PDF Inspector

PDF Inspector focuses on extracting a machine-readable audit of a PDF file. It reports core signals such as title, author, subject, producer, creation and modification dates, and whether metadata is embedded or missing. It enumerates page count and dimensions, identifies fonts used (including whether they are embedded or subsetted), and lists embedded content such as images, annotations, and attachments, and notes whether the document complies with common standards such as PDF/A or PDF/UA. The output is designed for automated validation, not for presentation.
Conceptually, the tool parses the PDF structure, traverses the object graph, and aggregates signals into a structured report. It does not render content or perform OCR; instead it focuses on structural and metadata signals that affect interoperability, compliance, and long-term accessibility. The report is deterministic, suitable for CI pipelines, migration projects, and QA cycles. Users benefit from a single source of truth about a document's composition, enabling faster triage, policy enforcement, and risk assessment. Unique value includes a formalized JSON schema and exportable summaries for audits.
Common use cases include legal discovery preprocessing, archival quality checks, accessibility validation, vendor audits, and content migration projects. The tool supports batch processing and can be integrated into automated workflows for consistent PDF governance. It also flags anomalies, such as missing fonts, non-embedded fonts, or incompatible encryption settings, helping teams prioritize remediation. The core differentiator is the combination of deep structural insight with automation-ready reporting and explicit handling of encrypted or restricted files, which reduces manual review time and improves reproducibility.