PDF Toolkit

The tool provides a structured analysis of PDF documents, returning metadata, page counts, font inventories, color spaces, image counts, and encryption status. Its purpose is to give document teams reliable signals about a file's structure and provenance without opening the content.
Conceptually, it parses the PDF's internal objects (Catalog, Pages, Font, Metadata streams) to assemble an objective report. For each file, it identifies fonts (including subset fonts), records metadata fields (Title, Author, Subject, Keywords), and notes whether the document adheres to PDF/A or contains encryption. Batch processing aggregates results across multiple files.
Audience and value: publishers, legal teams, archivists, and QA engineers benefit from fast, repeatable checks that reduce risk and expedite workflow. Unique differentiators include deterministic font-subset detection, precise metadata extraction, and exportable reports suitable for audits and tooling integration.
Core features and use cases: single-file or batch analysis; per-file JSON reports; human-readable summaries; optional PDF/A hints; support for URL inputs; and export to JSON/CSV for downstream pipelines. Use cases include preflight for printing, metadata governance, and archival validation.