Data Capture Methods for Any Project
Modern Data Capture Methods Help You Innovate
Grooper intelligent document processing software provides a diverse toolset of data capture methods using:
We provide a reliable and proven way for organizations to embed human comprehension from files, documents, and unstructured data. The end result is intelligent data that directly supports automation, innovation, and revenue growth.
Being able to know and trust your data is essential for meaningful digital transformation and business process automation. Our data capture tools will help you understand and develop a practical working relationship with your data.
When unstructured data is no longer a mystery, it becomes useful for achieving efficiency and innovation that drives revenue growth and competitive advantage.
Below is a list of data capture methods within the Grooper intelligent document processing platform:
Document Capture
There’s a lot more to doing this right than just jamming pages into a scanner.
Eliminate dependencies on manual scanner profiles by centrally controlling scanning hardware. Connect to over 400 different scanners using ISIS or TWAIN drivers.
Scan faster and collect more data from paper, microfiche, and aperture cards. Rapid image review workflows ensure perfectly scanned images.
Image Processing
Good optical character recognition (OCR) needs nice clean document images.
Access over 70 built-in image processing and computer vision features to make OCR and data collection on any document a breeze.
Test and view image cleanup results real-time to eliminate expensive re-processing.
OCR
Use multiple OCR engines in a patented process to capture any data element without fragile templates.
If you’re looking for the world’s best OCR, this is it. Capturing accurate text makes document classification and data extraction workflows more powerful.
Looking for optical mark recognition for checkboxes or intelligent character recognition? You’ve come to the right place!
Document Management
Extend RULES-based ETL beyond paper documents. With multiple data capture methods at the ready, you’ll take document data integration to a new level.
Smart file naming and metadata create powerful data collection and discovery.
Integrate with cloud and local content management solutions.
Document Classification
Rapidly identify, sort, and group documents based on document content. Trust the results by using transparent confidence ratings.
Save time by eliminating the need for separator sheets or manual separation.
Classify documents using machine learning, natural language processing or by visual appearance.
Natural Language Processing
One of the most important data capture methods for legal documents is natural language processing (NLP).
Trainable NLP algorithms find important clauses or other types of data, which makes abstraction and data collection workflows more efficient.
Features like paragraph detection and lexical analysis make quick work of mortgage, lease, and contract document data integration.
Versatile Data Integration Tools
Grooper provides no-code, point-and-click integration with enterprise content management systems, databases, and line of business applications.
Validate and integrate captured data from structured or unstructured data sources.
Achieve deeper data integration with full control of data formatting.
Infrastructure
Host in AWS, Azure, or on prem, and take advantage of high-performance parallel processing.
Transparent AI
Grooper Design Studio is an open cockpit for fine-tuned controls and ensures no mysteries with working with data.
No black box algorithms here. First, choose a data capture method. Then tune, test, and deliver results.
Real-time confidence scoring and weighted accuracy statistics enable rapid testing without needing a data science degree.
