Data Capture Tools 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 extract important data from electronic files, paper/scanned documents, and unstructured data. The end result is intelligent data that directly supports automation, innovation, and revenue growth.
Being able to know and access 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 is a lot more to doing this right than just jamming pages into a scanner.
For example, you can eliminate dependencies on manual scanner profiles by centrally controlling scanning hardware. With Grooper, 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 in real-time to eliminate expensive re-processing work.
OCR
Use multiple OCR engines in a patented process to capture any data element without needing fragile templates that break easily.
If you are looking for the world’s best OCR, this is it. Capturing accurate text makes document classification and data extraction workflows more powerful.
Or are you looking for optical mark recognition for checkboxes or intelligent character recognition? You have come to the right place!
Document Management
Extend RULES-based ETL beyond paper documents. With multiple data capture methods at the ready, you will take document data integration to a new level.
Smart file naming and metadata creates powerful data collection and discovery.
Integrate with cloud and local content management solutions.
Document Classification
Rapidly identify, sort, and group documents based on the document’s content. Trust the results by using transparent confidence ratings.
You can also 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. As a result, this 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 Capture and 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 your Grooper environment 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 your data.
There are no black box algorithms here. First, choose an automated 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.
Data Capture FAQs
What is Data Capture?
Data capture is the process of extracting different structures of information from documents or electronic files and converting the data into a format that can be read by a computer. Modern data capture software incorporates optical character recognition, advanced image processing, and machine learning to collect important data from paper that was scanned or from machine-generated files or documents.
Electronic documents that can leverage data capture include e-mails, digital PDFs, metadata, etc. Generally, most data capture systems have the toughest time accurately capturing data from scanned documents with table-bound data. The easiest formats to accurately collect data from are computer-generated files or scanned documents that have the same structure and are very clean around the required data.
The extracted data can then be integrated into business intelligence or content management systems.
What are the Benefits of Data Capture?
There are numerous benefits of modern data capture software for enterprises. Those benefits are:
- Greatly reduce operating costs
- Speed up and streamline workflows that revolve around documents or data
- Improve client and employee satisfaction
- Eliminate manual data entry errors
- Improved corporate decision-making ability, as vast amounts of data are available much faster
Why Use Automated Data Capture Solutions?
The more that an enterprise relies on large amounts data, the more that they can reap big benefits from automated data capture. Big data and the generation of huge amounts of data is forcing companies to not only stay on top of their data, but is enabling them to leverage that data to: reduce costs, increase profits and beat their competitors who aren’t using automated data capture.
If a business relies on data forms, tables, invoices, large legal documents like leases, insurance claims, mortgage documents, transcripts, applications, etc., they can leverage their data for far better processes and also quickly yield substantial return on investment.