Guide to setting up post-call data extraction — turning unstructured voice conversations into structured JSON data. Sentiment, amounts, dates, and custom fields.
INR 0.02
Per Extraction
<3s
Processing Time
Custom
Field Types
Trusted by businesses worldwide
Per Extraction
Processing Time
Field Types
Output Format
Challenge, solution, and results
Voice conversations are rich with data but it's trapped in unstructured audio. Manually listening to recordings is expensive. You need sentiment, payment commitments, lead scores — as structured data for your CRM.
Configure an extraction template with the fields you need (sentiment, amounts, dates, booleans, enums). The system automatically runs LLM-based extraction on every call transcript. Results stored as structured JSON — ready for CRM, analytics, or exports.
130+ extractions in production. INR 0.02 per extraction. Under 3 seconds processing time. Real example: municipal tax recovery extracts citizen_sentiment, payment_commitment, escalation_required, and call_summary automatically.
From setup to results in 3 steps
Set up your AI voice agent with language, industry, and call flow preferences in under 10 minutes.
Connect your phone number and launch. Test with sample calls, then go live with real customers.
Track call outcomes, success rates, and extracted data in real-time. Optimize continuously.
AI-powered phone calls from ₹6/min — or bring your own AI keys and pay just ₹1.5/min platform fee
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