Image Evaluation and Dynamic Cropping System

A method, comprising:

• at a computing platform comprising at least one processor, memory, and a communication interface:
• extracting, by the at least one processor and from an image of a document, identifying information;
• retrieving, by the at least one processor and based on the extracted identifying information, a document profile;
• extracting, by the at least one processor and from the document profile, expected data of the document;
• comparing, by the at least one processor, data of the document in the image of the document to the extracted expected data of the document;
• determining, by the at least one processor and based on the comparing, whether an anomaly exists between the data of the document in the image and the extracted expected data of the document;
• responsive to determining that an anomaly does not exist, evaluate validity of the document based on the image of the document;
• and
• responsive to determining that an anomaly exists:
• programmatically modifying, based on one or more machine learning datasets and by the at least one processor, the image of the document;
• generating, by the at least one processor, a modified image of the document based on the programmatically modified image of the document;
• and
• evaluating, by the at least one processor, validity of the document based on the modified image of the document.

One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, memory, and a communication interface, cause the computing platform to:

• extract, from an image of a document, identifying information;
• retrieve, based on the extracted identifying information, a document profile;
• extract, from the document profile, expected data of the document;
• compare data of the document in the image of the document to the extracted expected data of the document;
• determine, based on the comparing, whether an anomaly exists between the data of the document in the image and the extracted expected data of the document;
• responsive to determining that an anomaly does not exists, evaluate validity of the document based on the image of the document;
• and
• responsive to determining that an anomaly exists:
• programmatically modify, based on one or more machine learning datasets, the image of the document;
• generate a modified image of the document based on the programmatically modified image of the document;
• and
• evaluate validity of the document based on the modified image of the document.