Base64 Technology

Filing date: February 7, 2024
Application number: 18/433280

The present invention provides apparatuses, systems, and methods directed to document data extraction to facilitate searching. In one aspect of the inventive subject matter, a method of extracting searchable content from an uploaded document is contemplated, the method comprises the steps of: extracting document content from the uploaded document, the document content comprising field labels having associated field content; indexing the document content according to a taxonomy (e.g., user-defined or built-in) to create key-value pairs, where the taxonomy comprises a set of known keys that field labels can be mapped to, and where each key-value pair comprises a field label matched to a key and field content matched to a value; conducting OCR on the uploaded document to extract text content; transforming, using a large language model (LLM), the text content to create LLM generated key-value pairs; and storing the key-value pairs and the LLM generated key-value pairs to a database.

Filing date: June 29, 2023
Application number: 18/344141

The present invention provides apparatuses, systems, and methods directed to AI systems that are able to classify and verify documents that are present in files that are uploaded to the system. In one aspect of the inventive subject matter, a method of using an artificial intelligence (AI) system to classify documents comprises the steps of: receiving, at a platform server running the AI system, a file comprising a document; conducting optical character recognition (OCR) on the document to extract text content of the document; identifying a document candidate based on the text content, where the document candidate has an expected document shape; detecting a shape of the document in the file; and classifying the document at least in part by determining whether the shape of the document matches the expected document shape; upon determining that the shape of the document matches the expected shape, verifying that the document candidate is correctly classified.

Filing date: June 17, 2023
Application number: 18/336888

The present invention is directed to apparatuses, systems, and methods that use artificial intelligence to facilitate document segmentation. Document segmentation can be useful to isolate multiple documents that are included in, e.g., a single image so that each document can be processed individually. In one aspect of the inventive subject matter, a method of document segmentation using artificial intelligence (AI) includes the steps of: receiving, by an AI system, a file comprising an image of a first document and a second document; converting, by the AI system, the file into a tensor; applying a deep learning model to the tensor to create a mask image from the tensor, where the deep learning model has been trained using a training set of images having ground truth masks and where each image in the training set comprises at least two documents.

Filing date: June 16, 2023
Application number: 18/336888

The present invention provides apparatus, systems, and methods directed to artificial intelligence systems that are capable of determining whether a driver’s license or ID card from one of the states of the United States is Real ID compliant or an Enhanced ID. In one aspect of the inventive subject matter, a method of using artificial intelligence to identify visual indicators on identification cards and driver’s licenses includes the steps of: receiving, by an artificial intelligence system via upload, a digital file, where the digital file comprises a document that is either an identification card or driver’s license from one of the states of the United States.

Filing date: April 26, 2023
Application number: 18/307682

The present invention provides apparatuses, systems, and methods directed to AI systems that are able to classify and verify documents that are present in files that are uploaded to the system. In one aspect of the inventive subject matter, a method of using an artificial intelligence (AI) system to classify documents comprises the steps of: receiving, at a platform server running the AI system, a file comprising a document; conducting optical character recognition (OCR) on the document to extract text content of the document; identifying a document candidate based on the text content, where the document candidate has an expected document shape; detecting a shape of the document in the file; and classifying the document at least in part by determining whether the shape of the document matches the expected document shape.