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What is reciTAL?

reciTAL stands out as an innovative software company at the forefront of Artificial Intelligence, distinguished as a leader in Intelligent Document Processing with a renowned Deep Tech classification. Their advanced platform simplifies the automation of extracting, classifying, and searching through diverse document and email flows, significantly enhancing operational efficiency. Users benefit from the ability to retrain models whenever necessary, seamlessly integrating insights gained from feedback to improve accuracy. The skilled team at reciTAL is dedicated to assisting clients in implementing the software within their Kubernetes ecosystems or via Docker Compose setups. Establishing core business rules is both quick and simple, facilitating the efficient configuration of vital data elements. Operators assess extracted data validity based on the level of confidence reached, ensuring a reliable process. Moreover, the configuration of new document types is impressively swift and user-friendly, and the data that is validated plays a crucial role in the continuous improvement of system performance. This ongoing feedback loop not only enhances the platform’s adaptability but also guarantees that reciTAL stays aligned with the evolving demands of its user base, thus reinforcing its commitment to innovation and excellence.

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

Amazon Web Services (AWS)
Microsoft Azure
Microsoft Outlook
Microsoft SharePoint
Azure AI Document Intelligence
Box
CMIS
Gmail
Google Drive
IBM FileNet Content Manager
Laserfiche
Microsoft 365
Microsoft Excel
Microsoft OneDrive
Microsoft Power BI
Microsoft Word
Nuxeo
OnBase
OpenText ECM

Integrations Supported

Amazon Web Services (AWS)
Microsoft Azure
Microsoft Outlook
Microsoft SharePoint
Azure AI Document Intelligence
Box
CMIS
Gmail
Google Drive
IBM FileNet Content Manager
Laserfiche
Microsoft 365
Microsoft Excel
Microsoft OneDrive
Microsoft Power BI
Microsoft Word
Nuxeo
OnBase
OpenText ECM

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

reciTAL

Date Founded

2017

Company Location

France

Company Website

recital.ai/en/

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

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

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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