How to make clips with AI (free guide)

AI clipping tools can turn a three-hour stream or a long podcast into a stack of short vertical clips in minutes. They won't do the whole job for you, though. The clips that get views, and get approved in paid campaigns, still come from a person picking good moments, checking the edit and following the campaign rules. This guide walks through the full workflow, from choosing a campaign to posting.

1. Start with the campaign, not the tool

Before you open any editor, pick the campaign you're clipping for. The rules decide what you make. On ClipPay you can filter 98 live campaigns by platform and niche. When you open one, read the brief carefully and note:

2. The AI tools clippers use

Most tools fall into two groups: ones that find and cut moments from long videos, and ones that polish short clips. Names, features and prices change often, so check each tool's own site. ClipPay isn't affiliated with any of them.

A common setup is one clipper (OpusClip, Vizard or Klap) to find moments fast, then CapCut or Submagic to fix captions and pacing.

3. Step-by-step workflow

Step 1: Get the right source video

Use the footage the campaign points to, such as the creator's VODs, official podcast uploads or a provided Drive folder. Download in the best quality available. Fresh content usually beats old content, because people search for what just happened.

Step 2: Find the hooks

Let the AI suggest moments, but scan the transcript or timeline yourself too. Good clip moments are a strong reaction, a hot take, a funny exchange, a surprising number, or a story with a clear payoff. AI virality scores are a starting point, not a verdict. They often miss inside jokes and context that fans love.

Step 3: Let the AI cut, then fix the cut

Run the source through your clipping tool and pick the best 3–5 suggestions. Then trim each one by hand. Cut dead air at the start, end on the punchline or loop back to the opening, and keep most clips between 15 and 60 seconds unless the campaign says otherwise.

Step 4: Captions

Most viewers watch with the sound off, so captions matter. Use auto-captions from CapCut, Submagic or your clipper, then proofread every word, especially names, slang and numbers. Keep captions big, high-contrast and away from the bottom of the screen, where the app's buttons cover them.

Step 5: Format for 9:16

Export at 1080×1920 (vertical 9:16). For streams, a common layout is face-cam on top and gameplay below. For podcasts, keep the speaker's face centred and switch framing when the speaker changes. Check that auto-reframe didn't cut off faces or on-screen text.

Step 6: Hook in the first 2 seconds

The opening decides whether people keep watching. Start on the most interesting line or reaction, not on a greeting. A short text hook on screen ("He didn't expect this answer") helps, as long as it's honest about what the clip shows.

Step 7: Post on a steady schedule

Consistency beats bursts. Many clippers post one to three clips a day per account and watch which formats perform, then make more of those. Don't flood one account with near-identical clips, and follow any posting limits in the campaign brief. Submit each post link on the campaign platform within its time window.

4. Rules clippers break (and lose payouts for)

5. How payouts per 1K views work

Most campaigns pay a rate per 1,000 views (CPM). On ClipPay right now, the top rate is $3 per 1K views and the typical (median) rate is about $1. At $3 per 1K, a clip with 10,000 counted views would earn $30, and one with 100,000 would earn $300, before any per-clip cap.

Real earnings depend on a lot: many clips get few views, minimum view thresholds mean small clips may pay nothing, max payouts cap big winners, and budgets can run out. Treat it as performance-based work, not guaranteed income. Rates change daily, so check each campaign's current terms.

6. Find a campaign and start

Pick one campaign, make five clips with the workflow above, and see what performs. Then refine.

Browse paid clipping campaigns →

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