Modern Data Capture Methods Help You Innovate

Grooper intelligent document processing software provides a diverse toolset of data capture methods using:

  • Computer vision
  • Machine learning
  • OCR
  • Natural language processing.

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.

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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.

data capture methods and data software

Infrastructure

Host your Grooper environment in AWS, Azure, or on prem, and take advantage of high-performance parallel processing.

data capture methods performance monitoring

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.

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