Machine-learning models for image processing

A system for client-side validation of document-imagery for remote processing, the system comprising:

• a mobile client device associated with an end-user comprising at least one processor and a camera, configured to:
• obtain, by the camera of the mobile client device associated with an end-user, video data comprising a plurality of frames including a document of a document type of the document;
• execute a computer vision engine of a machine learning architecture to execute a spatial transform of the document to align the document with predefined boundaries conformed to the document;
• generate a document validation score based on the transform indicating a likelihood that the document is a valid document based upon a dimension similarity between the document and the document type of the document, wherein the dimension similarity is based on a deviation between a set of boundary dimensions of the document and a set of predefined dimensions having a plurality of expected boundaries for the document type of the document;
• and
• in response to validating the document based on determining that the document validation score satisfies a document validation threshold,
• generate an operation instruction for a backend server, the operation instruction including device metadata indicating the mobile client device and a packaged image as extracted from the image data of at least one frame of the plurality of frames of the video data.