What is TextRazor?
TextRazor provides advanced natural language processing capabilities through its API, enabling users to extract structured information from unstructured text content. The platform combines state-of-the-art NLP techniques with a comprehensive knowledgebase to identify entities, disambiguate and link them, extract keyphrases, and perform automatic topic tagging and classification across multiple languages.
The service offers deep content analysis to extract semantic relationships, typed dependencies between words, and synonyms, facilitating context-aware applications. TextRazor supports classification according to IAB Content and IPTC Media Topic taxonomies and is available as both cloud-based and self-hosted solutions for flexible deployment options.
Features
- Entity Extraction, Disambiguation and Linking: Identifies and connects entities to knowledge bases
- Keyphrase Extraction: Automatically extracts important phrases from text
- Automatic Topic Tagging and Classification: Categorizes content using IAB and IPTC taxonomies
- Semantic Relationship Analysis: Extracts relations and typed dependencies between words
- Multilingual Support: Processes text in 19 different languages
- Custom Logic Engine: Allows creation of custom rules for text analysis
- Flexible Deployment: Available as cloud API or self-hosted solution
Use Cases
- Content categorization and tagging for media organizations
- Entity extraction from financial documents and reports
- Semantic analysis for research and academic papers
- Keyphrase extraction for SEO optimization
- Topic classification for content management systems
- Relationship extraction for investigative journalism
- Multilingual text analysis for global applications
FAQs
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What languages does TextRazor support?
TextRazor supports text analysis in 19 different languages. -
What is the free tier limit?
The free tier includes 500 requests per day with 2 max concurrent requests. -
Can TextRazor be self-hosted?
Yes, TextRazor offers both cloud-based and self-hosted deployment options. -
What taxonomies does TextRazor use for classification?
TextRazor classifies content using the full IAB Content and IPTC Media Topic taxonomies. -
How are requests calculated?
A single request can process up to 10KB of text using any number of extractors, with larger documents consuming multiple requests.
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TextRazor Uptime Monitor
Average Uptime
100%
Average Response Time
150 ms
