Supabase Voice AI Integration — Voice Data to Postgres |

Store voice data in Supabase Postgres. Query conversations with SQL alongside your application data.

Overview

Store voice conversation data directly in your Supabase Postgres database. Query voice interactions alongside your application data with SQL.

Features

• Postgres Storage: Voice conversation data writes directly to your Supabase Postgres tables for SQL-based querying and analysis.
• Real-Time Subscriptions: Use Supabase real-time subscriptions to trigger actions when new voice conversation data arrives.
• Full Transcripts: Store complete voice conversation transcripts in Supabase for search, analysis, and compliance.
• SQL Analytics: Query voice data with SQL alongside your application data for custom analytics and reporting.
• Row-Level Security: Apply Supabase row-level security policies to voice data for access control and multi-tenancy.
• Edge Functions: Trigger Supabase Edge Functions from voice conversation events for custom processing and integrations.

How It Works

• Connect Your Supabase Project: Enter your Supabase project URL and API key to enable voice data storage.
• Configure Tables: Select or create Supabase tables for voice conversation data — conversations, transcripts, intents, and analytics.
• Map Columns: Map AnveVoice conversation fields to Supabase table columns for structured data storage.
• Activate & Verify: Turn on the integration and verify rows appear in Supabase after voice conversations.

Summary

• Store voice data in Supabase Postgres. Query conversations with SQL alongside your application data.
• Real-Time Subscriptions
• Adding AnveVoice to Supabase takes under 5 minutes and gives you full SQL access to voice conversation data.

Frequently Asked Questions

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