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What is teX.ai?

In today's world of overwhelming content, your business can effectively pinpoint and handle only the text that truly matters to its operations. No matter the specific requirements of your organization, whether it’s enhancing operational agility or making quicker decisions, teXai—a company featured in Forbes for its innovative text analytics—empowers you to leverage text for business advancement. With its robust preprocessor engine, teXai can detect and extract relevant information from various documents found in your organization’s emails or text communications. This technology is also applicable for analyzing tables, emails, text messages, and extensive archives. Additionally, the intelligent and adaptable linguistic application can recognize different text genres, categorize similar content, and generate brief summaries, thereby equipping business teams with the essential context from pertinent text. Furthermore, the text analytics software streamlines the extraction of vital components from your text, making the decision-making process more straightforward and efficient. By integrating these tools, your organization can stay ahead in a rapidly evolving landscape.

What is TextRazor?

The TextRazor API is a powerful tool designed to effectively reveal the Who, What, Why, and How of your news content. With features like Entity Extraction, Disambiguation, and Linking, it also includes Keyphrase Extraction, Automatic Topic Tagging, and Classification, supporting a total of twelve languages. This API conducts a thorough examination of your text, enabling the extraction of Relations, Typed Dependencies among words, and Synonyms, which aids in the creation of sophisticated semantic applications that are aware of context. Additionally, it facilitates the rapid extraction of custom entities such as products and companies, allowing users to set specific tagging rules that fit their content needs. TextRazor presents a flexible text analysis framework that can be accessed either through cloud services or by self-hosting. Its integration of advanced natural language processing technologies with a vast knowledge base helps users quickly generate valuable insights from various types of content, including documents, tweets, or web pages. This makes it a vital resource for both content creators and analysts who seek to enhance their understanding of data. Ultimately, TextRazor’s holistic approach guarantees that users can optimize their data processing and analytical strategies to achieve superior outcomes.

Media

Media

Integrations Supported

Keras
Neota
OpenResty
Pipedream
Selenium
Smart City Solutions
TensorFlow
TiMi

Integrations Supported

Keras
Neota
OpenResty
Pipedream
Selenium
Smart City Solutions
TensorFlow
TiMi

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$200 per month
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

teX.ai

Date Founded

2019

Company Location

United States

Company Website

tex-ai.com

Company Facts

Organization Name

TextRazor

Date Founded

2011

Company Location

United Kingdom

Company Website

www.textrazor.com

Categories and Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Categories and Features

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

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

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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