Details and Registration Here ■ The Conventional Wisdom of "Handwritten Forms Are Unreadable" and "Inability to Handle Varying Formats" Is Changing Invoices, application forms, purchase orders, work reports, inspection sheets, on-site documents—companies handle a wide variety of forms. The task of checking the content of forms received as paper or PDF and manually transcribing it into Excel or core systems remains in many workplaces. "We tried OCR before, but the accuracy for handwritten characters wasn't good." "The formats differ for each business partner, so setting up templates couldn't keep up." "Ultimately, if people have to check everything, it didn't lead to efficiency." Many companies have given up on introducing OCR due to such experiences. However, OCR technology has changed dramatically in the last two to three years. ■ Next-Generation AI-OCR's Reading Method is Fundamentally Different from Traditional OCR Traditional OCR worked by "reading characters at this coordinate on the form." This required prior template setup, and the effort of recreating it every time the format changed was burdensome. Next-generation AI-OCR, like a human reading a form, looks at the entire page and finds "where the information for this item is located" on its own. Template setup is unnecessary. It is now technically possible to extract only the necessary items from forms containing handwritten characters, forms with different formats for each business partner, or documents spanning 30-40 pages. Furthermore, even with high reading accuracy, it is technically impossible to be 100% accurate. That is precisely why it is important to have a system where AI flags areas it is not confident about as "requiring confirmation" and sends them to humans, allowing for efficient checking of only necessary parts rather than a full review. ■ Not Just Reading. To Truly Approach Zero Transcription Work The value of AI-OCR is not in reading characters, but in how much transcription work can be re