Drawing on Doosan's experience in various industries, the solution addresses the repetitive manual and inefficiency of dataizing unstructured documents or files.
With Generative AI through Amazon Bedrock, we provide a VLM-based OCR extraction solution.
The extracted data is stored in the RDS repository and the S3 file repository, and the S3 Vector feature also provides a vector repository function that allows RAG retrieval of documents.
Overview
Product Overview Powered by Doosan’s deep domain expertise across demanding sectors—including manufacturing, retail, logistics, and chemicals—this solution radically transforms manual, inefficient document workflows into streamlined digital assets. Leveraging Vision-Language Model (VLM)-based OCR via Amazon Bedrock, the solution automates the extraction of high-volume unstructured documents, complex images, and disparate file formats with near-zero human error.
Key Features & Architecture
GenAI-Powered VLM OCR: Automatically extracts text and visual data from multi-source global documents using Amazon Bedrock.
Automated Cross-Verification: Eliminates operational friction by executing real-time comparison, compliance tracking, and validation of critical figures across varying regulatory frameworks.
Structured Data Pipeline: Seamlessly stores extracted operational data in Amazon RDS and manages file assets within Amazon S3.
Intelligent Document RAG: Utilizes advanced vector capabilities and Retrieval-Augmented Generation (RAG) tied with Amazon S3 data sources, enabling users to perform smart, natural-language search across enterprise repositories.
Business Benefits
Maximized Agility: Accelerates document processing speed and boosts operational agility across global business units.
Erased Human Error: Drastically reduces costs and risks associated with manual data entry and verification.
Data Capitalization: Turns dead, unstructured files into searchable, actionable knowledge bases.
Highlights
- Doosan’s Domain Expertise Met with GenAI Built upon Doosan’s extensive experience in demanding industries like manufacturing and logistics, this solution radically transforms complex, manual document workflows into highly accurate digital assets.
- Advanced VLM-based OCR via Amazon Bedrock Leveraging cutting-edge Vision-Language Models (VLM) through Amazon Bedrock, the solution seamlessly extracts text and visual insights from high-volume unstructured data and multi-source files with near-zero human error.
- Automated Cross-Verification & Intelligent RAG Eliminate operational friction with real-time compliance tracking and document validation, while enabling smart natural-language search across secure Amazon RDS and S3-backed RAG repositories.
Details
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Delivery method
Deployed on AWS
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Support
Vendor support
For more detailed information or to initiate the Cloud-Native Predictive Maintenance proof of concept, please contact ddi.marketing@doosan.com