Why 98% Accuracy in Bank Statement Parsing Is More Dangerous Than Total Failure

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Developers tasked with extracting transactions from PDF bank statements often underestimate the challenge, not because parsing is easy, but because partial failures can go undetected. A 98% accurate extractor on a 300-row statement still produces roughly six silent errors — plausible-looking data that only surfaces during reconciliation weeks later. Unlike a parser that crashes visibly, silent errors are far harder to catch and fix. Bank statements, however, contain built-in checksums: an opening-to-closing balance at the document level and a running balance at the row level, both of which can validate extracted data without needing a ground-truth reference. Performing these checks in integer cents rather than floating-point numbers prevents rounding drift and keeps error tolerances meaningful.

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