Rocket Close transforms mortgage document processing with Amazon Bedrock and Amazon Textract
📰 AWS Machine Learning
Rocket Close uses Amazon Bedrock and Amazon Textract to speed up mortgage document processing by 15 times with 90% accuracy
Action Steps
- Implement Amazon Textract for OCR processing to extract text from mortgage documents
- Utilize Amazon Bedrock for foundation models to improve document segmentation, classification, and field extraction
- Integrate the solution with existing workflows to automate document processing
- Monitor and fine-tune the solution to achieve high accuracy and efficiency
Who Needs to Know This
The data science and software engineering teams can benefit from this solution as it automates document processing, reducing manual labor and increasing efficiency. This partnership can also serve as a model for other companies looking to leverage AI for document processing
Key Insight
💡 Leveraging AI-powered document processing solutions can significantly reduce processing time and increase accuracy
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🚀 Rocket Close accelerates mortgage document processing by 15x with 90% accuracy using Amazon Bedrock & Textract!
Key Takeaways
Rocket Close uses Amazon Bedrock and Amazon Textract to speed up mortgage document processing by 15 times with 90% accuracy
Full Article
Through a strategic partnership with the AWS Generative AI Innovation Center (GenAIIC), Rocket Close developed an intelligent document processing solution that has significantly reduced processing time, making the process 15 times faster. The solution, which uses Amazon Textract for OCR processing and Amazon Bedrock for foundation models (FMs), achieves a strong 90% overall accuracy in document segmentation, classification, and field extraction.
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