Developer shares production lessons building financial OCR with Claude Vision API

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A developer has published practical findings from processing thousands of bank statements, invoices, and receipts using Anthropic's Claude Vision API for optical character recognition. Traditional OCR tools such as Tesseract and AWS Textract were found to struggle with financial documents due to implicit table structures, strict number accuracy requirements, and inconsistent bank-specific layouts. Unlike conventional OCR, Claude Vision interprets document structure directly and returns clean, structured JSON data without requiring regex parsing. Image preprocessing techniques, including grayscale conversion and contrast enhancement, improved accuracy on mobile-captured documents from 78% to 94%. For multi-page statements, the developer recommends batching pages strategically to manage token limits, reduce latency, and control API costs.

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