Semantic Invoice Processing Solution

Crayon's Semantic Invoice Processing Solution utilizes Azure AI Document Intelligence to extract data from invoice documents. This data is then processed through Crayon's proprietary pipeline of language models from the GPT-family to achieve highly accurate information extraction with a lower error rate compared to traditional methods. This advanced solution provides entity extraction in combination with a semantic understanding of line items, quantities, and product/service information, and classification, thus significantly improving accuracy and efficiency in processing invoices.

Outcome:

• Achieve near 100% accuracy in information extraction from invoices. • Gain a semantic understanding of line items, quantities, and product/service information. • Enhance the efficiency and accuracy of information extraction from semi-structured documents.

Key Solution Features:

• Input: Capable of handling any vendor-specific invoice format globally. • Output: Provides extracted data formatted to the desired customer schema. • Memory-less solution: Ensures input documents are not stored, maintaining data privacy. • Elasticity: Scalable to process thousands of documents per hour. • Training: No additional AI training required for extracting invoice information. • Development Efforts: Zero code platform. • Connectors: Supports 100+ pre-built Power Automate connectors. • Identity & Access Management: Integrates with Microsoft Entra ID. • Anomaly Detection: Binary classification and description of anomaly for each invoice

Gains:

• Achieve near-perfect information extraction from invoices with no human intervention. • Ensure consistent extraction regardless of changes in customer invoices. • Reduce human interventions to edge cases in the target downstream system. • Enable real-time processing of each invoice, significantly reducing cycle times. • Minimise overhead costs, with the cost per invoice processed reduced to the cost of the solution.