AI video editing
text-based editing
What is text-based editing?
Text-based editing is a video editing approach where the software generates a transcript of the video and lets the editor work on that transcript like a document. Deleting, trimming, or rearranging words in the text applies the matching changes to the video automatically.
When you'd use it
- 1When you want to cut a recorded interview by deleting lines from a transcript.
- 2When the speaker's content is strong but the delivery needs selective trimming.
- 3When multiple editors need to review footage and mark cuts without touching a timeline.
- 4When you want to rearrange the order of spoken points without scrubbing through video.
- 5When captions need to match the final edit and you want both to update from the same source.
Example
An interviewer records a 30-minute conversation and uses text-based editing to cut it to 8 minutes by deleting paragraphs from the transcript, then exports the cut to a timeline editor to add B-roll and titles. The structural edit takes about 25 minutes, compared to an estimated 90 minutes on a traditional timeline.
Use cases
- 1Cutting a long interview down to its strongest answers by deleting transcript lines.
- 2Reordering a talking-head explanation so the most important point leads, by rearranging text.
- 3Trimming a product demo by highlighting and removing sections of the auto-generated transcript.
Make on-brand short-form video from the footage you already have.
