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What is Textfocus?
Uncover the keywords for which your webpage is optimized, along with alternative phrases that could improve the relevance of your content. Our tool performs a detailed analysis of the HTML structure and written material to pinpoint what search engines deem important. Each keyword is carefully evaluated to create a list of the lexical categories present on your page, and we occasionally identify named entities within the text to enhance your understanding of semantics. In addition, we categorize every term based on its presence in key SEO elements, enabling you to determine if your page follows best practices or may face penalties due to excessive optimization. You can also automatically discover synonyms for each term to expand your vocabulary. The semantic areas connected to your main keyword are derived from real-time evaluations of your competitors, providing insights that can greatly refine your content strategy. This thorough method not only improves your SEO effectiveness but also provides you with the resources necessary to maintain a competitive edge. With these insights, you are better positioned to adapt your content in response to evolving search engine algorithms and user behavior.
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.
Integrations Supported
AWeber
ActiveCampaign
Constant Contact
HTML
HubSpot CRM
HubSpot Customer Platform
Mailchimp
Neota
OpenResty
Pipedream
Integrations Supported
AWeber
ActiveCampaign
Constant Contact
HTML
HubSpot CRM
HubSpot Customer Platform
Mailchimp
Neota
OpenResty
Pipedream
API Availability
Has API
API Availability
Has API
Pricing Information
$9.90 per month
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
Textfocus
Company Website
www.textfocus.net
Company Facts
Organization Name
TextRazor
Date Founded
2011
Company Location
United Kingdom
Company Website
www.textrazor.com
Categories and Features
SEO
A/B Testing
Artificial Intelligence (AI)
Auditing
Competitor Analysis
Content Management
Dashboard
Google Analytics Integration
Keyword Research Tools
Keyword Tracking
Link Management
Localization
Mobile Search Tracking
Rank Tracking
Revenue Management
User Management
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