AI finds the passage. You finish the edit.

Read the reason for a suggested clip and listen to it with the surrounding context. Keep the idea if it serves your audience. Change the boundaries if the AI omitted a setup line or included a second topic. The suggestion reduces the search through the recording; it does not replace your judgment.

A caption treatment that looks good over a talking head may cover the key information in a screen demonstration. Adjust the frame, correct the transcript, and preview the text as a single composition. Visual edits preview in the browser so you can compare choices before exporting.

Clyps is built around turning an existing recording into finished short clips. If your project needs new generated scenes, complex compositing, or a long sequence assembled from many source files, plan those steps in the tools that support them. Use Clyps where clip selection, framing, and speech captions are the main work.

Suppose Clyps suggests a passage in which a guest explains a common customer mistake. First check the context and extend the opening if the customer’s problem is unnamed. Next choose the frame: keep the guest alone for the explanation or retain both speakers if the exchange matters. Correct the product name in the transcript, then choose a caption treatment that does not cover the guest’s gestures. Preview the passage with those choices together before exporting. Each decision solves a different problem, so evaluate the final composition rather than approving the range, crop, and text as unrelated pieces.

An editor cannot recover a missing explanation, an offscreen object, or unintelligible audio simply by changing the presentation. Return to the recording when an issue comes from the source. Select a cleaner candidate if possible, or record the missing material in your normal production workflow. That judgment is part of making a useful finished video.