It reads the whole video so you do not have to
Scrubbing a two-hour recording for the six good minutes is the part that kills the habit. Soft Clipper reads the transcript end to end and comes back with a shortlist.
Transcript first
Existing captions are used when the source has them — that takes seconds. When there are none, the audio is transcribed with timestamps so every proposed clip maps to a real position in the video.
Clips, not chapters
A chapter tool splits a video into sections. This looks for something else: a segment that opens strongly, stands on its own, and stops before it drags.
Ask for what you want
Type a request in plain English and get timestamps back. Useful when you know the moment exists and cannot remember where it was.
What a proposed clip contains
Every suggestion arrives as something you can judge in a second, not a mystery timestamp.
| Field | Why it is there |
|---|---|
| Start and end | Trimmed to a sentence boundary so clips do not open mid-word. |
| Virality score | A number for sorting the shortlist. Useful for ranking ten suggestions; not a prediction, in this tool or any other. |
| Hook title | A short punchy line you can drop straight on screen as the clip's headline. |
| Caption and hashtags | A ready-to-paste post caption in the language the video is in, so the clip is not sitting in a folder waiting for you to write something. |
| Reason | One line on why this moment was picked, so you can disagree quickly. |
You are never locked into the suggestion — every clip's in and out points can be nudged by hand before rendering, and the preview updates as you move them.
Frequently asked questions
How does Soft Clipper decide what is a good clip?
Which AI model does it use?
Can I tell it what to look for?
What about videos with almost no talking?
Does my whole video get uploaded somewhere?
Stop hand-cutting clips
Load a video, get back a set of vertical clips with captions. One payment, yours forever.