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Intelligent business automation

Intelligent Document Processing - IDP

AWS Intelligent Document Processing (IDP) automates the extraction and analysis of data in documents, using AI to turn unstructured information into structured, useful data.

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IDP powered by AWS

Intelligent Document Processing

AWS Intelligent Document Processing (IDP) is a solution that automates the extraction, interpretation, and management of data from documents. It uses artificial intelligence and machine learning to analyze scanned documents, PDFs, and other formats, turning unstructured data into structured, usable information. This makes it easy to automate tasks such as document classification, key data extraction, and integration with other business systems.

Automation and Efficiency
Eliminates the need for manual processing, reducing time and errors.
Business Integration
Connect processed data with business systems, improving decision making.
Advanced AI
Use artificial intelligence to extract and analyze data more accurately.
Optimization of processes

What does the IDP contribute?

AWS Intelligent Document Processing (IDP) provides efficiency in document management, reduction of manual errors, and acceleration in the extraction of key data, enabling better integration and decision making based on structured data.

How to implement IDP

Implementing Intelligent Document Processing (IDP) on AWS involves using several services to automate the extraction, processing, and analysis of document data.

Implementing Intelligent Document Processing (IDP) on AWS involves several key steps:

1. Collection and Storage of Documents
Documents, whether in PDF format, images or scans, must be collected and stored in Amazon S3 (Simple Storage Service).
2. Data Extraction
Use Amazon Textract to extract text, tables, forms, and other structured data from documents stored in S3.
3. Data Post-processing
Transforms and organizes extracted data to facilitate its analysis and use in subsequent applications.
4. Data Storage and Management
The processed data is stored in a suitable database for later consultation and analysis.
5. Data Analysis and Visualization
Perform advanced analysis on structured data and visualize results to gain insights.
6. Automation and Monitoring
Implement an automated workflow and monitor document processing to ensure efficiency and detect potential errors.

Do you need more info?

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    Last updated October 2024

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