction at scale is handled by processing business workflows like invoices and contracts, using libraries like pypdf to pull structured data and enforce validation hooks for accurate results.
Python can fill both fillable and non-fillable PDF forms by applying a JSON field map to automate data entry, while providing validation hooks to ensure the form data and annotations are accurate.
Merging and splitting PDF documents is fully supported, allowing you to assemble pages as needed and annotate PDFs during end-to-end workflows for processing reports and contracts.
You need pypdf, pdf2image, and Pillow installed to process PDFs, as the automation enforces dependency checks before executing text extraction, form handling, and document assembly tasks.
The best way to digitize contracts and invoices from PDF files is running automated end-to-end workflows that extract structured data and tables, yielding editable outputs for business archiving.
OpenCoworkAIExtract text, tables, and form fields from PDFs using pypdf and pdf2image.
alibabaExtract text, tables, and metadata from PDF documents into JSON.
hidonguyenExtract text, tables, images, and form values from PDFs.
TheWatcher01Automate PDF extraction, merging, and form filling with Python tooling.
