The comparative analysis of IDP intelligent document processing models presented by Businessware Technologies has become an important contribution to the development of document automation technologies. Modern companies are faced with a huge volume of paper and digital documentation every day: invoices, consignment notes, contracts, certificates and other forms require accurate, fast and secure data extraction. This is where intelligent document processing based on the capabilities of large language models and machine learning algorithms comes to the rescue.
The main goal of the comparative analysis of models
Businessware Technologies AI invoice processing regularly tests popular AI models on real cases using documents that differ in structure, language and format. The goal is to determine how effectively a particular model copes with the task of recognizing and extracting information. The key evaluation criteria are accuracy, processing speed and cost. For example, when comparing models:
- Amazon Textract;
- Azure Document Intelligence;
- Google Document AI;
- GPT-4o and others.
Experts assessed how well they recognize headings, text blocks, tabular data and structured fields, as well as how correctly they interpret various invoice layouts.
Innovative approach
Businessware’s innovative approach is to use an ensemble of models — a method in which the results of several AI systems are compared with each other, and the final conclusion is made based on voting. This approach allows you to compensate for the weaknesses of individual models due to the strengths of others, which is especially important in the case of non-standard or complex documents. As a result of the implementation of the ensemble architecture, the average processing accuracy increased from 85% to 95%, which significantly reduces the number of errors and the need for manual data adjustments.
The company provides monthly reports that analyze the testing results in detail. For example, the June 2025 report provides comparative data on working with tables, and the March issue provides details on processing digital invoices and accounting documents. These reports become a valuable resource for IT departments, analysts and companies interested in implementing advanced document management solutions.
