Invoice data Extraction Using LLM and OCR

Abstract: Invoice processing is a crucial but time-consuming task for businesses, especially when done manually. It often leads to errors and inefficiencies, particularly for companies dealing with large volumes of documents. To solve this, automated data extraction systems use Optical Character Recognition (OCR) and Large Language Models (LLM) APIs. OCR converts scanned invoices into readable text, extracting details like invoice numbers, dates, and amounts. LLMs improve accuracy by understanding the context, handling uncertainties, and automating decisions. Together, OCR and LLMs streamline invoice workflows, cut costs, and speed up processing, making them valuable for financial operations across industries.

Authors

Institutions

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-16
DOI
https://doi.org/10.22214/ijraset.2025.70815
Primary Topic
Advanced Computational Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Invoice data Extraction Using LLM and OCR

Lata Gawade
International Journal for Research in Applied Science and Engineering Technology
Advanced Computational Techniques and Applications
article

Invoice data Extraction Using LLM and OCR

Lata Gawade
article en

Abstract

Abstract: Invoice processing is a crucial but time-consuming task for businesses, especially when done manually. It often leads to errors and inefficiencies, particularly for companies dealing with large volumes of documents. To solve this, automated data extraction systems use Optical Character Recognition (OCR) and Large Language Models (LLM) APIs. OCR converts scanned invoices into readable text, extracting details like invoice numbers, dates, and amounts. LLMs improve accuracy by understanding the context, handling uncertainties, and automating decisions. Together, OCR and LLMs streamline invoice workflows, cut costs, and speed up processing, making them valuable for financial operations across industries.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Kerala School of Mathematics (IN)
Openalex Percentile: Top 95%
Advanced Computational Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.