Call Transcription
Automatically transcribe calls with speaker diarization using startRecording@v1. Generate searchable text from every conversation. Feed transcripts to AI for summarization, intent detection, and data extraction.
Overview
Callr automatically transcribes recorded calls, producing searchable text with speaker diarization (who said what). Transcripts are the foundation for AI-powered analysis — summarization, intent detection, sentiment analysis, and structured data extraction.
How It Works
Enable recording with startRecording@v1. When the call ends, Callr processes the audio and generates a transcript with speaker labels. The transcript is available via the recording pre-defined variable in the hangup branch, ready for AI processing or backend push.
AI Pipeline
Chain transcription with AI analysis: pass the transcript to openai@v2 or any LLM via fetch@v2 to extract summaries, detect call intent, score sentiment, and pull structured data (names, dates, amounts). All automated within the call flow — no batch processing.
Use Cases
Call center QA: searchable archive of all conversations. Compliance: document what was said on recorded calls. Sales coaching: review transcripts for improvement areas. Lead qualification: auto-extract caller intent and requirements.
Others features
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