Gemini Transcribe Is Getting Better at Hearing What Actually Matters

Agora describes how production voice agents require speech recognition that not only captures spoken words accurately but also converts conversational input into reliable data for software systems such as CRMs, scheduling tools, APIs, and payment workflows. Its Gemini 3.5 Transcribe Live integration offers VERBATIM mode, which preserves fillers, repetitions, and corrections for conversational fidelity, and SMART mode, which cleans disfluencies, resolves self-corrections, formats details such as emails and phone numbers, and produces more structured machine-ready transcripts. The distinction is intended to help developers balance low-latency conversational interactions with the need for accurate tool arguments and structured records, particularly when users provide messy or changing information. Smart Transcription is also available for recorded and offline workflows, while simplified language configuration supports automatic language detection, multilingual speech, and code-switching. The broader argument is that, for action-oriented voice agents, transcription quality depends not only on recognizing speech but on safely bridging human conversation and deterministic software operations.

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