Documents are the lifeblood of organizations as they hold valuable information. Extracting information or data extraction from these documents is challenging as they come in varied formats. Traditional data extraction processes are unable to meet the demand from organizations for quick extraction of information within these documents, as they are time-consuming, error-prone, expensive, and lack scalability.
To help overcome these challenges, Straive’s data extraction solution leverages machine learning (ML) and artificial intelligence (AI) to make the extraction process more manageable and efficient. In practice, this translates into a quick, accurate, and scalable data extraction solution for complex documents including mortgage documents, invoices, and patents.
Straive’s white paper “Data Extraction from Complex Documents Using Machine Learning and Artificial Intelligence– Based Solutions” discusses the nuances involved in data extraction. Furthermore, the whitepaper elaborates on:
Why computer vision plays a major role in data extraction from documents
What is Straive’s data extraction solution
How AI and ML drive Straive's automation approach to data extraction
Download Straive's white paper “Data Extraction from Complex Documents Using Machine Learning and Artificial Intelligence– Based Solutions” now.
Our SDP platform has been successfully deployed at scale for multiple clients. It is currently scraping data from 12 + million web pages. It has systematically collected over 50 million data points around companies, people, products, and locations. Finally, yet importantly, SDP monitors around 610,000 web sources daily. So, it is time you spoke to us at straiveteam@straive.com or visit www.straive.com/data-extraction-process-demo for a no-obligation demonstration of our data extraction capabilities.
Speak with our data consultants to find out how Straive Data Solutions can help you leverage the information within documents.