How to Use CapCut AI Tools Better than 99% of Editors
Demonstrates an end-to-end all-in-one desktop editor workflow for consistent character dialogue generation and automated transcript-based rough cutting.
What this lesson covers
Youri van Hofwegen demonstrates how to produce a complete travel vlog inside CapCut desktop using built-in AI image and video generation tools. He covers creating multi-panel character reference sheets, generating 30-second synchronized dialogue clips with Seedance 2.5, and automated filler word removal.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 00:56 ↗
Creating a 3-panel reference sheet (front body without head, rear body, close-up face) on a neutral gray background maintains outfit and facial consistency across different lighting setups.
- 02:46 ↗
Seedance 2.5 within CapCut can generate up to 30 seconds of continuous footage with native dialogue audio and matched lip synchronization in a single pass.
- 03:17 ↗
Prompting scripted dialogue with natural stutters and pauses directly in the prompt box yields realistic facial expressions and eye movement in AI video generation.
- 05:13 ↗
Swapping from Seedance 2.5 to Seedance 1.5 Pro for simple B-roll shots without dialogue saves roughly seven times the credit cost.
- 07:07 ↗
CapCut Pro's transcript tool automatically identifies pauses, repetitions, and filler words across generated AI video for rapid timeline trimming.
Workflow outlined in the video
- Open CapCut Desktop and navigate to the Generate section on the left media panel.
- Generate a 3-panel character reference sheet using AI Image set to 16:9 on a flat gray background.
- Attach the character sheet as an omni-reference in AI Video and select Seedance 2.5 to generate a 30-second dialogue scene with scripted speech and audio enabled.
- Generate complementary B-roll using lower-cost models like Seedance 1.5 Pro or Seedream 4.5 to optimize credit usage.
- Right-click the generated video on the timeline and select Transcript to auto-detect and remove unwanted filler words and pauses.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
Explore the tools
How to interpret the numbers
14,286 views captured 2 October 2026. ReelStack recommendation score: 53/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 0.88× views vs 15 other channel videos observed at a similar age. View-evidence factor 93% (views / (views + 1,000))
- 25% freshness: 97/100 with a 14-day half-life
- Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
- 10% engagement: 4/100; likes + 4× comments, smoothed with a 500-view neutral prior