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Using Handl.ai’s ML-powered document processing for paperwork automation
Case studies block. Session 1.
Data serves as the cornerstone for numerous businesses, yet many organisations still grapple with inefficient data capture and collation processes that are both time-consuming and prone to errors. Enter Intelligent Document Processing (IDP), a technology that extracts data from unstructured, semi-structured, or structured documents with remarkable efficiency.
In this post, I will delve into handl.ai, a Machine Learning (ML) IDP service, showcasing its capability to extract both typed and handwritten text from documents and images. You can seamlessly integrate handl.ai into your workflow by leveraging the handl.ai SDK, available in Java, Javascript.
Handl.ai features
Handl.ai boasts a range of powerful features, each serving as a building block to address specific business challenges. Additionally, we’ll examine the cost-effectiveness and accuracy of these features.
Document Categorisation & pre-processing
Beginning with the most basic functionality, Document Classification, this process exemplifies how handl.ai efficiently handles a variety of document types by automatically categorising them, then performing pre-processing such as…
