Abstract: Artificial intelligence (AI) systems of the inventive subject matter are directed to receiving uploaded images containing one or more document, identifying the type of documents received, and returning information contained in those documents. Upon receiving an image containing a document, the AI system: checks for barcodes, OCRs any text, detects visual features, and detects an overall document shape. The AI system can then use any information gathered during those steps to ultimately verify information contained in the document.

Abstract: Systems and methods of the inventive subject matter are directed to the use of large language models to improve data extraction, storage, and searching. Specifically, platforms implementing embodiments of the inventive subject matter are configured to receive uploaded documents. Once received, the contents of the document can be extracted, and key-value pairs can be generated using that content by applying a taxonomy. For any text content that cannot be index using the applied taxonomy, the platform can apply OCR and then use an LLM to generate additional key-value pairs. Once key-value pairs are created and saved to a database, plan language user-generated search queries can be received. An LLM can once again be used to create database search queries, resulting in the ability to search though uploaded documents for specific content along with types of content.