Deep Learning

Enhancing AI Invoice Processing with Innovative Language Model LiLT

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Published on:
Jan 30, 2024

Jonathan Grandperrin

Jonathan Grandperrin


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Leading AI OCR Technology for Advanced Document Processing

At Mindee, we have always been at the forefront of AI OCR technology, constantly evolving to meet the diverse needs of our clients. Today, we're thrilled to announce a significant enhancement to our OCR capabilities - the integration of the cutting-edge Language-Independent Layout Transformer (LiLT) into our algorithm pipeline. By integrating LiLT into our OCR system, we're setting a new standard in extracting supplier information.

This development promises to revolutionize invoice processing and supplier data extraction, offering a better performance across multiple languages and regions.

The Integration of Language Model LiLT: Elevating Our Multilingual Capabilities

Our commitment to excellence led us to LiLT, a language model known for its exceptional ability to process and understand documents in multiple languages, emerged as the perfect solution. By integrating this language model, we've equipped our system to interpret the nuances of layout and textual information, ensuring a deeper, more contextual understanding of supplier information within invoices.

Unmatched Accuracy in Supplier Information Extraction: A Game-Changer for Procurement

The primary benefit of LiLT is its remarkable accuracy in extracting supplier information.

Traditional OCR systems often struggle with the diverse layouts and intricate details of supplier documents, especially when operating across different languages and regions. With LiLT, we've observed a significant improvement in accuracy rates. This means fewer errors, less manual intervention, and more reliable data for your procurement processes.

A stack of invoices waiting for OCR processing sits on a desk

Enhanced Performance & Geographic Versatility: Global OCR Solutions

One of the most exciting outcomes of integrating LiLT with our existing computer vision models is the substantial gain in overall performance and geographic robustness. Our OCR technology is no longer just a tool for reading text; it's a sophisticated system that understands the global nature of business documents.

Whether you're dealing with invoices in English, French, or Spanish, our OCR system now adapts seamlessly, ensuring consistent accuracy and efficiency.

Merging Computer Vision and Language Understanding

The integration of LiLT with our full computer vision pipeline is a strategic advancement that combines the strengths of both technologies. Our existing computer vision system excels at detecting and interpreting visual elements in documents, while LiLT brings an advanced understanding of layout and language.

Together, they create a more holistic and nuanced understanding of invoice documents. This synergy allows us to process a broader range of invoice formats with greater accuracy, catering to the diverse needs of global clients.

Empowering Global Businesses: Streamlined and Cost-Effective OCR Solutions

This enhancement is more than just a technological advancement; it's a gateway to global business efficiency.

With the improved OCR capabilities, businesses can now automate their supplier information extraction processes with confidence, regardless of the document's origin or language. This means faster processing times, reduced costs, and the ability to focus on what truly matters - growing your business.

Conclusion: Pioneering the Future of AI OCR Technology

At Mindee, we are committed to pushing the boundaries of AI OCR technology. The integration of LiLT into our algorithm pipeline is a testament to this commitment, setting a new standard in the industry. Get in touch to experience the power of this technology firsthand.

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