Document Data Extraction

Upcoming Webinar : Leveraging Web Data For Advanced Analytics

On 6th Dec, 11.00 AM to 12.00 PM ( EST) 4.00 PM to 5.00 PM ( GMT )

Document Data Extraction

Mojo Case Study

Problem Statement

A government information US-UK-based real estate archival body required face challenges in efficiently extracting and integrating critical data from lease documents into property management software. Current methods struggle with handling large volumes, such as 3000+ leases monthly, and lack robust data processing capabilities. We propose a solution utilizing Azure Cognitive Services to automate data extraction, streamline processing, and seamlessly integrate with property management systems, enhancing efficiency and accuracy in lease management.

Our solution

ML-based Solution :

Critical Data Abstraction: Utilize Azure Cognitive Services to automatically extract essential data from lease documents.
Seamless Integration: Process the extracted data and integrate it efficiently with property management software for streamlined operations.
Scalable Operations: Handle and process over 3000 leases monthly, ensuring timely and accurate data management.

Handwritten Data Extraction Solution :

Versatile Image Processing: Extract text from various image formats including .png, .jpg, and .tiff. Accurately recognize and process most forms of cursive handwriting.
Scalable Capability: Efficiently handle and process over 3000 leases monthly, with the capacity to manage up to 100,000 manuscripts daily.
Inbuilt Modules: Utilize grammar correction, translation, XY coordinates extraction, and image resizing to enhance the quality and usability of extracted data.
Scalable Processing: Efficiently process up to 100,000 manuscripts daily, supporting large-scale document management.
Offline Functionality: Enable offline implementation to ensure reliable performance in environments with limited or no internet connectivity.

Contact us for a solutions demo:

Benefits

Automated Extraction and Integration: Streamline operations by using Azure Cognitive Services to automatically extract critical data from lease documents and integrate it seamlessly with property management software.
Large-Scale Capability: Handle and process over 3000 leases monthly, and up to 100,000 manuscripts daily, ensuring timely and accurate data management even at scale.
Advanced Data Enhancement: Improve data quality with inbuilt grammar correction, translation, XY coordinates extraction, and image resizing modules. Support offline functionality to ensure reliable performance in any environment.