New to LEADTOOLS? We've added some specific demos to GitHub to make it easier for you get started using our SDKs. We're going to highlight some of these in various blog posts over the next few weeks. First up, our Barcode demo for .NET. Powered by LEADTOOLS machine learning engine, the LEADTOOLS Barcode libraries provide a fast, robust, and easy-to-use API to detect, read, and write 1D and 2D barcodes.

LEADTOOLS will be presenting at the Solutions Showcase at AIIM this year. This will be the second year in a row that we have had the opportunity to present and demonstrate specific LEADTOOLS functionalities. With Version 21 on its way, we want to show off one of the newest additions to the SDK.

This showcase will focus on showing how to automatically redact values found by leveraging machine vision and key-value extraction. One goal we have with this feature is to show attendees how it can help transition offices to a paperless office and smooth out their day-to-day document needs. Powered by proprietary machine learning algorithms and the patented LEADTOOLS OCR Engine, this automatic redaction will work on all types of input documents, meaning there is no task this feature won’t be able to handle.

Support recently received a request for a simple C# sample that would

• detect a MICR in an image
• and return the MICR code as a string.

The protection of privacy is at the forefront of concerns for many organizations that need to distribute information. One way to do this is to redact private information from an image or document before releasing it. Recently we had a customer ask how to do this with LEADTOOLS.

Using LEADTOOLS, a user would load an image or a document as an image, use the redaction annotation object to "black-out" the text, and then burn the redaction into the image. Once the protected information is redacted, the image can then be saved as a text searchable PDF so the remaining text can be indexed or searched.

Following up on my last post, Convert an Image to Black & White PDF, I have updated the project to include a third method that converts document and vector formats to PDF. This conversion uses SVG as an intermediate format and does not require OCR, which results in perfect text accuracy.