Remove Watermarks From Any Image
Upload your photo, brush over the watermark, and download a clean result in seconds. Free to start, no signup, no software to install.
Drop your image here — free, no signup
or click to choose a file
Have a video? Remove video watermarks instead →
Drag to compare — a real result from this tool
Real Results, Not Mockups
Every example below was processed through the same tool you're about to use. Drag the slider to compare before and after.
Why People Pick WatermarkRemoverAI
A few reasons users switch to us from other removers.
Free to Start, No Card
Remove your first watermarks without paying or entering a card. Upgrade only if you need batch, HD, or API.
No Signup Wall
Jump straight to the editor. No email verification, no onboarding forms, no waiting on a link.
Your Files Stay Yours
Uploads are processed and then automatically deleted. We don't resell, train on, or publish your images.
What People Remove
The same brush-and-remove flow handles most kinds of overlaid marks.
More Than One Image at a Time
Video Watermark Remover
Mark the watermark once and the AI cleans it across every frame — no blurred patch, no crop.
Bulk Removal
Queue a whole folder of images in one go — ideal for catalogs, listings, and shoots.
Developer API
Wire the same engine into your own pipeline or app with two HTTP requests.
Automate it with the API
Send a file, get a job id back, poll for the clean result. Same AI engine as the web tool, in two requests.
curl -X POST https://api.watermarkremoverai.com/v1/watermark/remove-image/ \
-H "Authorization: YOUR_API_TOKEN" \
-F "files=@photo.jpg" \
-F "auto_detect=true"
# => {"uuid": "..."}
# Poll for the result
curl -X POST https://api.watermarkremoverai.com/v1/watermark/results/ \
-d "uuid=..."
import requests
API = "https://api.watermarkremoverai.com/v1/watermark"
headers = {"Authorization": "YOUR_API_TOKEN"}
with open("photo.jpg", "rb") as f:
job = requests.post(API + "/remove-image/",
headers=headers,
files={"files": f},
data={"auto_detect": "true"}).json()
result = requests.post(API + "/results/",
data={"uuid": job["uuid"]}).json()
print(result)
Prefer a manual mask? Send mask=@mask.png instead of auto_detect, or pass mask_x / mask_y / mask_width / mask_height (add mask_is_percentage=true for percentages). Optional dilation=5 grows the masked area.
Ready to Remove a Watermark?
Upload an image and see the result in seconds. No signup, no cost to start.
Get Started Free