Watermark Remover API – Smart AI for Clean, Professional Images & Videos

Overview

The Watermark Remover API provides advanced AI-based watermark detection and removal for both images and videos. It intelligently identifies watermark areas and restores the background naturally — no manual editing required.

Perfect for developers building photo editors, content moderation tools, media platforms, or video restoration pipelines, this API ensures fast, accurate, and scalable performance.

Key Features

• Automatic Watermark Detection – AI automatically locates and removes watermarks
• Mask Support – Upload custom masks for precise control
• Batch Processing – Submit multiple jobs in one API call
• High-Quality Restoration – Seamless fill-in with realistic texture reconstruction
• Supports Images & Videos – Works across formats for flexible media processing

Authentication

All API requests must include an API key:

Authorization: Bearer YOUR_API_KEY

API Host: https://us-center.deep-api.com

Image Watermark Remover API

Pricing

Endpoint

POST /api/aigc/task/submit

Request Headers

Content-Type: application/json
Authorization: Bearer YOUR_API_KEY

Request Parameters

Response Format

{
  "code": 100000,
  "message": "Request Success",
  "data": {
    "credits_consumed": 1,
    "creation_id": "3fe766593eed425e83bf7a36b7321c31",
    "task_id_list": [16222903]
  }
}

Response Fields

• code: Status code (100000 = success)
• credits_consumed: Total credits used
• creation_id: Unique batch identifier
• task_id_list: IDs for individual tasks

Example Request

curl --location --request POST \
  'https://us-center.deep-api.com/api/aigc/task/submit' \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data-raw '{
    "aigc_type": "image_watermark_remover",
    "callback_url": "https://yourapp.com/result/callback",
    "task_list": [
      {
        "additional_params": {
          "image_url": "https://your-storage.com/image.jpg",
          "mask_url": "https://your-storage.com/mask.png"
        },
        "callback_params": {
          "user_id": "1234"
        }
      }
    ]
  }'

Video Watermark Remover API

Pricing

Endpoint

POST /api/aigc/task/submit

Request Parameters

Response Format

{
  "code": 100000,
  "message": "Request Success",
  "data": {
    "credits_consumed": 1,
    "creation_id": "a41f7c58bd4e41ef8a6bc1d1f51364a7",
    "task_id_list": [16223004]
  }
}

Example Request

curl --location --request POST \
  'https://us-center.deep-api.com/api/aigc/task/submit' \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data-raw '{
    "aigc_type": "video_watermark_remover",
    "callback_url": "https://yourapp.com/api/callback",
    "task_list": [
      {
        "additional_params": {
          "media_url": "https://your-storage.com/video.mp4",
          "mask_list": [
            {
              "start_frame": 0,
              "end_frame": 999999,
              "mask": "https://your-storage.com/mask1.png"
            }
          ]
        },
        "callback_params": {
          "project_id": "abc123"
        }
      }
    ]
  }'

💡 Tip: The mask image must be grayscale — white (255) defines watermark areas, black (0) defines preserved regions. The mask dimensions must exactly match the original video.

Webhook Callbacks

Once processing finishes, results are sent to your callback_url as a JSON POST request.

⚠️ Important:
Each task triggers two separate callbacks:

1. Process Start Callback (process_status = 1) – Sent immediately when the AI starts processing your task.
2. Process Complete Callback (process_status = 2) – Sent when the task finishes (successfully or failed).

You should handle both callbacks properly:

• Use the start callback to update UI or mark task as “in progress”
• Use the complete callback to retrieve results and finalize the task
• Avoid treating “start” callback as a completion event

Webhook Request Structure

Retry Logic

• Non-200 HTTP responses trigger up to 4 retries
• Retry intervals: 5s → 30s → 120s → 300s
• Use idempotent task handling to avoid duplicates

Status Codes

Best Practices

Preparing Masks

• Use white to mark watermark areas (value 255)
• Keep the same dimensions as original media
• Avoid soft edges; use clear boundaries for accuracy

Optimization Tips

1. Batch Processing – Combine multiple items in one API call
2. Accurate Masking – Improves removal quality and speed
3. Shorter Clips – For videos, process only necessary segments
4. Webhook Reliability – Handle retries safely with idempotency keys

FAQ

Use Cases

Media & Content Platforms

Automate watermark cleanup for user-generated content or archives.

E-Commerce & Marketing

Remove branding or unwanted marks from product photos for clean visuals.

Video Production

Restore legacy footage and promotional videos by removing embedded watermarks.

AI Training Datasets

Clean watermarked datasets to improve training data quality for computer vision.

Support

For technical support or API access, contact:

• Integration Assistance
• Credit Management
• Webhook Setup Help
• Performance Optimization

API Version: v1
Last Updated: October 2025