Description
TextRazor is a comprehensive Natural Language Processing (NLP) API that provides fast and accurate text analysis capabilities. It is designed to extract meaningful information from text through features such as entity extraction, disambiguation, linking, keyphrase extraction, and automatic topic tagging and classification. Supporting 19 languages, TextRazor enables deep content analysis by extracting relations, typed dependencies, and synonyms, which are essential for context-aware semantic applications.
The API offers a complete text analysis infrastructure that can be deployed in the cloud or self-hosted, combining state-of-the-art NLP techniques with a comprehensive knowledge base of real-life facts. This allows users to rapidly extract value from documents, tweets, or web pages. TextRazor's high-performance machine learning stack is built for accuracy, speed, and robustness across varied writing styles, making it suitable for applications such as social media monitoring, enterprise search, recommendation systems, and ad targeting.
TextRazor provides flexible integration and deployment options, including on-premise, private cloud, and redistribution licensing. It is capable of processing thousands of words per second per core, with a distributed backend that handles tens of millions of documents per day. The API is designed for high availability and performance consistency, with daily updates to its models to incorporate new entities and language shifts.
Pricing plans include Free, Starter, Growth, Pro, and Custom tiers, with options for high throughput cloud subscriptions and on-premises solutions. TextRazor also offers special pricing for academic users. The API is easy to integrate with any language that can send HTTP requests and parse JSON responses, with official SDKs available for Python, PHP, and Java.
TextRazor's Core Features
Entity Extraction
Disambiguation and Linking
Keyphrase Extraction
Automatic Topic Tagging
Classification
Relation Extraction
Typed Dependencies
Synonym Extraction
Spelling Correction
Language Support
Preprocessing and Tokenizing
Custom Rules Engine
High Performance Machine Learning
Daily Model Updates
Flexible Deployment Options
How to use TextRazor?
Configure: Set up your API key and account
Integrate: Use SDKs or REST API for integration
Analyze: Send text data for processing
Optimize: Customize rules and patterns for specific needs
TextRazor's Use Cases
- Social Media Monitoring
- Enterprise Search
- Recommendation Systems
- Ad Targeting
- Content Classification
