Extract text and tables from PDFs and fill forms programmatically.
npx skills add https://github.com/dandaka/skills --skill pdf-dandaka
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/dandaka/skills/tree/main/pdf Command: npx skills add https://github.com/dandaka/skills --skill pdf-dandaka
Manual extraction, form completion, and programmatic manipulation of PDFs is slow, error-prone, and difficult to scale. This skill provides step-by-step tools and scripts to extract text and tables, fill both fillable and non-fillable forms, annotate documents, and perform merges/splits so teams can automate document workflows reliably.
Extract all text and tables from invoice-q3.pdf and return a merged plain-text file plus a CSV of any extracted tables.
High-intent search queries and answers about installing and using this skill.
Extract text and tables from PDF documents using robust parsing with OCR fallbacks for scanned pages. This process yields plain text and structured table data suitable for downstream analysis or CSV and Excel export.
Fill non-fillable PDF forms programmatically using image-based annotation workflows. The process applies bounding-box validation and field value checks to accurately place data on flat PDF documents.
pypdf supports merging, splitting, and rotating PDF pages natively. You can create reports, add watermarks, and apply password protection programmatically to manipulate document workflows reliably.
Automate batch processing of vendor invoices by extracting line items and totals to a CSV, then producing filled archival copies of standardized forms. This workflow leverages pypdf-based reading and writing with OCR fallbacks.
Text extraction fails on scanned PDF pages because they contain images instead of embedded text. Applying OCR fallbacks via pdf2image and Pillow rendering converts pages to images, enabling successful extraction.
Helper scripts to detect fillable fields are required before filling a PDF form. They identify native form fields, convert pages to images, and generate validation images to verify annotation geometry before writing output.
AnishWerkstattExtract text and tables from PDFs using Python scripts.
noobmastercnExtract text, tables, and metadata from PDFs using Python libraries.
zizhenchen47-ossExtract text, tables, and metadata from PDF documents.
Tommy-ywConvert PDFs and scanned documents into editable text using OCR.
