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Intelligent Document Processing
With Intelligent Document Processing (IDP), it is possible to extract and structure data from complex documents in variable formats. This technology enhances automations in business processes, facilitating file reading.
Organize document data and enhance your automations
IDP combines artificial intelligence, Optical Character Recognition (OCR), and machine learning to recognize and extract texts and images from documents, understanding both the context and the meaning of the information.
This solution significantly reduces the time required to locate and extract data, facilitating workflow and optimizing other automations when integrated with business systems.
Features
How does intelligent document processing work?
This is the first stage of Intelligent Document Processing. It involves binarization, noise reduction, and the removal of distortions and stains. All of this aims to improve the document image before processing by algorithms.
The second stage is the classification of documents. They are automatically classified based on their type, content, or structure. This ensures that each document is handled according to its specific characteristics, facilitating the extraction of relevant information.
In this phase, data contained in documents is extracted using AI and OCR, allowing both structured and unstructured information to be accurately captured. The extraction can include texts, images, tables, and other important elements.
After extraction, the data is validated to ensure its accuracy and compliance with expected standards. This process involves automatic consistency checks, error correction, and alignment. Validation can be enhanced with RPA (Robotic Process Automation), reinforcing the suitability of the extracted data and the purpose of the process.
Application
Documents that can be processed
Benefits
Transform your business with intelligent document processing
Integrations
Enhance the tools your team already uses
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