Call transcription is the process of converting recorded phone audio into written text. Modern transcription uses speech-to-text models that handle multiple speakers, accents, background noise, and even multiple languages in the same call.
Transcripts are useful for: searching past conversations, training and quality review, compliance and audit trails, summarization for follow-up, and CRM enrichment.
Transcripts can be generated in real time during the call (used by AI receptionists to drive their responses) or after the call ends (used for record-keeping and analysis).
HOW CALLARA USES THIS
Every Callara call comes with a full transcript, an AI-written summary, and the raw audio — searchable, exportable, and available in your dashboard.
Related terms
AI Receptionist
Software that answers business calls in a human-like voice, qualifies callers, and books appointments.
Loi 25 (Law 25)
Quebec's modernized privacy law governing how businesses collect, use, store, and disclose personal information.
PIPEDA
Canada's federal privacy law governing how private-sector businesses handle personal information.
