Audience
Operations, IT, and compliance leaders at enterprises, government agencies, credit unions, and healthcare organizations who process high-stakes documents and need data they can verify.
About Grooper
Grooper is an AI-powered intelligent document processing (IDP) platform for organizations that cannot accept black-box answers. It classifies documents and extracts data from any source: paper, PDFs, email, faxes, handwriting, and legacy archives.
What makes Grooper different is control. Roughly 57 extraction methods span rule-based and AI families, chosen per field, so AI is a choice, never a dependency. ReadScope lets you set exactly what the AI reads for every field; the model can't misread what it was never shown. Every extracted value keeps its receipt: where it came from, how it was extracted, what the AI saw, and who checked it.
One system covers scanning, OCR (6 engines), classification, extraction, human review, redaction, and delivery. Deploy on your hardware (including AI on your own GPUs), in your cloud tenant, or hosted by BIS, the self-funded Oklahoma City company that has built document technology since 1986.
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Pricing
Pricing Details:
Subscription pricing based on volume.
Free Trial:
Free Trial available.
Company Information
BIS
Founded: 1986
United States
grooper.com
Videos and Screen Captures
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Product Details
Platforms Supported
Cloud
Windows
On-Premises
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
24/7 Live Support
Online
Grooper Frequently Asked Questions
Grooper Product Features
Artificial Intelligence
Chatbot
For Healthcare
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Process/Workflow Automation
Rules-Based Automation
For Sales
For eCommerce
Predictive Analytics
Virtual Personal Assistant (VPA)
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Electronic Data Capture
Data Entry
Document Imaging
Audit Trail
CRF Tracking
Data Verification
Distributed Capture
Document Indexing
Forms Management
Remote Capture
Study Management
Machine Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Statistical / Mathematical Tools
Templates
Visualization
Deep Learning
Predictive Modeling
Natural Language Processing
In-Database Text Analytics
Named Entity Recognition
Parsing
Sentence Segmentation
Stemming/Lemmatization
Tokenization
Co-Reference Resolution
Natural Language Generation (NLG)
Open Source Integrations
Part-of-Speech Tagging
OCR
Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool
Text Mining
Document Filtering
Language Detection
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Boolean Queries
Graphical Data Presentation
Predictive Modeling
Topic Clustering