
Building a Document Processing Pipeline with 0xPdf and Python
Building a Document Processing Pipeline with 0xPdf and Python Most document workflows start simple and become painful fast. You parse a few PDFs by hand, maybe write a quick script, and everything seems fine -- until volume grows. New vendors appear, layouts change, and your extraction breaks in production. Suddenly you're spending more time fixing parsing logic than building product features. In this guide, I'll show a practical, production-style pipeline for document processing with Python and 0xPdf: Watch a folder for incoming PDFs Parse files into structured JSON with 0xPdf Store results in PostgreSQL Send Slack notifications Add retries and error handling Scale to async processing for bigger workloads This is the pattern I'd use for internal ops automation, AP/finance workflows, and document-heavy backend services. Why automate document processing If your team deals with invoices, forms, contracts, or reports, you probably face one or more of these issues: Manual copy/paste into s
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