· 2 min read
Automatic captions are useful when they give you a timed first draft. They become expensive when every correction requires rebuilding the project or when a display change quietly overwrites the source transcript. A fast workflow separates machine output, human corrections, and presentation.
Review in passes, not word by word forever
- Pass one: fix names, brands, numbers, and obvious recognition errors.
- Pass two: repair phrase boundaries, punctuation, and line breaks.
- Pass three: check script display and style inside the video frame.
- Final pass: watch the export with sound on and off.
Protect the timing while you correct the words
Most caption corrections should not change timing. Keep the canonical text and word timestamps available, store the user correction separately, and render the chosen display text from that structured source. This makes a correction recoverable and keeps script switching from triggering a new transcription.
Use a glossary for repeated vocabulary
If a client’s name or product appears in every video, record the preferred spelling so future reviews start closer to the finish line. A glossary is a suggestion layer: a direct user correction still wins.
Measure the workflow by correction effort
A faster first draft is not enough if the review takes longer. Track how many correction seconds a finished minute needs, which error classes repeat, and whether the exported result matches the preview. Those signals tell you where to improve next.