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Video Watermark Remover API

WaveSpeedAI Video Watermark Remover — strip watermarks, logos, captions, or any unwanted overlay from videos up to 10 minutes long, with background reconstruction that holds across motion.

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 — strip watermarks, logos, captions, or any unwanted overlay from videos up to 10 minutes long, with background reconstruction that holds across motion.

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. 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. 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. 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. 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.

Stock footage clean-up

Remove preview watermarks from licensed footage after purchase, or clean royalty-free clips for production. Faster than manual rotoscoping in NLE software.

stocklicenseclean-up

Logo replacement preparation

Strip existing logos from video before re-branding or white-labelling. The reconstructed background is clean enough to overlay a new logo without artifacts.

logorebrandwhite-label

Caption removal for re-dubbing

Remove burned-in subtitles or captions before re-dubbing for a new market — useful for content localization workflows.

captionsubtitlelocalization

UGC content sanitization

Strip platform watermarks (TikTok, Douyin, etc.) from user-generated content before re-using on other platforms. Confirm rights before use.

ugcsanitizecross-platform

Pre-edit clean-up

Strip overlays / captions / playback artifacts before importing into your NLE — gives the editor clean source to work from.

pre-editnlepipeline

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.

Mask precisely — tight masks beat loose ones

Loose masks bleed edits into surrounding regions and produce visible seams. Spend the extra 30 seconds in your mask editor to tighten the boundary — the difference in output quality is usually larger than any prompt-engineering tweak.

Reference the surrounding scene in your edit prompt

Don't just describe the new content — describe how it should match the existing scene. 'A red car in the parking lot, matching the overcast lighting and shallow depth of field of the rest of the shot' produces seamless edits more often than a context-free prompt.

Iterate on a fresh mask, not a re-edited image

If the first edit needs refinement, go back to the original and re-mask, rather than editing the edited image. Edit-of-an-edit compounds artifacts.

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).

EndpointTypeStarting price
wavespeed-ai/video-watermark-removerai-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 output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/video-watermark-remover",
    {}
)
print(output["outputs"][0])  # → URL of the generated output

Video Watermark Remover vs alternatives

When to pick Video Watermark Remover over similar models on WaveSpeedAI.

Video Watermark Remover vs Adobe Premiere Pro 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, no editor seat required.

Video Watermark Remover vs HitPaw Video Watermark Remover

HitPaw is a desktop app. Video Watermark Remover is API-first — better for SaaS integration, scheduled batch jobs, and pipeline automation.

Video Watermark Remover vs General Wan 2.2 Video-Edit

Wan 2.2 Video-Edit is a general editing tool that needs an explicit mask + prompt. Video Watermark Remover is specialized + zero-shot — detect and remove watermarks without manual region selection.

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 — strip watermarks, logos, captions, or any unwanted overlay from videos up to 10 minutes long, with background reconstruction that holds across motion. 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.