CamScanner Detect Tampering

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name: camscanner-image-detect-tampering description: Use CamScanner to detect whether an image has been PS-edited, manipulated, or tampered with. Powered by a manipulation-detection engine that identifies photo-editing traces, splicing, retouching, and other signs of tampering. Returns a JSON result with is_tampered (boolean) and result_text (human-readable). Use when the user asks whether a photo is genuine, wants to verify an image's authenticity, or asks "is this PS-ed / photoshopped / edited". Triggers on "检测图片是否PS", "是否被篡改", "图片验真", "PS检测", "detect image tampering", "is this photoshopped", "check if image was edited", or when the user shares an image and asks whether it has been modified. metadata: author: CamScanner version: "1.0" openclaw: emoji: "🔍" requires: bins: ["curl", "jq"] homepage: "https://www.camscanner.com"

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CamScanner Image Detect Tampering

Overview

CamScanner provides a manipulation-detection engine that determines whether an image has been PS-edited, spliced, retouched, or otherwise tampered with. The workflow is a 2-step pipeline: upload the image, then validate it with validate_mode: 1. Unlike conversion skills, this skill does not produce a file — the validate step returns a JSON result whose key fields (is_tampered, result_text) should be reported back to the user directly.

When to Use

User asks whether an image has been photoshopped, retouched, or manipulated

User wants to verify the authenticity of a photo or scanned document

User asks "is this PS-ed / tampered / edited?" or similar authenticity questions

User shares an image and explicitly asks whether it has been modified

Presenting the Result

Always read is_tampered and result_text from the response and report them in plain language.

Match the user's language. result_text is returned in Chinese by the API. If the user asked in English (or any other language), translate/rephrase it into that language. If the user asked in Chinese, you can use result_text as-is.

Do not claim tampering when is_tampered is false; do not claim an image is clean when is_tampered is true.

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. > - Result: Only a JSON detection result is returned — no file is downloaded.

API Reference

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

Supported Validations

| source_type | validate_mode | Detection | Engine | | ----------- | ------------- | -------------------------- | ----------------------- | | image | 1 | PS / tampering detection | manipulationdetection |

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.jpg",
      "size": 24576
    }
  }
}

Step 2: Validate Image (Detect Tampering)

curl -sS -X POST "$BASE/v1/tools/validate_image/execute" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$IN_FILE_ID\",\"validate_mode\":1}"

Response (tampered example):

{
  "code": 200,
  "tool": "validate_image",
  "tool_result": {
    "success": true,
    "data": {
      "engine": "manipulationdetection",
      "file_id": "file_xxx.jpg",
      "is_tampered": true,
      "result_text": "检测到图片存在 PS/篡改痕迹",
      "review_state": "auto_checked",
      "validate_mode": 1
    },
    "metadata": {
      "engine": "manipulationdetection",
      "is_tampered": true,
      "result_text": "检测到图片存在 PS/篡改痕迹",
      "review_state": "auto_checked",
      "validate_mode": 1
    }
  }
}

Interpreting the Result

| Field | Type | Meaning | | -------------- | ------- | ----------------------------------------------------------------------------- | | is_tampered | boolean | true = tampering detected, false = no tampering detected | | result_text | string | Human-readable conclusion (Chinese by default — translate for other languages) | | review_state | string | Review status (e.g. auto_checked) — informational, not user-facing | | validate_mode| integer | Echo of the requested mode (always 1 for PS/tampering detection) |

Quick Reference: Complete Pipeline

Detect whether an image has been PS-edited (two-step, reads JSON result):

BASE="https://ai-tools.camscanner.com"
INPUT_IMAGE="/path/to/image.jpg"
Upload
IN_FILE_ID=$(curl -sS -X POST "$BASE/v1/tools/upload_file/execute" \
  -H "Content-Type: application/octet-stream" \
  --data-binary "@$INPUT_IMAGE" | jq -r '.tool_result.data.file_id')
Validate and extract key fields
RESULT=$(curl -sS -X POST "$BASE/v1/tools/validate_image/execute" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$IN_FILE_ID\",\"validate_mode\":1}")
IS_TAMPERED=$(echo "$RESULT" | jq -r '.tool_result.data.is_tampered')
RESULT_TEXT=$(echo "$RESULT" | jq -r '.tool_result.data.result_text')
echo "is_tampered: $IS_TAMPERED"
echo "result_text: $RESULT_TEXT"

Common Mistakes

| Mistake | Fix | | ---------------------------------------- | ----------------------------------------------------------------------------- | | Wrong Content-Type on upload | Upload uses application/octet-stream, not multipart/form-data | | Using GET instead of POST | Both endpoints use POST | | Passing validate_mode as a string | validate_mode is an integer — use 1, not "1" | | Including output_mode in the request | validate_image does not use output_mode; it always returns JSON | | Treating a missing is_tampered as safe | Always check code == 200 and tool_result.success == true before reading | | Reporting result_text verbatim in EN | result_text is Chinese; translate to match the user's language |

Error Handling

Check each step before proceeding:

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