What is Intelligent Document Processing?
Intelligent Document Processing (IDP) combines traditional capture technology like optical character recognition with machine learning and natural language processing to gather, analyze, and process document bound unstructured data.
How does IDP work?
Data capture & DOcument Seperation
IDP ingests a broad range of semi-structured and unstructured documents including multimedia files, social media content, unstructured web pages, analytical data, emails, messy documents, and more.
Document Separation for batch files
In the case of large batches of scanned paper documents or e-file folders, separation rapidly splits documents based on their contents.
Classification
IDP clearly analyzes the structure of a document, even when there is none. Classification identifies and labels documents based on what the document is/what it contains (ex. invoice vs contract).
Data Extraction
Natural language processing and AI help pull data, whether numerical or qualitative, by going beyond OCR scanning to processing and understanding a document's context for better accuracy.
Indexing
Indexing makes IDP results searchable for future use by providing searchable lables and metadata tags.
Data Export and Integration
Data is prepared for integration with core business systems, automated workflows, and content storage in a repository or data lake. IDP adds additional value by exporting captured data in a variety of formats, including those necessary for data analysis and interactivity with AI solutions, including JSON, CSV, XML, or markdown.
Human-in-the-loop validation
Human-in-the-loop validation is the moment in the machine learning process when an AI system’s flagged exceptions and process results are evaluated by a human to ensure accuracy and contribute to continuous model training.
While many solutions might claim 99% accuracy, it’s possible that a solution may fail to raise an exception on separated and classified data that’s actually inaccurate.
Human-in-the-loop validation is an extremely essential part of IDP and any AI-based solution that mitigates risk and reduces manual intervention over time through an iterative process.
Benefits of Intelligent Document Processing
- Improved access to data and enhanced decision making
- Reduced manual document handling and improved operational efficiency
- Fewer exceptions before validation
- Data exports to JSON, CSV, XML, .MD, and other formats for data integration
- Greater data availability for analysis and GenAI interaction
There are over 450 IDP vendors and solution offerings!
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What is Intelligent Document Processing (IDP)?
Intelligent Document Processing (IDP) is AI powered document capture blending OCR, NLP, and ML to classify and index unstructured data.
