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What is Grooper?
Most document AI asks you to trust it. You feed it documents, it returns answers, and when a number is wrong, "the model said so" is the only explanation available. Grooper was built for organizations that can't accept that.
Grooper is an intelligent document processing (IDP) platform built on one premise: you stay in control. You control the method: about 57 extraction techniques across rule-based and AI families, chosen per field, so an invoice number can use a pattern that returns the same answer every time while the messy handwriting beside it uses AI. You control the AI's input: ReadScope lets you set the scope of what the AI reads, per field. The model can't misread what it was never shown. And you control the evidence: every value keeps its receipt. Click any number to see the exact spot on the page it came from, the method that produced it, what the AI was shown, and who checked it. A number without its source is a rumor; Grooper's numbers show their work.
One system covers the whole job: scanning, OCR across 6 engines, document separation, classification, extraction, validation against your systems of record, human review with the source highlighted, redaction, and delivery. Extend it yourself through 61 documented extension points, and drive it with your own AI agents through MCP, the open protocol, instead of a captive vendor copilot.
Deploy it your way: on your hardware, with AI models on GPUs you own so regulated content never leaves the building; in your own cloud tenant; or hosted and managed by BIS. Customers publish the results: 62% of invoices in a 2,000-a-day AP operation flow through with zero human touches, and Del Norte Credit Union eliminated 97.5% of manual data entry.
Behind Grooper is BIS, an Oklahoma City company founded in 1986: self-funded, no outside investors, and sole author of every line of the code.
Your documents. Your models. Your rules.
Integrations Supported
Amazon Web Services (AWS)
Azure AI Document Intelligence
Box
CMIS
IBM FileNet Content Manager
Laserfiche
Microsoft 365
Microsoft Azure
Microsoft Excel
Microsoft OneDrive
API Availability
API Availability
Has API
Pricing Information
$5000.00
For SMB starting price is $5000 for basic version. Full featured version available for higher price. Academic and Startup discounts available.
Enterprises contact for price quote.
Enterprises contact for price quote.
Free Version
Free Trial Offered?
Pricing Information
Subscription pricing based on volume.
Free Trial Offered?
Supported Platforms
Windows
Mac
Linux
Supported Platforms
SaaS
Windows
On-Prem
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Online Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
NaturalText
Date Founded
2015
Company Location
India
Company Website
naturaltext.com
Company Facts
Organization Name
BIS
Date Founded
1986
Company Location
United States
Company Website
grooper.com
Categories and Features
AI Data Analytics
Not specified
AI Tools
Not specified
Big Data
Data Mining
Data Visualization
High Volume Processing
No-Code Sandbox
Predictive Analytics
Data Analysis
Data Discovery
High Volume Processing
Text Analytics
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Sensitive Data Identification
Data Enrichment
Not specified
Data Extraction
Document Extraction
Data Mining
Data Extraction
Linked Data Management
Machine Learning
Semantic Search
Text Mining
Deep Learning
Document Classification
ML Algorithm Library
Self-Learning
Machine Learning
Deep Learning
Natural Language Processing (NLP)
Natural Language Generation
Business Intelligence
Multiple Language Support
Natural Language Processing
In-Database Text Analytics
Named Entity Recognition
Text Mining
Document Filtering
Taxonomy Classification
Text Analysis
Topic Clustering
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Process/Workflow Automation
Rules-Based Automation
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
Intelligent Document Processing
Not specified
Machine Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Statistical / Mathematical Tools
Templates
Visualization
Natural Language Processing
In-Database Text Analytics
Named Entity Recognition
Parsing
Sentence Segmentation
Stemming/Lemmatization
Tokenization
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
