Automatic transcription is very good and getting better, but "very good" isn't "flawless." Knowing what moves the needle — and what to check afterward — saves you from either over-trusting or over-editing the result.

What accuracy actually depends on

The single biggest factor is audio quality, not the tool. In rough order of impact:

Where errors show up

When mistakes happen, they cluster in predictable places: proper nouns, brand and product names, technical terms, numbers, and the boundaries where speakers overlap. General prose is usually clean.

Tip: Every finished VTS transcript shows an estimated confidence score. Use it to triage — high confidence needs a skim, low confidence needs a closer read against the audio.

A fast review pass

You don't need to re-listen to everything. Search the transcript for the names and terms you know appear, fix those, then read the low-confidence sections against the recording. For most clean audio that's a few minutes of cleanup on a transcript that would have taken an hour to type.

The honest summary: expect a strong draft, not a finished document. On good audio the draft is nearly final; on bad audio, fix the audio before you fix the text.

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