Extract text, tables, and images from PDFs and fill forms.
npx skills add https://github.com/silvio-l/copilot-skills --skill pdf-silvio-l
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/silvio-l/copilot-skills/tree/main/pdf Command: npx skills add https://github.com/silvio-l/copilot-skills --skill pdf-silvio-l
Streamlines tedious PDF workflows by automating text and table extraction, form filling (fillable and non-fillable), page manipulation, and OCR so users no longer perform repetitive manual edits or visual data entry.
Ask the pdf skill to extract all text and tables from my file named invoice-q3.pdf and save results as CSV.
High-intent search queries and answers about installing and using this skill.
To extract text and tables from a PDF, use pdfplumber to identify structured table data and text, while pdf2image renders pages for OCR fallback on scanned documents. This yields clean plain text and structured table outputs ready for CSV export.
Yes, you can fill both fillable and non-fillable PDF forms automatically by detecting interactive fields or placing annotations with coordinate conversion and validation. This handles standardized audit forms and vendor invoices without manual data entry.
You can merge, split, rotate, and watermark PDF files in bulk using pypdf-based page manipulation. This supports batch processing and archival workflows by generating watermarked or encrypted outputs for multiple documents.
Yes, OCR for scanned PDF documents is supported using pdf2image and Pillow to render pages before text extraction. This provides an extraction fallback when digital text layers are absent or unreadable by pdfplumber.
The best way to process vendor invoices is extracting invoice numbers, dates, line items, and totals using pdfplumber, then exporting results as CSV. This automates repetitive visual data entry and standardizes bulk invoice workflows.
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