Literacy rate 96.77%! High-precision document reading through deep learning!
Are you facing such challenges? ■ Do you want to automatically digitize handwritten delivery notes and order forms? ■ Do you want to digitize paper documents for efficient storage and utilization? ■ Is the character recognition accuracy of conventional OCR too low for digital utilization? 【We can solve this with NSW-ORC!!】 By utilizing AI-powered OCR, we can read all types of characters with high accuracy and make them usable as digital information. We also support pre-processing for OCR, data transfer to OCR, and data management after CSV output, enabling paperless operations in factories and improving business efficiency.
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basic information
【What is NSW-OCR】 A service that automatically recognizes and digitizes handwritten documents and paper forms using "AI-OCR." 【Features】 ■ High Accuracy By training on a vast array of patterns, including various fonts, we achieve high reading accuracy through deep learning! ■ Literacy Rate The AI, which has learned to interpret difficult individual characters, selects the characters it deems optimal, achieving a literacy rate of 96.77%! ■ Automatic Correction By referencing various databases such as addresses, bank names, and English words, the system automatically corrects errors like kanji mistakes in the read data! 【Ongoing Campaigns】 ■ Free Reading Campaign → Provide sample forms, and we will return the digitized files. ■ Free TRY Campaign → We will issue a demo user so that customers can experience the functions and effects firsthand.
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Delivery Time
P3
Applications/Examples of results
【Case Studies】 ■ Cash Voucher Processing → Automatically processes paper application forms and usage records by reading them with NSW-OCR, creating lists, aggregating, and converting data. ■ Order Processing Automation → Outputs and processes data from orders received via postcards, FAX, and the web, and imports it into a different order system. ■ Automation of Operating Data Aggregation in Production Sites → Automates the data entry tasks for analysis tools from handwritten daily work reports. ■ Automation of Security Operations → Receives suspicious email information (as images). Since the information is received as images, it uses OCR to convert the sender, subject, attachments, and URLs into text and lists them. ■ Efficiency Improvement in Benefit Application Processing → Automatically creates lists and converts to transfer formats from application forms received via FAX and email.
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Company information
Since our founding in 1966, we have expanded our business areas in response to the demands of the times, evolving from software development to device development, then to system integration, and further into cloud services centered around data center operations. What has remained consistent since our inception is our customer-oriented approach, which emphasizes that "the center of business is always the customer, and we work in unison with our customers," along with our people-focused philosophy of "maximizing the potential of each employee." We also consider our commitment to CSR aimed at realizing a prosperous society to be an important mission, and we are dedicated to social contribution activities such as resource and environmental conservation efforts, community beautification initiatives, blood donation, and support for disaster victims. Our corporate philosophy, "Humanware By Systemware," embodies our desire to "enrich society through excellent systems." Moving forward, we will continue to leverage our technology, knowledge, and creativity to create "valuable systemware" that meets the needs of the new era and earns the trust of our customers, shareholders, and society.