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Vendor-Agnostic Invoice Processing Framework: Integrating OCR, Canonical Modeling, and Human-in-the-Loop Validation

by Homi Dhumal, Harsh Dixit, Manav Shah
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 90
Year of Publication: 2026
Authors: Homi Dhumal, Harsh Dixit, Manav Shah
10.5120/ijca2026926589

Homi Dhumal, Harsh Dixit, Manav Shah . Vendor-Agnostic Invoice Processing Framework: Integrating OCR, Canonical Modeling, and Human-in-the-Loop Validation. International Journal of Computer Applications. 187, 90 ( Mar 2026), 30-35. DOI=10.5120/ijca2026926589

@article{ 10.5120/ijca2026926589,
author = { Homi Dhumal, Harsh Dixit, Manav Shah },
title = { Vendor-Agnostic Invoice Processing Framework: Integrating OCR, Canonical Modeling, and Human-in-the-Loop Validation },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2026 },
volume = { 187 },
number = { 90 },
month = { Mar },
year = { 2026 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number90/vendor-agnostic-invoice-processing-framework-integrating-ocr-canonical-modeling-and-human-in-the-loop-validation/ },
doi = { 10.5120/ijca2026926589 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-03-20T22:55:35.604969+05:30
%A Homi Dhumal
%A Harsh Dixit
%A Manav Shah
%T Vendor-Agnostic Invoice Processing Framework: Integrating OCR, Canonical Modeling, and Human-in-the-Loop Validation
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 90
%P 30-35
%D 2026
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Automated invoice processing still faces ongoing unresolved difficulties that could be related to non-standardized format, inaccuracy of optical character recognition, and the need to maintain the financial integrity as well as the audit compliance. Current academic and commercial solutions do not fully address the issues and an integrated approach to ensure numerical inaccuracy, regulatory compliance, and auditing is not developed. To overcome this weakness, this paper proposes a validation-based pipeline of invoice processing, combining OCR extraction, canonical data modelling, and carefully organization human-in the-loop validation controls. It is a pipeline that normalizes the extracted fields to a vendor-neutral schema to ensure a seamless interoperability of enterprise resource planning and imposes arithmetic and accounting validation constraints. Experimental evaluation has shown improved retrieval of financial information and reducing numerical inconsistencies caused by OCR errors.

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Index Terms

Computer Science
Information Sciences

Keywords

Document Processing (IDP) Invoice Automation OCR Canonical Data Format Accounting Rules Human-in-the-loop Enterprise Resource Planning (ERP)

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