Abstract: This disclosure describes techniques for automated data extraction, validation, and routing based on unstructured text data. In some cases, the techniques described herein include receiving text data, segmenting the text data into multiple segments, assigning each segment to a category, generating a prompt for each segment based on the segment's category, extracting field values from each segment using the generated prompt, validating or rejecting the extracted field values based on category-specific validation rules, and routing the validated field values to category-specific target databases and/or reviewer platforms based on the validation results.

Abstract: This disclosure describes techniques for automated data extraction, validation, and routing based on unstructured text data. In some cases, the techniques described herein include receiving text data, segmenting the text data into multiple segments, assigning each segment to a category, generating a prompt for each segment based on the segment's category, extracting field values from each segment using the generated prompt, validating or rejecting the extracted field values based on category-specific validation rules, and routing the validated field values to category-specific target databases and/or reviewer platforms based on the validation results.

Abstract: System and methods are disclosed for matching extracted text data based on one or more similarity scores. The method may include receiving one or more documents from a plurality of data sources, utilizing an optical character recognition algorithm for extracting text data from the one or more documents, comparing, utilizing a fuzzy matching algorithm, the extracted text data to reference dataset(s) to determine one or more matches between the extracted text data and at least one of the reference dataset(s), wherein the one or more matches are based on at least one similarity score, inputting the determined one or more matches and the at least one similarity score into a trained machine-learning model to refine the one or more matches, and outputting a representation of the refined one or more matches and the at least one similarity score to a graphical user interface of a device.