GrooperBIS
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Related Products
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About
Intelligent document processing automates the processing of data within documents, contextualizing the document, understanding the information, extracting it, and sending it to the right place. With Acodis, you can do all of this in just a few seconds. The world is full of unstructured data hidden in documents and it will be for a long time to come. That's why we built Acodis so that you can extract data from any document, in any language. Get structured data from any document with machine learning, in seconds. Build and combine document processing workflows with a few clicks, no coding required. Once you capture and automate your document's data, integrate the process into your existing systems. Acodis offers an easy-to-use user interface. This enables your team to automate document-related processes and enables you to make faster decisions based on machine learning. Use the REST client in the programming language that you are using and integrate it with your existing business tools.
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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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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
Enterprises and individuals searching for an intelligent document processing solution to automate their document analysis operations
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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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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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Pricing
No information available.
Free Version
Free Trial
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PricingSubscription pricing based on volume.
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 InformationAcodis
Switzerland
www.acodis.io/product/intelligent-document-processing-idp
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Company InformationBIS
Founded: 1986
United States
grooper.com
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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
Text Mining Features
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
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
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Integrations
Amazon Web Services (AWS)
Azure AI Document Intelligence
Box
CMIS
IBM FileNet Content Manager
Laserfiche
Microsoft 365
Microsoft Azure
Microsoft Excel
Microsoft OneDrive
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Integrations
Amazon Web Services (AWS)
Azure AI Document Intelligence
Box
CMIS
IBM FileNet Content Manager
Laserfiche
Microsoft 365
Microsoft Azure
Microsoft Excel
Microsoft OneDrive
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