Intelligent Document Processing (IDP) refers to the use of smart technologies, such as artificial intelligence (AI), machine learning (ML), and other advanced technologies, to capture, extract, and process data from documents.
It’s a technology that transforms the way businesses handle documents, resulting in increased efficiency, accuracy, and productivity.

The key virtues of IDP are:

Speed: With IDP, businesses can process documents at a much higher speed compared to manual methods. This rapid processing capability allows for quick decision-making and faster execution of business operations. A strategic advantage in today’s competitive business world.

Scalability: IDP can handle a high volume of documents without the need for additional resources. This scalability makes it an ideal solution for businesses that deal with an increasing amount of paperwork or electronic documents.

Compliance and Security: IDP ensures that documents are processed in a secure manner, maintaining compliance with regulations. It can also keep a detailed record of all processed documents, providing an audit trail if necessary.

Cost Efficiency: By automating document processing tasks, businesses can reduce their operational costs. We all know that manual processing not only requires more resources, but is also more prone to human errors, leading to high additional costs down the line.

Customer Satisfaction: By reducing the time it takes to process documents, businesses can respond to customer queries more quickly, improving customer satisfaction, and higher conversions from prospect to customer.

Accuracy: IDP leverages AI and ML to accurately extract and interpret data from documents. These technologies can understand context and handle a variety of data types, including structured, semi-structured, and unstructured data, leading to a high level of accuracy in data extraction.

Data Insights: IDP enables businesses to convert unstructured data into structured data, which can then be analyzed to provide valuable business insights. This data-driven approach helps in informed decision-making and strategic planning.

Overall, IDP revolutionizes document management and processing by making it faster, more efficient, and more accurate, providing significant benefits to businesses in various industries.

Intelligent Document Processing platform

Our platform offers all standard functions that you expect in a document processing platform to capture, extract, and process data from documents. Using our platform we configure your process from capture to storage, adding tasks as your process needs them.

Ingest
We can ingest documents through high-speed scanning, email, file-transfer, watching a network-folder, or using an API.

Transform
We’ll extract the necessary data using our advanced technologies and transform the data and documents into a format that is needed for further processing.

Store
We can store the data and documents in our internal NoSQL Database (SAP Enterprise OrientDB), or export it to an external eDMS, cloud storage or Enterprise Line-of-Business system.

Advanced Processing Services

We can add and configure advanced services to your processing flows for classification, extraction, and validation.

Image Recognition
Image recognition uses machine learning algorithms to identify and categorize  images. For document processing, this is used to sort documents based on visual characteristics or metadata associated with the document images.

Document Text Extraction
A text extraction service can automatically extract text and data from digital documents, going beyond simple optical character recognition (OCR) by identifying the contents of fields in forms and information stored in tables. This is particularly useful for extracting structured data from unstructured documents.

AI Search Technology
This service leverages artificial intelligence functionalities for natural language processing (NLP), text analytics, and machine learning to extract  Named Entities, such as names, places, dates, times, numbers, etc. from complex, unstructured data and documents.

Form Processing
Forms can be processed using a machine learning-based service that extracts text, key-value pairs, and tables from documents. It offers the ability to train custom models for processing various types of documents for recognizing and extracting specific information.

Custom Text Classification
This enables the creation of custom machine learning models for text analysis and classification. This is used in document processing for automatic classification of documents, sentiment analysis, and extraction of relevant information.

AI-assisted Supervised Learning
This uses AI to process various types of documents, extracting data and integrating it into business processes. It provides the capability to train models with supervised learning for specific data extraction needs, enhancing the accuracy and efficiency of the data extraction process.

These are all examples of AI-driven services that are available for document processing. The best choice depends on the specifics of your use case.

NextGen DMS APIs

All these functions are also available as individual Restful APIs for tight integration with your own Robotic Automation (RPA) and Business Process Management (BPM) systems.

• Document Capture API
• Document Vision API
• OCR/ICR API
• Barcode API
• Form Processing API
• Document Text Extraction API
• Named Entity Extraction API
• Custom Text Classification API
• Document Conversion API
• Data Conversion API
• Document Signing API
• Cloud Storage API
• Enterprise APIs (for export)