with Intelligent Text Extraction
Deliver Data Faster with Intelligent Text Extraction
How Does Intelligent Text Extraction Work?
Intelligent text extraction works by using modern data science tools to understand the meaning of text in documents. Because your automations require accurate data from complex or unstructured documents, you need fast and accurate extractions.
And you shouldn’t have to use 6 different solutions for accurate text extraction, so we combined them for you and you have full control over:
Power through complex automations with confidence.
Create seamless workflows with powerful A.I.-based text extraction on any document source.
Capture documents and text files (EDI, email, transactions, etc.) at their source or perform optical character recognition (OCR) as needed. Classify, extract, and integrate both the document image and extracted data into your ERP, CRM, or other line of business application.
Accurate Text Extraction for Multiple Use Cases
Need billions of extractions? Working with complex documents or B2B data? Your path has been paved:
A platform-based approach to extraction makes you more versatile. Now, accurate text extraction from any document source is possible, from paper to electronic files. Enjoy unlimited data extraction from any document source.
If you’re processing paper documents, we provide a high-accuracy and proven OCR solution: In fact, in a test versus other popular extraction solutions, Grooper accurately extracted over 99% of text:
Deliver accurate, structured, and verified data to custom processes and to core system applications.
Automating text extraction eliminates slow, expensive, and inaccurate manual data entry. Free up time to focus on better outcomes by extracting text from:
Become a Disruptor:
- Free workers to concentrate on higher level tasks like customer service or analytics
- Respond quickly and proactively to customer requests
- Increase competitive advantage by disrupting your industry with new ideas
Parse Natural Language Data with Flow Collation
When extracting data from document text, there are three important data context relationships:
- Syntactical – a syntax that indicates what the piece of data represents
- Semantic – use relationships between pieces of text to target specific data
- Spatial – use the layout of text on a document to infer the meaning of data elements
Understanding these relationships is important for targeting and extracting the data you need from text.
Flow collation also returns text between two or move values. This will help you locate sections of text that aren’t as easily predictable.
Text Extraction Case Study
With better text extraction, software many organizations are disrupting their industry – and probably yours.
See how one nation-wide credit union is increasing their competitive advantages with rapidly extracting text from any file. They are enjoying many advantages, including:
Download our case study to learn more!
“All of the information in some file some place is very hard to retrieve. We ought to be able to get it with the click of a button, and now we can. Using the system that Grooper provides to scan the documents and mine the data eliminates many manual processes. My belief is that in the long-term it doesn’t really cost us anything because it’s going to pay us dividends over and over again. I would be surprised if anybody has a system that’s any better than this.”Gary Ridley, former Oklahoma Secretary of Transportation, former Director of Oklahoma Dept of Transportation and former Director of Oklahoma Transportation Authority
“Grooper will give us the access to more contract data than ever before by quickly extracting the data across thousands of lengthy contracts, allowing employees to spend time on value-adding data analysis rather than extraction.”Glena Brauer, Supervisor – Marketing Contracts and Compliance, Chesapeake Energy
“Grooper allows my staff to process ten times more volume than we could with our previous image capture solution; our office thinks Grooper is worth its weight in gold.”Marie Ramsey-Hirst, Court Clerk, Canadian County
“Grooper gave Change Healthcare the ability to process huge diverse client print files and extract the data into a normalized data stream for processing.
“One of the key feature of Grooper is the ability to identify, interpret, enhance, and extract data from a large number of media types (TIF, JPG, PDF, Word, Excel, ect…) Another key decision point was there wasn’t a requirement for a software developer to write code, a business analyst can use a GUI base application to configure 98% of the extract jobs.”Todd S
“Grooper has saved OSU hundreds of thousands of dollars and the ROI was seen in less than six months after going live. This product has taken data processing, document scanning, and import automation to a whole new level. It’s now in virtually every department including our president’s office.”Erin Girton, Database Administrator/Content Management & Capture Administrator, Oklahoma State University
“Practically every unit here within our agency uses Grooper on some level. Grooper has cut down on our indexing time by 70 percent.”Ryan Freeman-Smith, Manager, Oklahoma Health Care Authority
Featured Case Studies
Thousands of companies choose BIS to enrich products and services with unique data-centric solutions. Here are some of their stories.