pdf

Text and table extraction from PDFs uses layout-aware parsing to pull structured data into formats like CSV or JSON. This Skill automates reading PDFs, identifying tables, and converting content into usable formats for batch processing and data pipelines.

Automated form filling works on both fillable and non-fillable PDF forms by programmatically inserting data into form fields or overlaying text. This eliminates manual entry for batch document workflows, vendor invoices, and compliance reports.

OCR converts scanned PDFs into searchable, editable text by recognizing characters in image-based documents. This enables data extraction from legacy documents, archived invoices, and paper-based workflows without manual transcription.

PDF merging and splitting combines or divides documents programmatically for batch assembly, report generation, and document organization. This supports scalable workflows like consolidating vendor documents or distributing multi-page reports by section.

PDF creation converts structured data into formatted reports, generating documents programmatically from templates or dynamic content. This automates report assembly, invoice generation, and compliance documentation at scale.

This Skill uses common Python libraries and CLI tools that handle standard PDF formats natively. No specialized dependencies are required for typical use cases; the Skill manages text extraction, table parsing, and form handling across standard PDF variations.