PDF Comparison Tool

The tool performs automated, reproducible PDF comparisons in a programmable workflow. It ingests two PDFs and outputs a structured diff report that highlights per-page differences in text, metadata, and optionally images. Conceptually, the process breaks each document into ordered pages, extracts text and key metadata, and computes diffs page by page. A scoring system aggregates text similarity, metadata parity, and image consistency into a final similarity score. This enables teams to quantify drift between versions, verify regression results, and document changes for audits. A Python-based backend makes it easy to integrate into CI pipelines and QA scripts, while the report remains machine-readable for automation and human-readable for reviewers. Unique value comes from configurable compare modes, deterministic results, and export options (JSON/CSV). Use cases include pre-release checks of policy PDFs, regulatory documentation audits, and ensuring publishing accuracy across document revisions. Core features include page-by-page text diffs, metadata diffs (title, author, dates), optional image diffs via hashing, per-page diff summaries, and an overall similarity score. The tool is designed to handle encrypted PDFs with passwords and to report page-count mismatches gracefully. It is suitable for developers, test engineers, content teams, and compliance professionals seeking a fast, auditable PDF comparison workflow.