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arXiv · 2507.07029

Design and Implementation of an OCR-Powered Pipeline for Table Extraction from Invoices

Parshva Dhilankumar Patel
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Abstract

This paper presents the design and development of an OCR-powered pipeline for efficient table extraction from invoices. The system leverages Tesseract OCR for text recognition and custom post-processing logic to detect, align, and extract structured tabular data from scanned invoice documents. Our approach includes dynamic preprocessing, table boundary detection, and row-column mapping, optimized for noisy and non-standard invoice formats. The resulting pipeline significantly improves data extraction accuracy and consistency, supporting real-world use cases such as automated financial workflows and digital archiving.

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Parshva Dhilankumar Patel. 2025-07-09. Design and Implementation of an OCR-Powered Pipeline for Table Extraction from Invoices. https://arxiv.org/abs/2507.07029

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