AI BriefingElevenLabs Guide: How AI Call Transcription Works and How to Implement It
·2026.11.03 21:00
Key point
The guide explains the four-step transcription pipeline and notes that post-call processing is more accurate and cost-effective than real-time streaming.
Details
- Call transcription converts phone or video audio into searchable text using a four-step pipeline: capture, speech-to-text processing, formatting with timestamps and speaker labels, and delivery to CRMs or databases.
- ElevenLabs Scribe v2 supports transcription in over 90 languages with approximately 150ms model inference latency, while Scribe v2 Realtime enables live transcription for immediate accessibility and note-taking.
- Post-call batch transcription is generally more accurate and cost-effective for high-stakes compliance or large volumes, whereas real-time streaming is preferred for instant access and supporting non-native speakers or hard-of-hearing participants.
- Legality depends on jurisdiction; one-party consent laws allow recording by any participant, while all-party consent laws require explicit permission from everyone, with cross-border calls typically adhering to the stricter rule.
- Key selection criteria for transcription software include accuracy on low-quality phone audio, reliable speaker diarization, integration with existing CRMs, and compliance with standards like SOC-2 Type II, HIPAA, or GDPR.
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