artificial-intelligence · ai-document-extraction · 0 triggers · 6 actions
TextRazor is a natural language processing API that extracts meaning, entities, and relationships from text, powering advanced content analysis and sentiment detection Add TextRazor to your Stream Deck workflows with guided setup for the connection details it needs.
Add TextRazor to a workflow and pair it with a Stream Deck button to run it in one press — handy for artificial-intelligence tasks. Combine it with OBS, your Elgato tools, or any other app you connect to build a routine that fits how you work.
Browse all templatesSteps your workflow can perform in TextRazor.
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.
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 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 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. The API returns many entities by default; filter by relevanceScore and confidenceScore thresholds to retain only meaningful results.
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.
This tool manages custom classifiers in TextRazor, allowing users to create, update, and manage custom classification categories.
TextRazor is a natural language processing API that extracts meaning, entities, and relationships from text, powering advanced content analysis and sentiment detection
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Follow the setup prompts for TextRazor. Conductor Deck handles the app authorization or required connection details inside the workflow builder.
Add a TextRazor action to your visual workflow canvas. Configure the options you need, then connect it to other steps.
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