Watermark Eraser API

Watermark Eraser API API ID: 6379

Watermark Eraser API removes watermarks from images and videos, providing clear, high-resolution results while preserving the original content's authenticity, sharpness, and quality.
Use this API from your AI agent via MCP
Works with OpenClaw, Claude Code/Desktop, Cursor, Windsurf, Cline and any MCP-compatible AI client.
Docs & setup
Create a skill by wrapping this MCP: https://mcp.zylalabs.com/mcp?apikey=YOUR_ZYLA_API_KEY

Watermark Eraser API provides a fast and efficient solution for removing watermarks from images and videos while preserving their original clarity and quality. Designed for developers, content creators, and businesses, this API enhances media assets by seamlessly erasing unwanted watermarks. It supports multiple file formats, ensuring smooth integration across various platforms.

Leveraging advanced AI-driven techniques and image processing, Watermark Eraser API accurately detects and eliminates text-based, logo-based, and semi-transparent watermarks without compromising the original background, colors, or details. Its high-precision technology delivers clean, natural-looking results.

Key advantages include rapid processing, exceptional accuracy, and the ability to handle both static and dynamic watermarks. With simple API requests, integration into websites, applications, and digital asset management systems is seamless. Additionally, the API prioritizes security and privacy, guaranteeing safe and confidential processing.

Watermark Eraser API is an essential tool for restoring media to its original form, making it an invaluable resource for content repurposing, media analysis, and creative editing.

API Documentation

Endpoints

To use this endpoint you must indicate the URL of an image in the parameter.



                                                                            
GET https://pr148-testing.zylalabs.com/api/6379/watermark+eraser+api/9149/remove

Remove - Endpoint Features

Object Description
url [Required] Indicates a URL
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                                                                                                                                        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...

Remove - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/6379/watermark+eraser+api/9149/remove?url=https://static.thinkmobiles.com/assets/images/r8shba14sle47gt9bvu7w3e791z62s__635x358.webp' --header 'Authorization: Bearer YOUR_API_KEY'

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Watermark Eraser API simply include your bearer token in the Authorization header.
Headers
Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Watermark Eraser API FAQs

The Watermark Remover endpoint returns a processed image or video file with the watermark removed. The output maintains the original quality and sharpness, ensuring a natural appearance.

The primary parameter for the Watermark Remover endpoint is the URL of the image or video containing the watermark. Users must provide a valid URL to initiate the processing.

The response data is structured to include the processed media file, typically in a downloadable format. It may also include metadata about the processing status and any errors encountered.

Typical use cases include content repurposing for marketing, enhancing media for presentations, and restoring images for personal use. It is valuable for developers and content creators needing watermark-free assets.

Data accuracy is maintained through advanced image processing algorithms and AI techniques that ensure precise detection and removal of watermarks without distorting the original content.

The accepted parameter value for the Watermark Remover endpoint is a valid URL pointing to an image or video file. Ensure the URL is accessible and points to a supported file format.

Users can download the processed media file directly from the response and integrate it into their applications or workflows, ensuring they have high-quality, watermark-free content for their needs.

The Image Cleaner API employs rigorous quality checks during processing, including validation of input files and verification of output quality to ensure that the results meet high standards of authenticity and clarity.

General FAQs

Please have a look at our Refund Policy: https://zylalabs.com/terms#refund

To obtain your API key, you first need to sign in to your account and subscribe to the API you want to use. Once subscribed, go to your Profile, open the Subscription section, and select the specific API. Your API key will be available there and can be used to authenticate your requests.

You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.

If you don’t cancel before the 7th day, your free trial will end automatically and your subscription will switch to a paid plan under the same plan you originally subscribed to, meaning you will be charged and gain access to the API calls included in that plan.

The free trial ends when you reach 50 API requests or after 7 days, whichever comes first. 

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API calls are deducted from your plan based on successful requests. Each plan comes with a specific number of calls that you can make per month. Only successful calls, indicated by a Status 200 response, will be counted against your total. This ensures that failed or incomplete requests do not impact your monthly quota.
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When you subscribe to an API free trial, you can make up to 50 API calls. If you wish to make additional API calls beyond this limit, the API will prompt you to perform an "Start Your Paid Plan." You can find the "Start Your Paid Plan" button in your profile under Subscription -> Choose the API you are subscribed to -> Pricing tab.
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 Service Level
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 Response Time
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Category:

Visual Recognition & Imaging

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