Document classification
Sort incoming documents by type using trained machine learning models.
Classify documents and extract data from scans, PDFs, and forms with configurable machine learning.
Grooper is an intelligent document processing platform that classifies documents and extracts data from scanned images, PDFs, Word, Excel, and TIFF files. It combines OCR, machine learning, and natural language processing with human-in-the-loop review, and supports invoice automation with vendor lookups, PO matching, and approval workflows. Most extraction jobs can be configured without code. Government offices, energy and land departments, financial services, and enterprise IT teams use Grooper.
Kyle S.
Data Wizard
“Liked the flexibility, the many tools, and the control users keep over each processing step. Found it can be intimidating to learn and that a programming background helps.”
Denise C.
System Analyst ll
“Liked the easy scanning and export process for documents. Found the documentation lacks troubleshooting detail and the database table field names are unclear.”
Morgan A.
Lead Data Examination Clerk
“Liked that the software was very easy to learn and user-friendly for daily work. Found it produces processing errors that range from easy to hard to fix.”
Todd S.
VP B2B Payments
“Liked that it handles many media types and that most extraction jobs can be configured without coding. Found the configuration interface has so many options it can overwhelm beginners.”
Marshall H.
Business Systems Analyst
“Liked that it replaced old scanning software and that the partner team set it up quickly. Found help files and error guidance lacking, no automatic update checks, and a partner unwilling to take small projects.”
Gerald D.
Manager, Support Services
“Liked the large time savings from automation and CMIS connectivity that supported compliance projects. Found it hard to know all the available functionality and needed training.”
Marie H.
Court Clerk Canadian County
“Liked the reduced downtime when importing documents and the cut in data entry work. Found problems when using it alongside Application Extender and its searches.”
Dorothy W.
Administrative Assistant
“Liked the time savings, that it is easier than the previous program, and that new staff are easy to train. Found the initial setup took some time.”
Laura W.
Programmer
“Liked the many document management options and reliable operation with little downtime. Found setups complex to change, documentation not very helpful, and vendor help billed extra.”
Kyle S.
Data Wizard
“Liked that users keep control, models can be built without programming, and the team is helpful. Found the navigation tree gets confusing without disciplined naming and object placement.”
Jeff C.
Apps Manager
“Liked image and document analysis that sets it apart from other products and improves return on investment. Found the learning curve steep, though similar to comparable tools.”
Micheal K.
Information Systems Specialist II
“Liked the OCR-based automation of data entry from scanned documents. Found it hard to set up with a steep learning curve, and licenses often get tied up and cause errors.”
Darin T.
Analyst
“Liked the clear interface, which reminded him of Tableau, and a community that answers questions quickly. Found the initial setup to be the main challenge.”
William M.
Senior Systems Engineer
“Liked the flexibility and the automatic transfer of DocuSign documents into the OpenText platform. Found it overwhelming out of the box and considers training essential.”
Alex C.
CWS II
“Liked the strong recognition features and that it felt familiar to users coming from Kofax. Found the multiple license levels and price ranges were not made clear during the sales process.”
Donovan H.
Network Administrator
“Liked that the platform can be customized to match the needs of the organization. Found that getting everything configured correctly takes considerable time and effort.”
Jason M.
HR Technology SPLCT
“Liked that it was easy to implement and to train users on. Found occasional quirks that require restarts and a batch job that sometimes hangs.”
Umaema A.
Data Apprentice
“Liked that it reads documents in a human-like way, making information easier to find. Found the lack of a dark mode tiring during long work sessions.”
Frances B.
Land Analyst
“Liked how it saves time on standardized contracts once everything is configured. Found the front-end setup takes a lot of time before the benefits appear.”
Peggy M.
Office Manager
“Liked that it can be configured to fit how the company works. Found that each folder takes a while to set up and there is a lot to learn first.”
Enterprise document AI
Prebuilt skills for common document types
High-volume scanning operations
Established batch capture and indexing
Handwritten form automation
Machine learning for complex forms
Invoice and transactional documents
AI extraction focused on accounts payable