Extract text, tables, metadata, and form data from PDF documents.
npx skills add https://github.com/xiehust/strands_demos --skill pdf-xiehust
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/xiehust/strands_demos/tree/main/strands_skills_demo/skills/pdf Command: npx skills add https://github.com/xiehust/strands_demos --skill pdf-xiehust
Eliminates the tedious manual work of filling out PDF forms and extracting data from documents, saving you hours of repetitive effort. It enables programmatic processing, generation, and analysis of PDFs at scale, reducing complexity and human error.
from pypdf import PdfReader import pdfplumber
reader = PdfReader("document.pdf") print(f"Pages: {len(reader.pages)}")
with pdfplumber.open("document.pdf") as pdf: for page in pdf.pages: text = page.extract_text() print(text)
High-intent search queries and answers about installing and using this skill.
Extract text and tables from PDFs using pypdf and pdfplumber libraries, which parse document content and return structured data. Both handle standard and complex layouts, outputting text strings and table arrays you can process into CSV, Excel, or JSON formats for further analysis.
Yes, pypdf and reportlab enable programmatic form filling by writing field values directly into fillable and non-fillable PDF forms. You can batch-process multiple forms with data from spreadsheets or databases, automating what would otherwise require manual entry.
Use pytesseract with pdf2image to convert scanned pages to images, then apply OCR to extract text from image-based content. This workflow handles PDFs containing photos or handwritten material that standard text extraction cannot read.
Merge, split, and rotate PDFs using pypdf for document manipulation tasks. Combine multiple files into one, extract specific page ranges, or adjust page orientation—all operations return modified PDF objects ready to save or process further.
Extract document metadata like creation date and author using pypdf and pdfplumber, and add password protection with pypdf. Both operations support batch workflows, letting you audit document properties and secure files at scale.
PDF automation scales to hundreds or thousands of documents through batch processing with pypdf, pdfplumber, and CLI tools like pdftotext and qpdf. Process documents in parallel loops, extract data in bulk, and export results as structured datasets without manual intervention.
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Steffen025Extract text, tables, and form data from PDFs using Python libraries.
