What is Intelligent Document Processing?
Intelligent Document Processing (IDP) is an enhancement of document capture powered by artificial intelligence (AI). It combines OCR, NLP, and ML to improve data extraction from unstructured and semi-structured sources. IDP utilizes unlocked data to improve document classification, indexing, and understanding.
Features
Optical character recognition
Improved OCR understands and learns new ways to capture data byleveraging context and past training.
Data Classification
A multitude of classification strategies helps IDP properly identify document type and classifies data in preferred formats and structures.
Indexing
Intelligent indexing labels data based on knowledge-base and machine learning.
Extraction
IDP extracts data from previously untapped unstructured sources, including multimedia files, social media content, unstructured web pages, analytical data, and more.
Validation
Improved validation and continuous machine-learning verifies captured data with minimal exceptions.
Benefits of Intelligent Document Processing (IDP)
- Reduced manual document handling and improved operational efficiency.
- Near-perfect data accuracy with fewer exceptions before human validation.
- Greater access to structured, semi-structured, and unstructured data.
- Enhanced decision making fueled by improved data access and insights.
- Scalable capture benefiting the unique document needs of every industry.
- Simple plug-and-play with existing systems such as content services and RPA.
of organization data is unstructured.
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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.
