GrooperBIS
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StapleStaple AI
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About
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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About
Staple AI is a compliance infrastructure for AI-powered document flows. The first mile of document processing. Enterprises processing documents at scale face a growing compliance problem: AI extracts data, but can't prove where it came from. Staple AI fixes that.
Every extracted field carries a cryptographic chain of custody through the MSD (Metastructured Data) layer, from the source document to the ERP entry. Auditors get answers. Boards get accountability. Regulators get evidence. Built at the intersection of Artificial Intelligence (AI), Machine Learning, analytics, and enterprise-grade document infrastructure.
What Staple AI does:
Intelligent Document Processing across invoices, POs, GRNs, bank statements, KYC docs, contracts, payslips, claims, delivery orders, and more.
Template-free. Self-learning. 95%+ extraction accuracy. n-Way Document Matching up to 10 document types simultaneously at the line-item level, with fuzzy matching and variance thresholds.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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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.
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Audience
Enterprises interested in a solution to automate the extraction of data from a variety of documents
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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PricingSubscription pricing based on volume.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationBIS
Founded: 1986
United States
grooper.com
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Company InformationStaple AI
Founded: 2018
Singapore
staple.ai/
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Alternatives |
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Categories |
Categories |
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Data Extraction Features
Disparate Data Collection
Document Extraction
Email Address Extraction
Image Extraction
IP Address Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
OCR Features
Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool
Artificial Intelligence Features
Chatbot
For eCommerce
For Healthcare
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Electronic Data Capture Features
Audit Trail
CRF Tracking
Data Entry
Data Verification
Distributed Capture
Document Imaging
Document Indexing
Forms Management
Remote Capture
Study Management
Machine Learning Features
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Natural Language Processing Features
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
Text Mining Features
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
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Integrations
Amazon Web Services (AWS)
Microsoft Azure
Azure AI Document Intelligence
Box
CMIS
Google Drive
IBM FileNet Content Manager
Laserfiche
Microsoft 365
Microsoft Excel
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Integrations
Amazon Web Services (AWS)
Microsoft Azure
Azure AI Document Intelligence
Box
CMIS
Google Drive
IBM FileNet Content Manager
Laserfiche
Microsoft 365
Microsoft Excel
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