OpenAI released two new transcription models: gpt-transcribe for batch processing and gpt-live-transcribe for real-time streaming. Both are designed to handle conditions that break conventional speech-to-text systems, including background noise, accents, mixed languages, and edge cases like short answers and spoken numbers.
The models accept custom vocabulary prompts, letting developers steer recognition toward domain-specific terms, names, and jargon before audio is processed. That single capability addresses one of the oldest failure modes in production transcription pipelines.
The full video walks through each failure mode with live demonstrations, not just cherry-picked clean audio. If you deploy voice interfaces, dictation tools, or meeting transcription at any scale, the multilingual and noise-handling segments alone justify the 2-minute runtime.
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