An Azure service that turns documents into usable data. Previously known as Azure Form Recognizer.
Hi Kapaganti, Satya,
Based on your scenario, using Azure Document Intelligence’s Custom Classification Model is a valid and promising approach for handling the splitting of multi-invoice PDFs, especially when invoice formats vary.
The Custom Classification Model is designed to classify documents based on their content and layout, and it can be trained to identify the start of different invoice types or boundaries by labeling representative samples. Once trained, the model can process each page or document section and assign a classification label, effectively indicating invoice segments. However, while this enables classification of content, the platform currently does not support automatic PDF splitting based on classification results as a native low-code feature. You would still need to implement a small amount of logic (e.g., using Azure Functions or Logic Apps) to parse the classification output and then split the original PDF accordingly using tools like Azure Form Recognizer Studio, REST API, or PDF libraries in Power Automate. So, while the classification model reduces the complexity of custom rule development, a hybrid solution that combines Azure’s intelligent classification with lightweight automation is currently the most practical and scalable path. This approach remains largely low-code and supports easier future maintenance through model retraining, without requiring heavy custom development.