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The amount of flexibility that Docsumo offers means that you don't need to limit yourself to defined templates for bank statements to process. 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. You can process large amounts of underwriting documents with more than 99% accuracy. Document publishing via Quickbooks, Excel, and moreĭocsumo makes it possible to easily extract data from scanned/non-scanned images and pdf files.Phone number extraction, bank details extraction and more.Data extraction from images, bank statements, legal documents, and more.Related : Is Docsumo a good alternative to Docparser? 5. Enterprise - More than 10,000 Documents / month.Growth - Up to 10,000 Documents / month ‍.This is so far the easiest solution in the data extraction industry. They built dozens of templates covering all popular websites, which are ready-to-use preformatted crawlers. Free Trial - 100 credits to test features Actually, this is an advanced feature of the industry-leading free data extractor Octoparse.Improved integration features coming soon.Multiple learning methods to ensure accurate data capture.Data validation rules to ensure high STP rate.Key-value pair and line item extraction.Convert pdf bank statements to excel/csv/json.Rare inaccuracies can occur while scanning unclear or obscure data.Download extracted data in csv format or as an excel file.Scan PDFs, legal documents, bank statements, and more.Without further ado, here they are, in no particular order - Top bank statement data extraction software in 2021 1. To make your search easier, we have picked the top 5 best bank statement processing software available in the market today. In this way, document data extraction software can help you turn images and pdf files into usable, actionable data seamlessly. This is made possible with the use of Optical Character Recognition (OCR), Machine Learning, and AI to efficiently scan and understand documents and images. Nevertheless, it is not practical for coders who are in their early programming career and lack profound knowledge on web crawling.Automated bank data extraction software can help make the underwriting process a whole lot easier compared to manual data entry. For experienced programmers with years of practice in data extraction, this is a good solution since they can build highly customized crawlers with these frameworks/libraries. Some Python frameworks/libraries like Scrapy and Beautiful Soup can also help build crawlers and extract the Google Maps data. Take Advantage of Python Framework/Library In this case, it’s not feasible to extract data on a large scale. Sometimes the data output could be only a. What’s more, the final result of extraction highly depends on the quality of the original open-source project.

Sometimes, Google Maps changes the structure of its website but the codes lack maintenance, which may also be an obstacle in your extraction process. The disadvantage of this solution is that even though most of the code has already been written, you still need to know the rudiments and write some codes to run the project successfully. A great example is this Google Maps project written in Node.js. Since the projects were created by other developers before, you don’t need to build a scraper from scratch, which saves you a lot of time and energy. On this platform, there are numerous open-source projects shared by developers worldwide and you can make good use of them. Github Open-source ProjectsĮvery programmer knows Github, which is the world’s leading software development platform. With just a few clicks you can run any of the over 60,000 data extraction rules in the tool or create your own customized.

However, if you’ve got some coding experience and you are confident with your programming ability, here are more options you can consider. If you are a non-coder, they would be great solutions for you. To extract Google Maps data with the above 3 methods, users don’t need to know how to code.