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What is RoeAI?

Utilize AI-Powered SQL to effectively extract, categorize, and implement Retrieval-Augmented Generation (RAG) across various types of media, such as documents, websites, videos, images, and audio files. In the realms of finance and insurance, a staggering 90% of information is found in PDF format, which poses significant hurdles due to the complexity of embedded tables, charts, and graphics. Roe provides the capability to transform large collections of financial documents into organized data and semantic embeddings, allowing for seamless integration with your preferred chatbot. Historically, the detection of fraudulent activities has been a predominantly semi-manual endeavor, hindered by the wide variety of document formats that are challenging for humans to assess effectively. With RoeAI, you can develop robust AI-driven tagging systems for millions of documents, identification numbers, and videos, significantly enhancing the speed and accuracy of data processing and fraud detection. This cutting-edge solution not only optimizes the identification process but also substantially improves the overall management and utilization of data resources. As a result, organizations can expect increased operational efficiency and better outcomes in their analytical efforts.

What is DeepTagger?

DeepTagger is an advanced no-code platform that harnesses the power of artificial intelligence to convert a variety of document formats, including PDFs, images, and Word files, into structured and actionable data using an intuitive "highlight-and-label" approach. Users can effortlessly upload their documents, specify the necessary data points, and train the model with examples rather than being confined to inflexible templates; this allows them to make predictions, export results, and enhance accuracy. The platform adeptly handles complex structures, such as line items in invoices and nested tables, while also supporting scanned documents and low-resolution images through its robust optical character recognition (OCR) technology. Furthermore, DeepTagger features capabilities for splitting multi-document PDFs, discerning intent and context, and performing position-aware extraction to distinguish repeated phrases for greater data precision. Its pricing structure is usage-based, providing a free tier for processing up to 200 documents, with higher subscription levels offering advanced features like batch prediction, nested schemas, priority support, a multi-tenant architecture, and compliance tailored for enterprise requirements. In addition to these functionalities, the system is designed with user experience in mind, making it accessible for both tech-savvy individuals and those less familiar with technology. Ultimately, DeepTagger emerges as a powerful and flexible solution for efficiently optimizing document processing and data extraction tasks.

Media

Media

Integrations Supported

Microsoft Word

Integrations Supported

Microsoft Word

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

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

RoeAI

Date Founded

2023

Company Location

United States

Company Website

www.getroe.ai

Company Facts

Organization Name

DeepTagger

Company Location

United States

Company Website

deeptagger.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

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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

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