top of page

Technology Overview

The challenge of automating data capture from documents requires advanced technologies. Gemina tackles this challenge using two powerful technologies:

  1. Advanced NLP and Deep Learning

  2. Large Language Models (LLM)


These cutting-edge approaches allow us to automatically capture a high percentage of invoice data, significantly reducing the need for manual correction and monitoring.

Invoice OCR Technology

Let's explore each of these technologies in detail:

Advanced NLP and Deep Learning:

Our core technology is based on multiple approaches such as Recurrent Neural Networks, Deep Learning, and Language Models. This set of algorithms has revolutionized data capture, similar to how it transformed primary internet services like Google Translate and the Google Search Engine in 2019.

 

Key features of our existing technology:

  • Unprecedented 85% accuracy across thousands of invoice formats and designs

  • Ability to handle complex, unstructured documents

  • Continuous improvement through machine learning and feedback loops


It's important to note that this level of sophistication comes with challenges. It requires a high level of expertise and is difficult to develop and deploy. For instance, training a single financial language model can take several weeks to complete.

 


Recent Innovation: Large Language Models (LLM)


Building on our existing advanced technology, we've recently integrated Large Language Models to further enhance our capabilities, particularly for Hebrew financial documents.

Key Features:

  • Customized instruct layer for accounting terminology

  • Fine-tuned expert layer for invoice analysis

  • Specialized Hebrew-compatible tokenizer

  • Cutting-edge scoring system for high-confidence results

Benefits of LLM integration:

  • Accuracy boost of up to 10% for key fields (Business Number, Document Number, Supplier Name, Issue Date)

  • Overall accuracy improvement from 85-87% to an impressive 90-95%

  • More reliable confidence levels for seamless system integration

  • Faster improvement cycles with our feedback loop


Considerations:

 

While our LLM-enhanced processing offers superior accuracy, it may require slightly longer processing times (4-6 seconds per document vs. 2-3 seconds for standard models). This makes it ideal for use cases where the highest level of accuracy is prioritized over immediate results.

Why Choose Gemina:

Gemina stands out as a leader in implementing these state-of-the-art algorithms, with particular expertise in Hebrew language documents. Our combination of advanced NLP techniques and cutting-edge LLM technology creates a clear competitive advantage in the Fintech sector.

We offer a unique blend of established and innovative technologies, continuously evolving to meet the challenges of modern document processing. Our commitment to innovation ensures you always have access to the most effective solutions for your business needs.

​​

Whether you're looking to leverage our standard high-accuracy services or explore the benefits of our latest LLM-enhanced processing, our team is here to support you every step of the way. Reach out to us to discuss how we can tailor our technology to your specific needs and use cases.

Have More Questions?

Contact one of our specialists and find out how our product can work for your company.

bottom of page