document-pdf

Extract text and tables from PDFs using libraries like pdfplumber or pdf-lib in Node.js workflows. These tools parse PDF content and return structured data for analysis, reporting, or further processing without manual data entry.

Yes, fill PDF forms programmatically using pdf-lib or PyPDF2 to populate form fields with data from your application. This automates form submission and document generation for invoices, applications, and reports.

Convert HTML to PDF using pdfkit in Node.js or ReportLab in Python. Both libraries render HTML content into formatted PDFs, enabling automated report and invoice generation directly from web templates.

Merge or split PDFs using pdf-lib or PyPDF2 to combine documents into single files or separate pages. This streamlines document assembly, report compilation, and batch processing workflows.

Text extraction works best on machine-readable PDFs; scanned documents require OCR preprocessing. Libraries like pdfplumber extract tables and structured text effectively from PDFs with standard layouts and embedded text.

Yes, the same PDF manipulation tasks—creation, extraction, form filling, and merging—run in both Node.js and Python environments using compatible libraries like pdf-lib, pdfplumber, and ReportLab.