Use case 2
Extract entities from documents
Many business processes depend on extracting useful information from contracts, tickets, articles, and internal documents. AI workers can use TextRazor to detect entities, topics, and relationships in text, then send that structured data into operations, knowledge management, or document processing workflows. This helps teams reduce repetitive reading and speed up downstream automation.
Your Textrazor AI Worker
Textrazor AI Worker
Active
You: Analyze new demo requests, website form submissions, and SDR call notes from this week. Detect buying intent, named competitors, product features mentioned, and urgency signals, then rank the best leads for fo...
Analyzing text for intent, urgency, and competitor mentions...
Ranking leads by buying signals and follow-up priority...
47 high-intent leads identified for immediate outreach.
The worker turned scattered text signals into a ranked sales follow-up list by identifying urgency, competitor mentions, and product interest inside forms and call notes...
47Qualified leads surfaced
72Follow-up time reduced
6 hoursBeforeto9 minWith Toolhouse