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Description
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 you get. Grooper was built for the organizations that can't accept that.
Grooper is an intelligent document processing platform with a simple premise: you stay in control. Of the method: roughly 57 extraction techniques across rule-based and AI families, chosen per field, so the invoice number can use a pattern that returns the same answer every time while the handwritten note beside it uses AI. Of the AI's input: ReadScope lets you set exactly what the model reads for each field, the whole page, one region, or only values already extracted. The model can't misread what it was never shown. And of the evidence: every value keeps its receipt. Click any number and see the exact spot on the exact page it came from, which method produced it, what the AI was given to read, and who checked it. A number without its source is a rumor; Grooper's numbers show their work.
It is one system, sole-authored in one codebase: scanning, OCR across 6 engines, document separation, classification, extraction, validation against your systems of record, human review with the source region highlighted, redaction, and delivery. When you need something Grooper doesn't do natively, you configure it, express it, or code it through 61 documented extension points, without leaving the product. And the whole platform is agent-operable through MCP, the open protocol, so your own AI agents (not a captive vendor copilot) can build and operate Grooper.
Run it your way: on your hardware, including AI models on GPUs you own, so regulated content never leaves the building; in your own cloud tenant under your governance; or hosted and managed by BIS. The c
Description
The TextRazor API provides an efficient and precise means of uncovering the Who, What, Why, and How within your news articles. It features capabilities such as Entity Extraction, Disambiguation, and Linking, alongside Keyphrase Extraction, Automatic Topic Tagging, and Classification, supporting twelve different languages. This tool performs an in-depth analysis of your content, allowing for the extraction of Relations, Typed Dependencies between terms, and Synonyms, which empowers the development of advanced semantic applications that are context-aware. Furthermore, it enables the swift extraction of custom entities like products and companies, allowing users to create specific rules for tagging their content with personalized categories. TextRazor comprises a versatile text analysis infrastructure that can be utilized either via the cloud or through self-hosting. By integrating cutting-edge natural language processing techniques with an extensive repository of factual information, TextRazor aids in quickly deriving valuable insights from your documents, tweets, or web pages, making it an indispensable tool for content creators and analysts alike. This comprehensive approach ensures that users can maximize the effectiveness of their data processing and analysis efforts.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
Yes
Azure AI Document Intelligence
Yes
Box
Yes
CMIS
Yes
Fleece AI
No
Microsoft 365
Yes
Microsoft Azure
Yes
Microsoft Excel
Yes
Microsoft OneDrive
Yes
Microsoft Outlook
Yes
Integrations
Amazon Web Services (AWS)
No
Azure AI Document Intelligence
No
Box
No
CMIS
No
Fleece AI
Yes
Microsoft 365
No
Microsoft Azure
No
Microsoft Excel
No
Microsoft OneDrive
No
Microsoft Outlook
No
Pricing Details
Subscription pricing based on volume.
Free Trial
Yes
Free Version
No
Pricing Details
$200 per month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
BIS
Founded
1986
Country
United States
Website
grooper.com
Vendor Details
Company Name
TextRazor
Founded
2011
Country
United Kingdom
Website
www.textrazor.com
Product Features
Artificial Intelligence
Chatbot
Yes
For Healthcare
Yes
For Sales
No
For eCommerce
No
Image Recognition
Yes
Machine Learning
Yes
Multi-Language
Yes
Natural Language Processing
Yes
Predictive Analytics
No
Process/Workflow Automation
Yes
Rules-Based Automation
Yes
Virtual Personal Assistant (VPA)
No
Data Extraction
Disparate Data Collection
Yes
Document Extraction
Yes
Email Address Extraction
Yes
IP Address Extraction
Yes
Image Extraction
Yes
Phone Number Extraction
Yes
Pricing Extraction
Yes
Web Data Extraction
Yes
Electronic Data Capture
Audit Trail
No
CRF Tracking
No
Data Entry
Yes
Data Verification
No
Distributed Capture
No
Document Imaging
Yes
Document Indexing
No
Forms Management
No
Remote Capture
No
Study Management
No
Machine Learning
Deep Learning
No
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
Yes
Predictive Modeling
No
Statistical / Mathematical Tools
Yes
Templates
Yes
Visualization
Yes
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
Yes
Named Entity Recognition
Yes
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
Yes
Part-of-Speech Tagging
No
Sentence Segmentation
Yes
Stemming/Lemmatization
Yes
Tokenization
Yes
OCR
Batch Processing
Yes
Convert to PDF
Yes
ID Scanning
Yes
Image Pre-processing
Yes
Indexing
Yes
Metadata Extraction
Yes
Multi-Language
Yes
Multiple Output Formats
Yes
Text Editor
Yes
Zone Selection Tool
Yes
Text Mining
Boolean Queries
No
Document Filtering
Yes
Graphical Data Presentation
No
Language Detection
Yes
Predictive Modeling
No
Sentiment Analysis
Yes
Summarization
Yes
Tagging
Yes
Taxonomy Classification
Yes
Text Analysis
Yes
Topic Clustering
No
Product Features
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
Qualitative Data Analysis
Annotations
No
Collaboration
No
Data Visualization
No
Media Analytics
No
Mixed Methods Research
No
Multi-Language
No
Qualitative Comparative Analysis
No
Quantitative Content Analysis
No
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
No
User Research Analysis
No
Text Mining
Boolean Queries
No
Document Filtering
No
Graphical Data Presentation
No
Language Detection
No
Predictive Modeling
No
Sentiment Analysis
No
Summarization
No
Tagging
No
Taxonomy Classification
No
Text Analysis
No
Topic Clustering
No
