Data Ingestion & Pre-processing

Data is captured from various content types and prepared for processing. This preparation includes merging or splitting documents and correcting low-quality renders. Some solutions also offer tools for data labeling and annotation, often involving a human-in-the-loop (HITL).

Document Classification

Documents are categorized into different groups, either manually or automatically. Advanced solutions provide category suggestions based on existing taxonomies. At this stage, humans usually participate in creating and defining document categories.

Data Extraction

Machine learning extracts data from diverse content types and formats. During this step, humans train the machine learning model to identify fields for extraction.

Data Validation and Feedback

Extracted data is validated against internal and external data sources. Human input addresses outliers, preprocessing, classification, extraction quality improvement, and additional machine learning model training.

Data Integration

Validated data is sent to downstream applications for use. Common IDP integrations include customer service platforms, data enrichment tools, and robotic process automation (RPA) solutions. Ultimately, this is where the data is utilized for decision-making and business process improvement.

IDP Core Technologies

Computer Vision

This technology derives meaningful information and understanding from videos and digital images, enabling actions based on that information.

Machine Learning

A branch of AI that allows systems to learn from data, using algorithms to identify patterns and make decisions with minimal human intervention.

Deep Learning

A machine learning technique that mimics human learning by example. Models are trained using large sets of labeled data and neural network architectures with many layers, achieving high accuracy levels.

OCR

Software that converts images of text into machine-readable formats