NanonetsĪnother great example of an OCR platform that is based on artificial intelligence, Nanonets is capable of automating data capture for virtually any document or image out there, as well as ID cards and low-quality documents. Once you’ve finished creating your parsing rules, you can then pull the text you need from those documents and send that data to a wide range of third-party platforms, from Google Sheets to Microsoft Word and more. To use Docparser, all you have to do is scan a printed document and transfer it to your account on the Docparser platform. This platform boasts the ability to directly parse text from PDFs, Microsoft Word documents, and so much more. Docparserĭocparser is a popular and well-trust OCR tool. If your business invests a lot of time into the data processing of handwritten documents like applications and forms, then AWS Textract may not be a good solution for your needs. In fact, AWS Textract isn’t really ideal for handwritten documents at all. Just as well, the accuracy of your documents might vary, especially for scanned documents that are messy or handwritten. Despite being basic in machine learning, it’s not possible to train AWS Textract. It’s also incredibly easy to use, with little in the way of a learning curve. You’ll only pay for how much you use AWS Textract. This tool uses a pay-per-use payment model, so you won’t have to worry about overpaying for your product. AWS Textract is also a fantastic tool to use for identifying and understanding data that is in table form, which has historically been a roadblock for OCR technology. This platform is capable of automatically extracting text and relevant data from scanned paper documents through the use of machine learning, AI, and OCR technology.
#Picture text recognition software software#
AWS TextractĪWS Textract is one of the more well-known OCR software platforms out there, and for good reason. Still, you can’t beat Google Document AI’s speed and integration-friendliness, which makes it worth trying out. Just as well, it’s notably more expensive than other similar OCR platforms. Customization is quite difficult, and without that valuable documentation, figuring it out can be a lost cause. The current AI modules don’t have the best documentation. While we recommend this tool if you have a Google-based tech stack, there are some downsides to Google Document AI. This platform is also very easy to implement regardless, stores data safely within the cloud, and is quite fast. To start, if you already use mostly Google products in your tech stack, implementation is extremely easy. There are a lot of benefits to Google Document AI. DocAI is a type of document processing platform that utilizes machine learning to analyze, extract, and unlock data and provide data insights from physical documents. Google’s Document AI product is an excellent solution that is part of the overall Google Cloud AI suite.
You can’t go wrong with one of the most trustworthy platforms available. Get started by Signing Up or Scheduling a demo 2. FormX uses AI to automate data extraction from any physical documents.
FormX is probably one of the best platforms you could use for data processing. The 5 Best OCR Platforms of 2021 What is OCR Software / OCR Engine?įormX provides a desktop app for non-developers to batch-process their imagesįor those without developers, FormX provides a desktop app that can parse images and PDFs into Excel spreadsheets in batch. In this guide, we’ll explore five of our favorite OCR software, so you can make a more informed decision about your newest addition to your organization’s tech stack. However, not all OCR software is equally as good. Even scans that are badly formatted and handwritten paperwork, today’s OCR software can process such documents with ease. Today’s OCR software vendors can provide ultra-fast and highly accurate document processing. OCR isn’t a brand new technology, but it’s worth noting that the modern version of OCR software is very robust. Each document can be easily saved in a variety of formats that can be edited as needed and fit into workflows easily. OCR platforms are capable of automating the data entry process by scanning documents and photos to digitize the information in those documents.
#Picture text recognition software verification#
OCR software is a digital solution that helps organizations save time and money that would traditionally be spent on things like verification processes and data entry.
This led to a notoriously high occurrence rate of errors.
A focus on digital innovation can help businesses scale, and OCR software has been a big part of modern digitization in organizations.īack in the old days, office workers had to constantly scan, process, and fax documents like invoices and images by hand. Companies and organizations around the globe are focusing on digitizing their businesses.
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