Automated Data Extraction

Automatically Extract Structured and Unstructured Data

SoftWorks AI’s Trapeze Data Extraction Module is a flexible, server-based software solution designed to automatically extract data and reduce the need for manual data entry. Manually extracting data from images or files can be an expensive and time-consuming task. Through Trapeze’s advanced computer vision techniques, organizations can reliably extract tables, graphs and images, even from difficult-to-read content.

The Trapeze Data Extraction Module utilizes state-of-the-art computer perception technology to understand every element of a file, regardless of how it is displayed. Furthermore, Trapeze utilizes foreground separation and several advanced pre-processing techniques to process skewed, watermarked, low-contrast, or otherwise-distorted files, and achieve accuracy well above industry standards.

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Best-in-Class Accuracy

Trapeze data extraction tool uses all available information to maximize accuracy and confidence. It uses both general and document-specific parameters, relying on SoftWorks AI’s proprietary data capture and classification technologies to focus and improve the extraction process.

Structured and Unstructured Data

Trapeze’s advanced machine learning and computer vision technology enables it to extract both structured and unstructured data. It can process even unique, disorganized, unstructured forms, documents, and images, and turn them into structured, actionable intelligence.

Benefits

Eliminates Manual Data Entry

Trapeze’s automated data extraction module pulls data from documents and passes it directly into an enterprise system, completely removing humans from the process.

Faster, Cost-Effective, and More Accurate Business Processing

Automating data extraction enables businesses to process documents in a fraction of the time, while eliminating human error.

Enables end-to-end automation

Data extraction is a critical element of any automation system, turning images and documents into clear, actionable data.