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·7 min read

OCR Pipelines for Real, Messy Documents

Lessons from building Samiksha: extraction, structure analysis, validation, and human-in-the-loop review.

OCRDocument AI

Real documents are messy Scans, rotations, tables, and inconsistent layouts break naive OCR.

The pipeline that worked 1. Extraction with layout awareness 2. Structure analysis to recover meaning 3. Validation rules + LLM review 4. Human-in-the-loop for edge cases

Takeaway The model is one stage. The pipeline is the product.

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