Webinar Held on the Theme: "To What Extent Can Document Transcription Be Automated with Generative AI x AI-OCR?"

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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 reduced. Copying and pasting read data from a screen, or outputting to CSV and then further aggregating or reformatting it into a dedicated format—these methods merely change the form of the transcription work. Only by designing the entire process from reading to confirmation, output, and system integration as a single workflow can transcription work truly be brought close to zero. This seminar will explain the technical advancements of next-generation AI-OCR and the operational design for its successful implementation in the workplace, with concrete use cases.

Recommended for the Following Individuals Those who want to reduce transcription work for handwritten forms, faxes, and scanned PDFs. Those who have tried OCR in the past but found it difficult to implement due to accuracy or setup burdens. Those who have given up on OCR introduction because form formats differ for each business partner. Those who want to extract only necessary items from multi-page forms. Those who want to link data read by AI-OCR to Excel or core systems. Those in accounting, general affairs, order processing, manufacturing, construction, or DX promotion departments considering efficiency improvements in form operations.

Organizer/Co-organizer BOC Inc.

Cooperation Majisemi Inc.

Details and Registration Here

Majisemi will continue to hold webinars that are "useful for participants."

Past seminar presentation materials and other upcoming seminars can be viewed ▶here.

Majisemi Inc.

3-12 Kioicho, Chiyoda-ku, Tokyo 102-0094 Inquiries: https://majisemi.com/service/contact/