Over the past two years, the field of Artificial Intelligence (AI) has been advancing at an incredible pace. While much attention has been given to large language models like ChatGPT, there have also been considerable advancements in document processing. These advancements have brought us new solutions that deliver impressive improvements in data extraction. We are now entering an era of information extraction, more than data extraction.
Effective management of technical documents is crucial for the smooth operation, efficiency, and responsiveness of industrial companies. The quality and availability of information within these documents directly impact the performance of operations, maintenance, and engineering teams. However, managing technical documents has always been a complex and resource-intensive task. Fortunately, with the recent advancements in AI algorithms, a new era in technical document management has emerged, offering higher data quality, faster access to information, and ultimately, more efficient operations and robust internal processes.
Identifying and extracting handwritten information is still a challenge in the scanning process. The reasons for that are plenty: original documents may have poor quality as paper deteriorates easily; notes may have been written on the fly; signatures are almost always unreadable (not to mention that half of the population writes "1" as if it were "7" and the other half writes "7" as if it were "4"!) All jokes aside, let’s face it – we don't concentrate on having good handwriting when filling in forms, and most of the time we don't write within the text fields on the document.
