How to transcribe an interview with AI: Tips and features

AI speech-to-text tools can transcribe lengthy interviews in minutes, helping journalists, researchers, podcasters, and other users reduce manual work while preserving material for quotation, analysis, and editing. For high-accuracy uses such as journalism, academia, or law, the guide recommends verbatim transcription, which retains repetitions, false starts, and filler words, while clean transcription improves readability for uses such as converting podcast interviews into web Q&As. Accurate speaker attribution is emphasized, with multichannel recording using separate microphones presented as more reliable than automated speaker diarization when participants have similar voices, interrupt one another, or speak simultaneously. The guide also recommends capturing non-speech events such as laughter or sighs when tone and context matter, and using keyterm prompts to improve recognition of names, organizations, and specialist terminology. ElevenLabs offers these functions through its no-code Playground, which supports uploading, editing, and exporting transcripts, and through its Speech-to-Text API for integration into software platforms; its Scribe v2 model supports more than 90 languages and allows substantial keyterm customization.

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