Temporal Consistency Masking
Uses a 3D-Flow mechanism to ensure the removed area doesn't flicker, maintaining stability across the video timeline.
Video Watermark Remover
The video watermark remover v2.1 uses 3D-Flow and GAN backbones to erase logos while maintaining temporal consistency. Process 4K video at 1:1 speeds with sub-pixel inpainting that eliminates jitter across moving frames for professional results.
API Usage Examples
curl --request POST "https://gptproto.com/api/v3/gptproto/video-watermark-remover/video-to-video" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"video": ""
}'Video Watermark Remover pricing
Start from the cost of a single sample and pick a testing budget.
Your usage
$0.05 / image
Related Models
All Models
| Model | Resolution | Input → Output | ||
|---|---|---|---|---|
| — | $0.05 per second | — | Input: Video Output: Video |
| $0.22 per time | 2K · more | Input: TextInput: Image Output: Video | ||
| $0.09 per time | more | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | ||
| — | $0.11 per second | 480p · 720p | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | |
| $0.34 per second | 4k | Input: TextInput: Image Output: Video | ||
| — | $0.02 per second | 480p · 720p | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | |
| $0.34 per second | 4k | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | ||
| — | $0.04 per second | 480p · 720p | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | |
| $0.02 per second | 720p · 1080p · more | Input: ImageInput: VideoInput: Audio Output: Video | ||
| $0.09 per second | — | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | ||
| $0.03 per second | 540p · 720p · 1080p | Input: TextInput: Image Output: Video | ||
| $0.04 per second | 540p · 720p · 1080p | Input: TextInput: Image Output: Video | ||
| $0.09 per second | 720p · 1080p · 2k | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | ||
| — | $1.20 per time | — | Input: TextInput: ImageInput: Video Output: Video | |
| — | $3.20 per time | — | Input: TextInput: ImageInput: Video Output: Video | |
| $0.03 per second | 1080p · more | Input: Image Output: Video | ||
| $0.44 per time | — | Input: TextInput: Image Output: Video | ||
| $0.09 per time | 1K · more | Input: TextInput: Image Output: Video | ||
| — | $0.50 per time | — | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | |
| — | $0.30 per second | 720p · 1080p | Input: TextInput: Image Output: Video | |
| — | $0.10 per second | 720p | Input: TextInput: Image Output: Video | |
| $0.28 per time | — | Input: Image Output: Video | ||
| $0.09 per time | — | Input: Image Output: Video | ||
| $0.39 per time | — | Input: Image Output: Video |
Key Video Watermark Remover Capabilities
Advanced features that make this video watermark remover the industry leader for clean, artifact-free video inpainting.
Zero-Shot Auto-Detection
Automatically identifies watermark positions in the video frame without requiring manual bounding boxes or coordinates.
GAN-Powered Sub-pixel Inpainting
Reconstructs video textures using a GAN backbone for a 34.2 dB PSNR, ensuring the background looks natural.
Dynamic Object Tracking
Tracks moving logos or floating text across the video using optical flow to ensure clean erasure of dynamic elements.
Video Watermark Remover FAQ & Technical Guide
Answers about using the video watermark remover for logo deletion, temporal consistency, and API integration for automated workflows.
How does this video watermark remover ensure stability?
This video watermark remover utilizes a sophisticated 3D-Flow mechanism specifically engineered to solve the 'jitter' problem common in traditional inpainting. By analyzing the temporal axis, the model ensures that the inpainted pixels remain stable from one video frame to the next. This results in a professional-grade video output with a Peak Signal-to-Noise Ratio (PSNR) of 34.2 dB, ensuring the removed area blends perfectly.
Can the video watermark remover handle 4K resolution?
Yes, the video watermark remover is fully capable of processing high-resolution video up to 4K (3840 x 2160). While standard 1080p video processing is billed at a base rate, 4K video requires a 2x multiplier due to the increased computational load on the GPU cluster. The model maintains its structural similarity (SSIM) of 0.96 even at these higher resolutions, making it ideal for professional video restoration and broadcast media.
Does the video watermark remover support auto-detection?
The video watermark remover features a Zero-Shot Auto-Detection mode. This means the model can scan the video to identify common watermark placements like corner logos or center overlays without requiring manual coordinates. For developers, this simplifies the API call significantly. You simply set the mode to 'auto_detect' and the vision-transformer backbone handles the identification and subsequent erasure of the watermark.
Is my data safe with this video watermark remover?
We prioritize data privacy for all video watermark remover tasks. All video files are processed in volatile memory on our secure GPU nodes. Once the video processing is complete and you have retrieved the output, the source and result files are immediately deleted. We do not use your video content to train our models, ensuring that sensitive property videos or unreleased broadcast footage remain completely confidential at all times.
What is the cost for video watermark remover usage?
Usage of the video watermark remover is billed per second of video processed rather than by token. The standard rate is $0.005 per second for 720p or 1080p video. If you are processing 4K video, the rate is $0.01 per second. We also offer a 30% batch discount for high-volume users processing more than 1,000 minutes of video per month. Our spot-instance scheduling helps keep these costs roughly 15% lower than the original vendor.
Why use this video watermark remover over frame tools?
Generic image inpainters process video one frame at a time, which leads to flickering because the model doesn't 'remember' the previous frame. This video watermark remover is a native video-to-video model. It uses temporal consistency masking to look at surrounding frames, ensuring a smooth transition. This results in a VMAF score of 91.5, which is significantly higher than what you would achieve with frame-by-frame image tools.