TextRazor
Customer messages contain names, places, products, and intent buried in unstructured text. Your AI agent uses TextRazor to extract entities, classify topics, identify relationships, and correct spelling in real time. Every conversation becomes structured, actionable data.
TextRazor gives your AI agent deep text analysis powers, from named entity recognition to topic classification and dependency parsing, all happening mid-conversation.
TextRazor
See how businesses use TextRazor-powered AI agents to understand customer messages at a deeper level, routing conversations smarter and extracting actionable insights.
A customer writes a long, detailed message about a billing error involving a specific product and their account manager. Your AI Agent runs TextRazor entity extraction and classification on the message, identifies it as a billing issue mentioning specific people and products, and routes the ticket to the billing team with extracted context. Support tickets reach the right department on the first touch, reducing transfer rates significantly.
Customers leave unstructured feedback across your support channels. Your AI Agent analyzes each message with TextRazor's topic extraction and entity recognition, identifying which products are mentioned, what topics recur (pricing, usability, performance), and what sentiment surrounds each. Product teams receive structured feedback reports instead of reading thousands of raw messages.
A customer types 'I cant acess my accont and the pasword reset dosnt work.' Your AI Agent runs TextRazor's spelling correction first, producing 'I can't access my account and the password reset doesn't work.' The cleaned text feeds into downstream processing, ensuring the agent correctly understands the issue and provides the right troubleshooting steps. No more misrouted tickets from typos.
TextRazor
FAQs
The agent sends message text to TextRazor's Extract Entities endpoint. TextRazor identifies mentions of people, organizations, locations, products, and more, linking them to knowledge bases like DBpedia and Freebase. The agent receives structured entity data with types, confidence scores, and Wikipedia URLs.
Yes. TextRazor's Custom Classifier Manager lets you define categories and training examples specific to your domain. The agent can create, update, and manage classifiers through the API. Once trained, these classifiers categorize incoming messages according to your business taxonomy.
Tars requires your TextRazor API key, which you can obtain from the TextRazor dashboard. This key provides access to all NLP endpoints including entity extraction, classification, topic extraction, spelling correction, and dependency parsing.
Yes. TextRazor supports multiple languages for entity extraction and text analysis. The agent can specify a language_override parameter when the input language differs from the default. Automatic language detection is also available for multilingual conversations.
TextRazor uses deep learning-based spelling correction that handles context-aware typo fixes, not just dictionary lookups. It considers surrounding words to select the most likely correction. The cleanup_mode parameter also preprocesses text by removing boilerplate and formatting artifacts.
No. Text is sent to TextRazor for analysis during the conversation and results are used in real time. Entity data, classifications, and topic extractions are not cached or stored on Tars servers between sessions.
Yes. TextRazor's Dictionary Manager allows the agent to create, update, and manage custom entity dictionaries. You can define domain-specific entities like product names, internal jargon, or proprietary terms that TextRazor should recognize during extraction.
Keyword matching looks for exact strings. TextRazor performs deep NLP analysis including entity disambiguation (distinguishing Apple the company from apple the fruit), relationship extraction, topic modeling, and grammatical parsing. It understands meaning, not just words, resulting in far more accurate message understanding.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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