Text-Based Video Editor

Cut the sentence. Cut the footage.

Read your recording like a document. Remove a spoken passage from the edit, and the matching footage leaves the timeline.

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How it works

  1. 01

    Read the transcript

    Upload a video and wait for transcription. Read through the spoken content to decide which answers, explanations and takes belong in the finished piece.

  2. 02

    Remove the detour

    Select the sentence or passage you want to cut. Deleting it from the edit removes the corresponding video, without hunting for that sentence on a timeline.

  3. 03

    Check the join

    Play back the transition between the remaining passages. Listen for a complete thought and natural pacing before exporting the result.

An edit you can reason about in words

Imagine a tutorial that explains a step, detours into an unrelated story, then repeats the instruction. Find the detour in the transcript and remove that passage from the edit. Replay the join to make sure the remaining instruction still makes sense. This approach is especially useful when spoken content drives the video.

Read the editing guide

Common questions

Does changing text generate new speech?
This workflow cuts existing footage by removing spoken passages. It does not mean that typing a new sentence will make the speaker say it.
When should I use a timeline instead?
Use transcript editing to decide which spoken content stays. Check playback and use timeline-based finishing when the decision depends on visual timing, music or a precise transition.
Can I combine this with an AI rough cut?
Yes. Start with automated cleanup if it suits the recording, then review the transcript to refine individual passages before export.