About TextRazor
TextRazor is a natural language processing API that analyzes text to extract entities, relationships, and sentiment. It understands context and meaning from unstructured customer conversations, enabling businesses to turn raw messaging data into actionable insights.
Saysimple customers can leverage TextRazor to automatically categorize incoming WhatsApp and email messages, detect customer sentiment in real-time, and surface key information from conversations. This enables faster agent response times, smarter message routing, and better understanding of customer intent without manual review.
Popular use cases
Sentiment-Driven Message Prioritization
Agents receive hundreds of WhatsApp messages daily. TextRazor automatically detects negative sentiment in incoming messages, flagging urgent customer complaints so your team handles frustrated customers first. This reduces resolution time and improves customer satisfaction scores.
Automated Customer Intent Recognition
When a customer messages your WhatsApp Business account, TextRazor extracts their intent—whether they're asking about a product, requesting support, or wanting to schedule an appointment. Saysimple can then auto-route to the right agent or trigger relevant automations, reducing manual sorting.
Entity Extraction for CRM Enrichment
TextRazor pulls out key information from conversations—names, order numbers, dates, product mentions—and automatically populates customer records in your CRM. Your team spends less time manually logging details and more time solving customer problems.
