pdf-inspector Routes PDFs Before OCR, Cutting Unnecessary Processing Costs

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A new open-source library called pdf-inspector aims to reduce the cost and time of document-ingestion pipelines by classifying PDFs before deciding whether to apply OCR. The tool detects whether a PDF contains native text, scanned images, or a mix of both, and routes only the pages that genuinely lack usable text to the OCR engine. For text-based pages, it extracts content locally and converts it to Markdown, preserving structure such as headings, tables, lists, and reading order. The library is available for Python, Node.js, and WebAssembly, making it usable across server and browser environments. A benchmark against a 200-document corpus published by the project in July 2026 reported strong table and reading-order scores, though developers are advised to test against their own document sets before deploying to production.

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