Learn what Call Transcription is, how it supports AI voice agents, and why accurate transcriptions unlock better automation, analytics, and customer experiences.
Call Transcription is the process of converting spoken conversations during a phone call into written text. Think of it as real time text to speech that allows voice interactions to be captured, analyzed, and acted upon across business systems.
In AI-driven systems, call transcription happens automatically and in real time enabling not just record-keeping, but also fueling advanced services like intent recognition, sentiment analysis, compliance tracking, and training data generation.
For businesses adopting AI voice agents, transcription forms the connective tissue between spoken language and business action.
High-quality call transcription helps teams:
Unlock deeper call analytics, surfacing trends and operational insights.
Enable real-time decision-making, such as triggering workflows based on keywords.
Support compliance by creating auditable conversation records.
Fuel AI learning by building better training datasets for fine-tuning models.
Automatic Speech Recognition (ASR)
Transcribes live caller speech into text during the conversation.
Large Language Models (LLMs)
Structures the text for easier analysis—tagging intents, sentiments, and actions.
Storage and Retrieval
Transcripts are logged in CRMs, ticketing systems, or databases, tied to customer profiles or case records.
Optional Summarization
Advanced AI systems can auto-generate conversation summaries to make transcripts easier to review.
A B2B insurance provider uses Retell AI to transcribe all incoming claims calls. Transcripts are automatically tagged by claim type (e.g., auto, home, health) and pushed into their CRM, streamlining downstream case processing by 40%.
With high-fidelity call transcription, every conversation becomes a resource—improving operational visibility, accelerating customer service, and training future AI agents to perform even better.
Revolutionize your call operation with Retell.
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