document-manager

You can extract text and tables from a PDF automatically by applying unified document processing workflows that read content and apply OCR when needed. This replaces manual steps with deterministic Python scripts for deterministic text extraction.

The best way to convert DOCX to PDF in an automated workflow is using a unified document processing approach that handles multi-format transformation. It applies deterministic Python scripts to convert Word templates directly without manual intervention.

Yes, document processing works with PPTX and XLSX files alongside PDF, DOCX, and Markdown. The unified workflow reads, converts, and manipulates content across these formats, applying format-agnostic automation for reporting and content pipelines.

Yes, you can merge and split multi-format documents without separate tools by using a unified workflow. It consolidates reading, conversion, and manipulation tasks into a single automated process, reducing time and errors in document processing.

You need OCR for document text extraction when processing scanned or image-based PDFs that lack selectable text. The document processing workflow applies OCR alongside standard text extraction to ensure content is readable across administrative and publishing formats.

To deploy document processing workflows into your local workspace, run the bootstrap script from the skill root. This mechanism sets up the Python scripts and deterministic tooling needed to automate reading, conversion, and manipulation tasks locally.