How to Transcribe a Long Recording Without Losing Track of It
Practical advice for hour-plus recordings: choosing a model, using auto-generated chapters, and reviewing a long transcript in pieces.
The Scriptorium team ·
A long recording — a multi-hour meeting, an audiobook chapter, a full-day workshop — transcribes the same way a short one does; the difference is entirely in how you handle the result afterwards. Nobody reads a three-hour transcript start to finish, so the goal is to make it possible to find and review in pieces.
Model choice matters more here
A faster, smaller model gets through a long file sooner; a larger model takes longer per hour of audio but catches more of what a smaller one misses. On a short clip that trade-off barely matters. On a multi-hour recording it is the difference between a transcript back in a few minutes and one you wait considerably longer for — pick based on whether you need a fast draft or the most accurate version you can get.
Let the transcript break itself into chapters
A long transcript is automatically split at its longest pauses into a handful of chapters, each labelled by the words that are distinctive to that stretch rather than a generic "Part 3". That turns one long wall of text into sections you can jump between, which matters far more on an hour-plus recording than on a five-minute one.
Reviewing without re-reading the whole thing
Combine chapters with search rather than reading linearly: skim the chapter list for the section you need, then search for the specific term or name you are looking for within it. Searching your transcripts covers how to phrase a query that actually finds what you remember hearing.
The free preview here covers a file up to 15 minutes and 25 MB — a genuinely long recording will need an account rather than the guest tier.
A note on single long takes
An audiobook chapter, a webinar recording or a full lecture recorded as one continuous take has no natural pause points the way a meeting with several agenda items does, so the automatic chapters will be less evenly spaced. That is expected — they are marking where the longest silences actually fall, not imposing an even structure on content that does not have one.