AI Data Extraction
Extract structured information from voice conversations automatically using openai@v2 and javascript@v1 actions. Capture names, addresses, order numbers, preferences, and any custom field — push to your systems via fetch@v2 in real time.
Overview
AI Data Extraction turns unstructured voice conversations into structured, actionable data. Instead of agents manually entering call notes, Callr's AI listens to the conversation and extracts exactly the fields you define — names, addresses, order numbers, product preferences, appointment times, or any custom schema.
How it works
Configure openai@v2 with a system prompt that defines your extraction schema. During or after the call, the AI processes the conversation and outputs structured JSON. Use javascript@v1 to validate and transform the extracted data, then push it to your CRM, ERP, or database via fetch@v2.
Use cases
Insurance: extract policy details and claim information from customer calls. E-commerce: capture order modifications and shipping preferences. Real estate: extract property requirements and budget from inquiry calls. Healthcare: capture appointment details and patient information with compliance controls.
Others features
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Order numbers in just one click in over 220 countries, including premium, vanity or toll-numbers.
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