Automated bank data extraction software can help make the underwriting process a whole lot easier compared to manual data entry. This is made possible with the use of Optical Character Recognition (OCR), Machine Learning, and AI to efficiently scan and understand documents and images. In this way, document data extraction software can help you turn images and pdf files into usable, actionable data seamlessly.
To make your search easier, we have picked the top 5 best bank statement processing software available in the market today.
CaptureFast does have a lifetime free version that lets you process a limited number of documents. These are their paid plans:-
Docsumo makes it possible to easily extract data from scanned/non-scanned images and pdf files. You can process large amounts of underwriting documents with more than 99% accuracy. Straight through processing for a number of loan underwriting documents such as tax documents, P&L documents, bank statements, and invoices is achievable over 90% using Docsumo.
The amount of flexibility that Docsumo offers means that you don't need to limit yourself to defined templates for bank statements to process. Process statements from multiple banks in multiple layouts and templates
Schedule a free demo with us and let's find out how Docsumo can help you automate bank statement processing!
In today’s dynamic business world, filing and archiving official documents in the digital form makes it handy, and works wonders in the future or in unforeseen circumstances.
In this blog, we gather collective insight into industry-best OCR software and draw a comparison. We're not trying to determine the best OCR solution in the industry but help you familiarize you with different features of most-popular automated data extraction solutions and help you find the most suitable one for you.
In this blog, we focus on invoice data capture using fast driven technologies like OCR and Artificial Intelligence and help businesses to find faster ways to capture data from invoices and reduce manual efforts. By the end of the article you’d be able to figure out the better algorithm to process invoice data.
Despite dedicating a whole lot of resources to manual data extraction for businesses, it could result in slower turn-around time, especially if the number of documents processed per month is simply too high. There’s always the angle of ‘human error’ involved with manual document processing. So, if you’re trying to automate data extraction for your business but you cannot find a vendor to help you with, this article is for you.