Speed up patient document classification and parsing using MedzyAI's Smart Document Classifier!

Our solution is a quick and secure way for healthcare professionals to streamline their patient document processing tasks, eliminating paperwork and simplifying operations.
Comply with Quebec's safety and security protocols: our solution is hosted in Microsoft's Canada-East datacenter.
Keep your data private. Our solution only stores your document's metadata: file size, file type, processing timestamp, number of pages and number of AI tokens (for billing). We do not keep any records of your documents private content.
Easily integrate with your system with our developer friendly API documentation: https://documentclassifier.medzy.ai/docs

Our latest solution (V3.2.0) can recognize 16 document types and 30 sub-types. Document types that are properly parsed by our solution are underlined. More will come in the next releases.

Base parser: if the document type is unknown or not currently supported by a specialized parser, certain common fields will still be extracted: document_sender, document_receiver, patient information.
Parse document: if you already know the document type, you can skip the classification and use the /parse route to extract content
Documentation now enumerates (dropdown) of the different document types accepted by the /parse route

Added model benchmarking infrastructure and test suite for prescription and patient transfer documents (benchmarking results to be published soon)
Consumption visibility: Added the /usage route to help you monitor your consumption
Granular billing: new billing dimension classified pages (separated the OCR from the classification), reduced the OCR pricing accordingly
Optimized OCR usage: used a most cost-effective OCR for most documents, reducing reliance on the higher-priced alternative

MedzyAI Document ClassifierMedzy Inc

MedzyAI Document Classifier