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What is PSIcapture?

Transforming documents, email data, and databases into actionable insights is made seamless with PSIcapture, which serves as more than just a basic tool for converting paper documents into digital formats. This sophisticated, automated document capture system excels at extracting data from physical documents and transforming it into a digital medium. It is designed to fulfill the diverse needs of any organization, accommodating the ever-evolving landscape of document management software and scanning technologies. PSIcapture stands out with its exceptional capability to integrate with a wide range of scanners and seamlessly route data to over 60 enterprise content management systems. Regardless of the size of the organization, PSIcapture simplifies and enhances the document processing experience. This versatile document capture platform is not only cost-effective and scalable but also uniquely adaptable to meet the specific requirements of every organization. By consolidating all document management needs into a single capture platform, PSIcapture ensures efficiency and effectiveness across various operational frameworks. In a world where information flows constantly, having a reliable system like PSIcapture can significantly streamline workflows and improve productivity.

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.

Media

Media

Integrations Supported

Box
IBM FileNet Content Manager
Laserfiche
OnBase
Alfresco Digital Business Platform
Amazon Web Services (AWS)
DocuWare
Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft Power BI
Microsoft SharePoint
Nuxeo
OpenText ECM
SentryFile
Synergy
Xero
docMgt
eDocs

Integrations Supported

Box
IBM FileNet Content Manager
Laserfiche
OnBase
Alfresco Digital Business Platform
Amazon Web Services (AWS)
DocuWare
Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft Power BI
Microsoft SharePoint
Nuxeo
OpenText ECM
SentryFile
Synergy
Xero
docMgt
eDocs

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Subscription pricing based on volume.
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tungsten Automation

Date Founded

1985

Company Location

United States

Company Website

www.tungstenautomation.com/products/psicapture

Company Facts

Organization Name

BIS

Date Founded

1986

Company Location

United States

Company Website

grooper.com

Categories and Features

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

Audit Trail
CRF Tracking
Data Entry
Data Verification
Distributed Capture
Document Imaging
Document Indexing
Forms Management
Remote Capture
Study Management

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
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

Audit Trail
CRF Tracking
Data Entry
Data Verification
Distributed Capture
Document Imaging
Document Indexing
Forms Management
Remote Capture
Study Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Natural Language Processing

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

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

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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