CamScanner Watermark Image

Overview

CamScanner applies a full-page tiled text watermark to an image. The watermark text is repeated in a diagonal grid pattern across the entire image. The workflow is a 3-step pipeline: upload the image, apply watermark, then download the result.

When to Use

• User wants to add a text watermark to an image
• User needs to stamp "Confidential", "Draft", "Copyright", etc. on an image
• User wants repeating diagonal text overlay on a photo

Privacy & Data

> Important: Privacy & Data Flow Notice

>

> - Third-party service: This skill sends your files to CamScanner's official servers (ai-tools.camscanner.com) for processing.

> - Data retention: CamScanner servers process your files in real-time. Files are not permanently stored on the server.

> - Local files: Output files are saved to your local filesystem at the path you specify.

API Reference

Base URL: https://ai-tools.camscanner.com

Parameters

Do NOT pass mode, x, y, width, height, or rotation — these are fixed internally for tiled watermark layout.

Step 1: Upload Image

BASE="https://ai-tools.camscanner.com"

IN_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/upload_file/execute" \
  -H "Content-Type: application/octet-stream" \
  --data-binary "@/path/to/image.jpg" | jq -r '.tool_result.data.file_id')

Response:

{
  "code": 200,
  "tool": "upload_file",
  "tool_result": {
    "success": true,
    "data": {
      "file_id": "file_1741857600_ab12cd34ef56",
      "size": 24576
    }
  }
}

Step 2: Apply Watermark

Minimal call (recommended — uses sensible defaults):

OUT_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/watermark_image/execute" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$IN_FILE_ID\",\"text\":\"Copyright 2026\",\"output_mode\":\"file_id\"}" \
  | jq -r '.tool_result.data.file_id')

With custom styling (only add fields the user explicitly requests):

OUT_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/watermark_image/execute" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$IN_FILE_ID\",\"text\":\"Confidential\",\"color\":\"#FF0000\",\"opacity\":0.5,\"size\":60,\"output_mode\":\"file_id\"}" \
  | jq -r '.tool_result.data.file_id')

Response:

{
  "code": 200,
  "tool": "watermark_image",
  "tool_result": {
    "success": true,
    "data": {
      "file_id": "file_1741857701_9988aabbccdd.jpg",
      "target_type": ""
    },
    "metadata": {
      "engine": "imageprocess"
    }
  }
}

Step 3: Download Result

curl -sS -X POST "$BASE/v1/tools/download_file/execute?response_mode=raw" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$OUT_FILE_ID\"}" \
  -o /path/to/watermarked.jpg

Critical: The response_mode=raw query parameter is required to get the binary file. Without it, the response is JSON.

Quick Reference: Complete Pipeline

BASE="https://ai-tools.camscanner.com"
INPUT_IMAGE="/path/to/image.jpg"
TEXT="Copyright 2026"
OUTPUT_FILE="/path/to/watermarked.jpg"

# Upload
IN_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/upload_file/execute" \
  -H "Content-Type: application/octet-stream" \
  --data-binary "@$INPUT_IMAGE" | jq -r '.tool_result.data.file_id')

# Watermark
OUT_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/watermark_image/execute" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$IN_FILE_ID\",\"text\":\"$TEXT\",\"output_mode\":\"file_id\"}" \
  | jq -r '.tool_result.data.file_id')

# Download
curl -sS -X POST "$BASE/v1/tools/download_file/execute?response_mode=raw" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$OUT_FILE_ID\"}" \
  -o "$OUTPUT_FILE"

Common Mistakes

Error Handling

# After upload
if [ -z "$IN_FILE_ID" ] || [ "$IN_FILE_ID" = "null" ]; then
  echo "Upload failed"; exit 1
fi

# After watermark
if [ -z "$OUT_FILE_ID" ] || [ "$OUT_FILE_ID" = "null" ]; then
  echo "Watermark failed"; exit 1
fi

Known Limitations

• RGBA PNG (4-channel): The upstream image processing service may return a 500 error for images with alpha channel. Workaround: convert to JPEG before uploading (sips -s format jpeg input.png --out input.jpg on macOS).