Unlocking Dark Data

Dark Data Is Everywhere, But How Accessible Is It?

Dark data is simultaneously everywhere and challenging to access. For the past several years, Parascript has been doing research with AIIM and ARMA on dark data such as hard-to-process documents with handwriting. According to IDC, most of “big data” is actually dark data, which is commonly defined as “the information organizations collect, process and store during […]

Read More

Capturing Dark Data and Handwritten Information as Part of Your Information Governance Process

In today’s vast digital world, organizations are scrambling to better control information to meet legal, regulatory, and business requirements. Adding to the challenge is an increasing number of information sources, including online, email, and print. From each of these comes growing volumes of records, receipts, forms, email, and desktop documents and more, further amplifying the amount of information that is out […]

Read More

What is the Difference between OCR and ICR?

There are a lot of abbreviations and market-speak when it comes to the variety of technologies commercially available to solve the image-to-data problem. OCR, ICR, ACR, NHR, etc. Then there are specific applications of these technologies that further complicate things. Abbreviations like CAR/LAR, MICR, etc. So what are the major differences between OCR and ICR and […]

Read More

4 Common Misleading Myths about ICR

According to the recent AIIM research “Shedding Light on the Dark Data in your Document Capture Processes,” the use of OCR, OMR and barcode recognition is the highest level of recognition technology achieved by nearly 80% of survey respondents. While 22% are using some type of handwriting recognition, it is mostly constrained hand print in […]

Read More