This is the workflow version of subtitle removal — for when the goal isn't just "clean clip" but "clean master I can re-caption." For the plain button-by-button mechanics (AI vs. manual selection), see the base subtitle removal tutorial; this covers how I fit it into three repurposing jobs. Everything here assumes footage you own or are licensed to redistribute.
1. Pick the workflow page for your job
There's a scene page tuned to each of the three, and each one embeds the same subtitle tool with copy for that job:
- Short-drama localization — clear the original-language captions to re-subtitle or dub for a new market.
- TikTok e-commerce repurposing — strip the original creator's captions and callouts before re-editing.
- Clipping workflow — drop the source's lower-thirds and auto-captions when cutting a long video into shorts.
Or just start from the subtitle removal tool directly — it's the same engine.
2. Upload and clear the original text
Upload your clip and let the tool detect the caption region, or draw a manual box for text in an unusual spot (callouts, lower-thirds, corner credits — not only a bottom strip). It rebuilds the background behind the text rather than blurring it, so the frame looks untouched.
3. Preview before you batch
Run the free preview — first 5 seconds, full resolution, no watermark — and confirm the band cleaned up. This matters most on volume work: dozens of short-drama episodes, or a stack of clip candidates. Verify on one before committing credits across the batch.
4. Export the clean master, then re-caption
Log in and use credits to export at source resolution. That clean master goes into your captioning or editing tool for the new subtitles or dub — this step removes the old text, it doesn't translate or add the new captions itself.
If the same footage also carries a platform or app watermark, clear that too — see the watermark guide. For the three workflows in more detail, read how I strip subtitles when localizing or repurposing.
