Video Watermark Remover API
WaveSpeedAI Video Watermark Remover — removes Kling and Seedance watermarks, logos, captions, and text from videos while preserving quality. Supports many formats and 10-minute files.
Specifically targets Kling and Seedance platform watermarks per the catalog description; also handles general logos, captions, and text overlays. Supports up to 10-minute files.
About the Video Watermark Remover API
What Video Watermark Remover does, how it fits in the WaveSpeedAI model lineup, and why teams reach for it.
Video Watermark Remover is a AI media editing model from WaveSpeedAI, available through the WaveSpeedAI REST API. WaveSpeedAI Video Watermark Remover — removes Kling and Seedance watermarks, logos, captions, and text from videos while preserving quality. Supports many formats and 10-minute files.
Specifically targets Kling and Seedance platform watermarks per the catalog description; also handles general logos, captions, and text overlays. Supports up to 10-minute files.
The Video Watermark Remover family on WaveSpeedAI ships 1 REST endpoint covering Ai-Remover workflow. Each variant carries its own pricing, parameter knobs, and example outputs — pick the one that matches your input modality and production constraints, or call several from the same API key to compose multi-step pipelines.
Run Video Watermark Remover through the same API key, billing account, and rate-limit envelope you use for the other 1,000+ AI models on WaveSpeedAI. No separate vendor setup, no per-provider SDKs, no per-vendor rate-limit envelopes — one integration covers everything from text-to-image and text-to-video through audio synthesis, 3D generation, upscaling, and editing.
All Video Watermark Remover API endpoints
1 endpoint available now on WaveSpeedAI — pick the variant that matches your workflow.
See Video Watermark Remover in action
Real outputs generated by the Video Watermark Remover API. Hover any video to preview, click to open the full-size viewer.
How to use the Video Watermark Remover API
Four steps from signup to a finished generation. Full Python, Node.js, and cURL examples are in the API section below.
- 1
Get an API key
Sign up for a WaveSpeedAI account and copy your API key from the dashboard. New accounts come with free starter credits — enough to run the playground a few dozen times before billing kicks in.
- 2
Submit a prediction
POST your input as JSON to https://api.wavespeed.ai/api/v3/wavespeed-ai/video-watermark-remover. The endpoint returns a prediction id immediately — generations are async so you don't hold an open connection during inference.
- 3
Poll for completion
GET https://api.wavespeed.ai/api/v3/predictions/{request_id}/result every 1-2 seconds. The response includes a status field; keep polling until it flips from"queued" or"processing" to"completed".
- 4
Read the output URL
Once status is"completed", read the URL from data.outputs[0]. The URL points to your generated media on the WaveSpeedAI CDN — image, video, audio, or 3D file depending on the Video Watermark Remover variant you called.
What you can build with Video Watermark Remover
Common workflows developers and creators use the Video Watermark Remover API for.
Strip Kling and Seedance watermarks
Catalog explicitly calls out these two as primary targets — the model is tuned for the watermark patterns those models produce. Useful for re-using your own paid generations across platforms that strip metadata.
Logo, caption, and text removal
Catalog claim: removes logos, captions, and text from videos while preserving quality. Useful for editorial clean-up, re-dubbing prep (remove burned-in subtitles), and re-branding workflows.
10-minute file support
Catalog claim: supports up to 10-minute files. Longer than many competing watermark removers; useful for full-episode content, lecture footage, and long-form social posts.
Stock footage clean-up
Remove preview watermarks from licensed footage after purchase, or clean royalty-free clips for production use. Confirm rights before removing watermarks you didn't produce.
Pre-edit pipeline pass
Strip overlays / captions / playback artifacts before importing into your NLE — gives the editor clean source. Pair with Video Upscaler Pro as a two-step polish pipeline.
Tips for prompting Video Watermark Remover
Practical advice for getting better outputs from Video Watermark Remover — drawn from the patterns that work across edit models in production pipelines.
Confirm rights before use
Verify you have permission to remove the watermark — the tool doesn't change the source content's licensing. Removing a watermark from properly-licensed footage is routine; removing from someone else's content can be infringement.
Cleaner source reconstructs cleaner
Heavy compression in the watermark region reduces reconstruction quality. If you can source a less-compressed copy, do that first — the remover handles a 12 Mbps source better than a 4 Mbps re-encode.
Static watermarks reconstruct cleanest
Logos in fixed positions over relatively static backgrounds yield the cleanest output. Moving overlays, animated logos, and watermarks over fast-cutting backgrounds may leave subtle artifacts visible in slow review.
Designed for batch automation
REST API makes scriptable batch jobs the right pattern — process hundreds of clips overnight rather than working through them one-by-one in an NLE. Pair with the WaveSpeedAI webhook callbacks to know when each finishes.
Pair with Video Upscaler Pro
Common pipeline: remove watermark → upscale → re-encode for delivery. Each step preserves quality from the previous; doing all three at once in a single editor would be slower and more lossy.
Video Watermark Remover API pricing
Pricing is per-output. The final charge scales with the parameters you set in each variant's playground (resolution, duration, output count, references).
| Endpoint | Type | Starting price |
|---|---|---|
| wavespeed-ai/video-watermark-remover | ai-remover | $0.050 |
Call the Video Watermark Remover API
Sign up for an API key at wavespeed.ai/accesskey, then submit a prediction via REST. The playground generates ready-to-paste samples for any combination of inputs.
HTTP example
# 1. Submit a prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/video-watermark-remover" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{}'
# 2. Poll the result until status = "completed"
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# Read the output URL from data.outputs[0].Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY
const result = await client.run("wavespeed-ai/video-watermark-remover", {});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/video-watermark-remover",
{}
)
print(output["outputs"][0]) # → URL of the generated outputVideo Watermark Remover vs alternatives
When to pick Video Watermark Remover over similar models on WaveSpeedAI.
Video Watermark Remover vs Adobe Premiere Content-Aware Fill
Premiere's Content-Aware Fill is editor-bound and requires manual masking per shot. Video Watermark Remover is a REST API — batch-friendly, automatable, doesn't require an editor seat, and is tuned specifically for Kling/Seedance watermark patterns.
Video Watermark Remover vs HitPaw Video Watermark Remover
HitPaw is a desktop app for interactive use. Video Watermark Remover is API-first — better for SaaS integration, scheduled batch jobs, and pipeline automation. Supports up to 10-minute files.
Video Watermark Remover vs Wan 2.2 Video-Edit
Wan 2.2 Video-Edit is a general prompt-driven video editing tool that requires explicit mask and prompt input. Video Watermark Remover is specialized + zero-shot — no mask required, tuned for the specific watermark removal task.
Video Watermark Remover API — Frequently asked questions
Pricing, license, integration — common questions about running Video Watermark Remover on WaveSpeedAI.
What is the Video Watermark Remover API?
Video Watermark Remover is a WaveSpeedAI edit model exposed as a REST API on WaveSpeedAI. WaveSpeedAI Video Watermark Remover — removes Kling and Seedance watermarks, logos, captions, and text from videos while preserving quality. Supports many formats and 10-minute files. You can call it programmatically or try it from the playground linked above.
How do I call the Video Watermark Remover API?
Sign up for a WaveSpeedAI account, copy your API key from /accesskey, then POST to https://api.wavespeed.ai/api/v3/wavespeed-ai/video-watermark-remover with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to "completed", then read the output URL from data.outputs[0]. Full Python / Node.js / cURL examples are above.
How much does the Video Watermark Remover API cost?
Video Watermark Remover starts at $0.050 per run. The exact cost scales with the parameters you set (resolution, duration, output count, references). The live cost preview next to the Generate button in the playground shows the exact price for your current input.
Which Video Watermark Remover variants are available?
WaveSpeedAI hosts 1 Video Watermark Remover endpoints: wavespeed-ai/video-watermark-remover. Each variant has its own playground page and pricing.
Can I use Video Watermark Remover outputs commercially?
Commercial usage rights follow the WaveSpeedAI model license. Most WaveSpeedAI models permit commercial output use; see each model's playground page for the specific license summary, and WaveSpeedAI's Terms of Service for platform-level conditions.
Why use Video Watermark Remover on WaveSpeedAI instead of going direct?
One API key + one billing account across Video Watermark Remover AND 1,000+ other AI models from other providers. No per-vendor SDK setup, no separate rate-limit envelopes, no rewrite-per-vendor integration code. Pricing is typically at parity with or below WaveSpeedAI's direct API.
About WaveSpeedAI
The team behind Video Watermark Remover and the broader WaveSpeedAI model lineup on WaveSpeedAI.
WaveSpeedAI runs an inference platform that hosts 1,000+ AI models from every major provider — ByteDance, Google, OpenAI, Alibaba, Kuaishou, ElevenLabs, and dozens of independent labs — behind one API key, one billing account, and one rate-limit envelope. WaveSpeedAI also ships first-party models (Image / Video Upscalers, Watermark Removers, Animate, InfiniteTalk) tuned for production pipelines.
Start building with Video Watermark Remover on WaveSpeedAI
Free starter credits on signup. One API key across 1,000+ AI models from WaveSpeedAI and every other provider.