AI Video Clipper: Find and Trim the Moments You Want

An AI video clipper can find a moment from a description and cut it out without making you hunt for timestamps. In Pipe2.ai Video Trim, select source footage from your library, describe what to keep or remove, and receive separate MP4 clips or one cleaned video.

Verified against the current workflow, September 2026: Video Trim requires a library video and natural-language instructions. Timestamps and transcripts are optional, each returned video is at most two minutes, and a run can return no more than ten clips.

Clip a video in three steps

1. Choose the source. Add the footage to your Pipe2.ai library, then select that video in Video Trim.
2. Write the editing request. Name the event or topic, whether you want separate clips or one cleaned video, and any useful count or duration: “Find the part where the guests discuss pricing, about 20 seconds” or “Return three surprising facts, 10–15 seconds each.”
3. Review the outputs. Each selected moment becomes a reusable video asset. Check every cut, keep the useful versions, and continue with reframing or captions when needed.

The maximum-output control accepts 1 to 10. The maximum duration control accepts 1 to 120 seconds and applies to every returned video. These are safety limits, not promises: the agent can return fewer clips when the source does not contain enough distinct matches.

Choose where the clip starts and ends

If you already know the boundaries, put both timestamps in the request: “Return one clip from 00:12 to 00:32.” Video Trim treats explicit start and end times as an exact extraction request. Keep the interval within the two-minute output limit, and set the maximum duration high enough to contain it.

If you know the moment but not its boundaries, describe the action or conversation instead: “Keep the guest’s explanation of the price change, including the question that introduces it.” This gives the editor room to include context. Watch the opening and ending of the returned clip: a new viewer should understand the subject, and the cut should not interrupt a word or leave the answer unfinished.

Describe what the clip should contain

Useful instructions identify evidence in the footage rather than relying on vague praise:

• “Find the first time the guest explains the pricing change.”
• “Return the exchange where both speakers disagree about the launch.”
• “Find three distinct facts about battery life, 10–15 seconds each.”

For one known event, omit the count and give a target duration only if it matters. For a batch, state both the desired count and length. “Find three claims about battery life” gives the clipper a clearer test than “make it interesting.” Timestamps can still help when you know them, but they are not required.

Remove material instead of extracting moments

Video Trim can also produce one cleaned version of the source. State exactly what should disappear and explicitly ask for a cleaned video, for example: “Remove unambiguous filler words and pauses longer than two seconds; return one cleaned video.”

Use this mode only when the rule is clear enough to check. A request such as “remove the boring parts” leaves too much room for interpretation. Always watch the cleaned result for timing, continuity, and meaning before publishing it.

Finish the selected clips

Each output is a normal video asset, so you can reuse it in later pipelines:

1. Send it to Video Reframe for a 9:16 or 1:1 social crop.
2. Run Transcription if you need an SRT for the clip.
3. Use Captions to burn the text into the finished MP4.

For a full short-form sequence, follow the guide to turning a long video into Shorts and Reels. Keep the source and selected clips as separate assets. If the first interpretation misses the moment, make the instruction more specific or tighten the duration limit and run Video Trim again.

A practical first request

Start with a conversation you know well and ask: “Find the part where they disagree about pricing, about 20 seconds.” Check whether the clip contains the complete exchange. Then request: “Find three distinct claims about pricing, 10–15 seconds each.” Comparing those results shows how count, subject, and duration change the edit without requiring a manual timeline search.