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Developer finds 10% silent failure rate in PDF parser after testing on 80 real resumes

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A developer building a PDF and DOCX parsing tool called pdfmuse discovered a critical bug only after testing it against 80 real-world resumes from a production database. Eight of the 80 files returned completely empty output with no error or warning, representing a 10% silent failure rate that had gone undetected by the existing test suite. All eight failing files used Type0/Identity-H subset fonts and had their page text embedded inside form XObjects invoked by a Do operator, a pattern common in PDFs generated by Canva and Chrome's PDFium. The parser's content-stream interpreter did not handle the Do operator, and a lazy-loading optimization caused it to skip XObject bodies entirely, meaning the actual text was never parsed. The bug was only uncovered through real-world dogfooding, highlighting the gap between synthetic test data and production file diversity.

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