Video Watermark Remover
Playground
Try it on WavespeedAI!The AI Video Watermark Remover is our flagship model designed to remove Sora 2 watermarks, logos, captions, and unwanted text from videos without compromising quality. Supporting a wide range of formats, it’s fast, efficient, and processes with the highest quality. Whether your video is a few seconds or several minutes long, we can handle it all. Our endpoint starts with $0.05 per 5 seconds video and supports a maximum video duration of 10 minutes.
Features
AI Video Watermark Remover
Remove Sora 2 watermarks, logos, captions, lower-thirds, and other unwanted on-screen text—while preserving the original look of your footage. Upload your video and get a clean result with minimal artifacts. If you need upscaling instead, try our AI Video Upscaler. No local setup required!
Why it looks great
- Temporal-aware inpainting: avoids flicker, keeps motion stable across frames.
- Clean plate reconstruction: rebuilds occluded details (textures, grain, lighting) beneath watermarks and captions.
- Smart text/logo targeting: robust to semi-transparent overlays, moving corner bugs, ticker bars, and burned-in subs.
- Edge & texture fidelity: preserves edges and fine detail without smearing or over-smoothing.
- Adaptive masking: optional user hints accelerate and improve results on complex, fast-moving overlays.
Limits and Performance
- Max clip length per job: up to 10 minutes
- Processing speed: approximately 5–20 seconds of wall time to process 1 second of video (varies by overlay complexity, resolution, and queue load)
Pricing
Per-second billing with a 5-second minimum. The table below lists prices per 5 seconds for easy comparison.
Task | Cost per 5 seconds |
---|---|
Watermark Removal | $0.05 |
Billing Rules
- Minimum charge: 5 seconds
- Per-second rate = (price per 5 seconds) ÷ 5
- Billed duration = video length in seconds (rounded up), with a 5-second minimum
- Total cost = billed duration × per-second rate
How to Use
- Upload video: Upload the video you want to deal with.
- Submit the job: Click the Run button.
- Preview & download: review the cleaned clip and download it.
Notes
- Longer videos will require longer processing times.
- Please ensure your video upload format and URL are correct.
- The price displayed on the “Run” button is only an estimated reference; the final, accurate price will be based on the actual deduction.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/video-watermark-remover" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
Parameter | Type | Required | Default | Range | Description |
---|---|---|---|---|---|
video | string | Yes | - | The video for generating the output. |
Response Parameters
Parameter | Type | Description |
---|---|---|
code | integer | HTTP status code (e.g., 200 for success) |
message | string | Status message (e.g., “success”) |
data.id | string | Unique identifier for the prediction, Task Id |
data.model | string | Model ID used for the prediction |
data.outputs | array | Array of URLs to the generated content (empty when status is not completed ) |
data.urls | object | Object containing related API endpoints |
data.urls.get | string | URL to retrieve the prediction result |
data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
data.status | string | Status of the task: created , processing , completed , or failed |
data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
data.error | string | Error message (empty if no error occurred) |
data.timings | object | Object containing timing details |
data.timings.inference | integer | Inference time in milliseconds |