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Revolutionizing Data Input with AI PDF Structuring Technology

Irwin&co, a tech innovator based in Shibuya, Tokyo, has officially launched a groundbreaking solution designed specifically for companies seeking to enhance their data entry processes. Businesses that have struggled with traditional AI Optical Character Recognition (OCR) systems, finding them inadequate in accuracy, now have an alternative: the newly developed AI PDF structuring technology. With this new technology, Irwin&co promises an impressive data extraction accuracy rate of 99.9% even from irregular PDF formats, which may include a mix of real estate listings, legal documents, and exports from applications like PowerPoint and Excel.

The Incentive Behind the Development

In recent years, many organizations have integrated AI OCR to streamline their data entry tasks aiming for improved efficiencies and cost reductions. However, feedback from these companies often reflects disappointment due to persistent errors and the high costs associated with manual corrections. The limitations are primarily rooted in the old OCR technologies which:

• - Achieve an accuracy limit of only 90%, often processing PDFs as static images rather than understanding the document's structure.
• - Require significant human oversight to detect and correct the remaining 10% of misreads, nullifying the advantages of automation.
• - Struggle with complex documents where data layout is inconsistent, leading to challenges in accurately interpreting and organizing the information.

Irwin&co recognized these challenges and embarked on an innovative approach to developing a solution that addresses these shortcomings head-on.

Introducing the AI PDF Structuring Technology

Unlike traditional OCR, which treated PDFs merely as 'images,' Irwin&co's technology comprehends the information within PDFs as structured documents with meaning. This dual approach utilizes:

• - Direct Extraction for Textual PDFs: Achieving near-perfect accuracy by extracting underlying text and organizing the data contextually.
• - Hybrid Processing for Scanned PDFs: Applying image recognition only to those PDFs that contain scanned data.

This hybrid method culminates in an exceptional overall accuracy rate of 99.9% in reading capabilities, marking a significant departure from previous OCR limitations.

Key Features of the New Technology

1. Enhanced Accuracy Through Contextual Understanding: Utilizing generative AI, the system interprets the relationships between headings and numerical data. This means it doesn’t just extract text but deduces the purpose of each number, thereby converging accuracy to a human-like standard.
2. Adaptability to Various Formats: The system can navigate irregular layouts inherent to real estate listings and mixed-format documents (PowerPoint, Excel, etc.), intelligently distinguishing and extracting precise information from diverse sources.
3. Substantial Reduction in Labor Costs: Tasks that previously required thorough manual verification and adjustments can now almost entirely be automated, greatly minimizing the time and resources needed for data input.

Real-world Implementation: Streamlining Real Estate Data Processing

One striking illustration of the technology's impact is in real estate data processing, particularly with irregular data submissions. Prior to implementing this system, companies were required to employ multiple data entry specialists to manage volumes of inconsistent documents:

• - Initial Input Process: Data entry staff would manually drag and drop documents into the system
• - AI Processing: The system identifies whether the file is textual or scanned, instantly categorizing it for efficient processing.
• - Results: For 99% of textual data, it achieves an impressive reading accuracy of nearly 100%, with only 1% of scanned documents remaining to be processed through traditional OCR methods, thus keeping the overall error rate minimal.

Next Steps for Interested Businesses

Irwin&co offers a structured approach to onboarding potential clients:
1. Introductory Meeting and Demonstration: Discuss specific challenges and assess document types relevant for each business.
2. Trial Testing: Companies can evaluate the reading accuracy and functionality with their actual data.
3. System Integration and Launch: Irwin&co will assist in creating operational workflows and linking systems to ensure a seamless transition.

Company Background

Irwin&co operates under the philosophy: 'Not just AI that is implemented, but AI that delivers results.' Established in June 2025, this dynamic company focuses on consultancy and system development utilizing generative AI, with a dedicated team committed to driving advancements in the field.

Contact Information

For more inquiries, please reach out to:

• - Irwin&co Inc.
• - Representative: Arwin Kai
• - Contact Person: Kotaro Tanaka
• - Email: [email protected]
• - Phone: 090-1545-1708
• - Website: Irwin&co

In conclusion, with innovative solutions like AI PDF structuring, Irwin&co is not just enhancing data processing efficiencies but is setting a new standard in the world of AI and automation for businesses globally.