Blog
Artificial Intelligence Solutions for Document Classification
Automatically sort and organize your unstructured content with AI to improve efficiency, compliance, and search capabilities.
Document classification and splitting
Automatically sort, divide, and organize incoming documents
Quickly and accurately classify and split all your business documents with purpose-built AI, powered by the latest machine learning methods.
Document classification
and splitting, powered by
purpose-built AI
Document classification automatically identifies and organizes your documents, sorting them by type based on their content and context. Once classified correctly within the intelligent document processing platform, documents can be automatically routed to the correct extraction models, purpose-built for accurate and efficient data extraction from a particular document type.
Categorize and process high volumes of documents effectively
Speed up processing for any document, in any format
Automate manual sorting with document classification models that work with any document format, from image-based to text-based, from structured and semi-structured to completely unstructured—and in 200+ languages. Dramatically speed up workflows and reduce the risk of human error to boost operational efficiency and allow your team to focus on strategic, value-driven tasks.
Separate large files into individual documents
Automatically split files that contain multiple documents—such as invoices, purchase orders, and agreements—into separate files to enable more accurate data extraction. ABBYY IDP provides several options for this task: Use simple techniques like splitting files separated by blank pages or barcodes; choose pre-trained document splitting models to manage common files; or, train your own custom models based on neural networks—advanced machine learning algorithms—to recognize markers that determine where one document ends and another begins.
Sort 100+ document types with pre-trained classification models
Our document classification models use a powerful combination of image processing, natural language processing (NLP), and multimodal machine learning algorithms. Whether a driver’s license, bank statement, tax form, or contract, each document gets identified by type, appearance, and content—regardless of the document language—and categorized correctly for optimal processing.
Train custom classification models
Easily create and train document classification models tailored to your specific business needs. Simply provide a few examples of each document type—such as bills of lading, claims forms, invoices, or CVs—and the model will quickly learn to recognize and sort them accurately. ABBYY’s low-code platform makes this process intuitive and straightforward, so you can deploy document classification quickly even with minimal technical expertise.
Fine-tune and perfect your classification models
Continuously improve your classification models with a human-in-the-loop process, where humans review and correct any errors made by the models. This creates a feedback loop that allows the algorithms to learn from manual input, becoming more accurate over time. The result is smarter, more reliable classification that consistently adapts and improves.
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How document classification works
Document classification streamlines the sorting of business documents, saving valuable time and resources. ABBYY’s purpose-built AI uses advanced technologies like machine learning and natural language processing (NLP) to read all your documents—be they structured forms like IDs, semi-structured formats like utility bills, or unstructured documents like contracts—and make sense of all kinds of data.