Are You Still Manually Labeling Invoices?

In the world of invoice and document processing, a significant shift has occurred with the introduction of Large Language Models (LLMs). This technological advancement has fundamentally changed how businesses handle document extraction and management, particularly when dealing with invoices from multiple suppliers.

The Traditional AI Approach: A Burden on Resources

Historically, document processing AI required extensive training for each supplier format. Organizations faced numerous challenges:

• Hours spent manually entering data from invoices
• Creating and maintaining templates for each supplier format
• Training staff and systems on new document types
• High error rates requiring costly verification processes
• Delays in processing affecting cash flow and vendor relationships

Even standard invoice formats required fresh training if they hadn't been specifically included in a company's training data. This created a perpetual cycle of labeling, training, and fine-tuning that consumed valuable resources.

The LLM Breakthrough: Inherent Document Understanding

Large Language Models have revolutionized this landscape by leveraging their inherent understanding of document structures and language patterns. These models come pre-trained with knowledge about typical invoice elements, regardless of format variation. The advantages are substantial:

• Immediate recognition of standard invoice fields across suppliers
• No need for repetitive labeling exercises
• Capability to generalize knowledge across document types
• Understanding of contextual relationships between information elements
• Adaptability to new formats without explicit training

Eagle Doc: Combining LLMs with Specialized Processing

Business Impact: From Resource Drain to Operational Advantage

This technological shift transforms document processing from a resource drain into an operational advantage:

• Immediate implementation and value realization
• Dramatic reduction in setup costs and ongoing maintenance
• Ability to onboard new suppliers without processing delays
• Consistent performance across various document formats
• Reallocation of technical resources to strategic initiatives

Looking Forward: The End of Repetitive Labeling

The era of repetitive document labeling is ending. Organizations can now implement document processing solutions powered by LLMs and achieve high accuracy from the start—without the traditional burdens of extensive training data preparation.