# TextRazor

TextRazor is a natural language processing API that extracts meaning, entities, and relationships from text, powering advanced content analysis and sentiment detection

- **Category:** artificial intelligence
- **Auth:** API_KEY
- **Tools:** 13
- **Triggers:** 0
- **Slug:** `TEXTRAZOR`
- **Version:** 20260211_00

## Tools

### Get Account Information

**Slug:** `TEXTRAZOR_ACCOUNT_INFO`

This tool retrieves comprehensive information about a TextRazor account, providing essential details about the account's status, usage, and limits. It returns an Account object containing properties such as the current subscription plan, concurrent request limits, and daily usage among others, making it crucial for monitoring API usage, managing requests, and ensuring compliance with subscription limits.

### Classify Text

**Slug:** `TEXTRAZOR_CLASSIFY_TEXT`

This tool will classify text into predefined categories using TextRazor's classification capabilities. It takes input text, optional cleanup mode and language, and returns a list of relevant categories with their confidence scores from the analysis. The tool supports various built-in classifiers including: - textrazor_iab: IAB QAG segments - textrazor_iab_content_taxonomy_3.0: IAB Content Taxonomy v3.0 (2022) - textrazor_mediatopics_2023Q1: Latest IPTC Media Topics (March 2023) - And other versions of these taxonomies

### Manage Custom Classifiers

**Slug:** `TEXTRAZOR_CUSTOM_CLASSIFIER_MANAGER`

This tool manages custom classifiers in TextRazor, allowing users to create, update, and manage custom classification categories.

### Analyze Dependency Trees

**Slug:** `TEXTRAZOR_DEPENDENCY_TREES_ACTION`

The DependencyTreesAction analyzes the grammatical relationships between words in text by creating dependency trees. It provides detailed syntactic analysis by identifying the grammatical relationships between words and their parent words in a sentence. This tool is useful for: - Understanding sentence structure - Analyzing grammatical relationships - Parsing complex sentences - Supporting advanced linguistic analysis tasks

### Dictionary Manager

**Slug:** `TEXTRAZOR_DICTIONARY_MANAGER`

Manage custom entity dictionaries in TextRazor for enhanced named entity recognition. This tool enables you to create and manage dictionaries of domain-specific entities (e.g., product names, company names, technical terms) that TextRazor will recognize in text analysis. Operations include: - Creating new dictionaries with configurable matching rules - Listing all available dictionaries - Retrieving dictionary details and configuration - Deleting dictionaries - Adding, retrieving, and removing dictionary entries Note: Dictionaries created here can be used in text analysis by specifying their IDs in the 'entityDictionaries' parameter of TextRazor analysis requests.

### Extract Entailments from Text

**Slug:** `TEXTRAZOR_EXTRACT_ENTAILMENTS`

This tool extracts entailments from text using TextRazor's API. It identifies words or phrases that can be logically inferred from the given text by analyzing logical implications and relationships.

### Extract Named Entities from Text

**Slug:** `TEXTRAZOR_EXTRACT_ENTITIES`

Extract named entities (people, places, companies, etc.) from text using TextRazor's entity extraction API. The tool will identify and classify named entities within the provided text, returning detailed information about each entity including its type, confidence score, and relevance score.

### Extract Phrases from Text

**Slug:** `TEXTRAZOR_EXTRACT_PHRASES`

The ExtractPhrases action extracts meaningful phrases from input text using TextRazor's phrase extraction capability. It analyzes text to identify important phrases and multi-word expressions that aid in tasks like content analysis, keyword extraction, and summarization.

### Extract Grammatical Relations from Text

**Slug:** `TEXTRAZOR_EXTRACT_RELATIONS`

Extract grammatical relations from text using TextRazor's NLP API. This tool identifies relationships between words in sentences, including subjects, objects, and predicates. The tool returns structured data showing how different parts of sentences relate to each other, useful for understanding sentence structure, semantic analysis, and information extraction tasks. Each relation includes the predicate word positions and parameters (SUBJECT, OBJECT, OTHER) with their corresponding word positions within sentences.

### Extract Word Senses

**Slug:** `TEXTRAZOR_EXTRACT_WORD_SENSES`

Performs word sense disambiguation to identify the most likely meanings of words in context. Returns WordNet 3.1 synset IDs with confidence scores for each word, along with linguistic metadata (part of speech, lemma, stem, position). Useful for semantic analysis, understanding ambiguous words, and natural language understanding tasks.

### Spelling Correction

**Slug:** `TEXTRAZOR_SPELLING_CORRECTION`

Performs spelling correction analysis on text using TextRazor's deep spelling correction system. Returns all words from the text with context-aware spelling suggestions for potentially misspelled words. Each suggestion includes a confidence score to help rank corrections by likelihood.

### Analyze Content with TextRazor

**Slug:** `TEXTRAZOR_TEXT_RAZOR_ANALYZE_CONTENT`

A comprehensive content analysis tool that combines multiple TextRazor extractors to perform a complete analysis of the input text. This action allows users to analyze text content with multiple extractors in a single API call.

### Extract Topics from Text

**Slug:** `TEXTRAZOR_TOPIC_EXTRACTION`

A tool to extract topics from text using TextRazor's topic extraction capabilities. Topics represent the main themes and concepts discussed in the text, with relevance scores indicating their importance to the document.
