Bad audio? What to fix before transcribing
Noise, echo, a quiet speaker, clipping: which problems a transcript survives, which a free fix helps with, and when it is faster to record again.
How AI transcription actually works - accuracy, languages and where your audio goes. Real-world numbers and how to get cleaner text from any recording.
Noise, echo, a quiet speaker, clipping: which problems a transcript survives, which a free fix helps with, and when it is faster to record again.
Full verbatim keeps every um, false start and cough; clean verbatim removes what the speaker did not mean to say; edited transcripts rewrite. Who needs which, what it costs in hours, and the honest answer about what an AI transcript is.
AI transcription reaches 90–97% word accuracy on clean audio - but the real number depends on your recording. What moves it, and how to get closer to perfect.
Interviews, therapy sessions and board calls are sensitive. Here's what actually happens to your audio when you transcribe it - and the questions to ask any tool before you upload.
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