Some things you just have to see to believe, and we think that LEADTOOLS V19's new Invoice Recognition and Processing SDK is one of them. Now you can in our latest YouTube video!

If you have any familiarity with Forms Recognition and/or OCR, you may understand that those technologies typically rely on the master template and the document you wish to recognize having the same layout and proportions. Tax forms and applications fit this nicely since as long as the documents can get cleaned up and aligned, the zones and fields on the form to recognize will easily be found. Invoices, bills and other unstructured documents need special processing which LEADTOOLS masterfully developed and exposed in this new programmer-friendly toolkit. We hope you enjoy the video!

Automate your data entry problems away with a state-of-the-art forms processing API. Whether you're working with customer surveys, tax documents, or billing records every industry uses forms daily to conduct business. Moving data from a paper to a digital medium can be a time consuming hassle. That's why LEADTOOLS has developed exclusive capabilities that extract text from images containing any combination of machine-printed text, handwritten text, MICR, MRZ, and OMR fields. LEADTOOLS will automatically detect and recognize everything! Below are the main steps to quickly and accurately process various form types regardless of how the data is formatted.

Happy New Year, and what better way to start off the 2020 year than with 20/20 computer vision. Companies receive paper forms for gathering client's information every day. But how are these companies recognizing this data, or are they manually entering the data themselves? Let's say you're dealing with invoices, and you receive hundreds a day. There's no need to waste time entering different names and numbers when a computer can do it all for you within seconds.

Optical Mark Recognition (OMR) is an important part of forms recognition but can be surprisingly complex. On the surface, it looks easy to detect whether a box is filled or unfilled by just counting the pixels. While that may be true for the small area, how do you handle an image with hundreds of checkboxes like a multiple-choice exam sheet or survey?

This post is part of our 2017 Developer App Series, which showcases apps created by our Support Agents over the course of eight weeks. These apps are intended to be larger, more thoughtful apps with highly practical purposes in mind, as opposed to a basic "how to" for a feature.

App Description

This project from Roberto will use the LEADTOOLS Image Processing Segmentation command and Auto Zoning capabilities to take in an image/file/document and automatically create a master template for use in forms recognition. The template will be created based on the AutoZone results and will also give the user the ability to "blank" out the master form by filling in the auto-zoned areas with white in order to help increase the recognition results, since using a blank form is desired.