Most developers have tried OCR at some point. You pick a library, run it on a PDF, extract text… and it works. Until you try to use it in a real system. That’s where things start breaking. The Problem with “Basic OCR” Out-of-the-box OCR (like Tesseract or simple APIs) works fine for: Clean documents Standard fonts Structured layouts But real-world documents are messy: Different invoice formats Skewed scans Low-quality images Handwritten fields Multi-language content So what happens? You get: Incorrect extraction Missing fields Broken pipelines Manual fallback (again) At that point, OCR becomes a partial solution, not automation. What Production-Ready OCR Actually Requires If you're building OCR for real use cases (invoices, KYC, forms), think beyond text extraction. You need a pipeline, not a tool. Step 1: Image Preprocessing (Critical but Ignored) Before OCR, clean the input.…