CamScanner Detect AI Generated

Use CamScanner to detect whether an image was generated by an AI model (e.g. Stable Diffusion, Midjourney, DALL·E). Powered by an AIGC-detection engine that classifies an image as genuine, suspected AI-generated, or AI-generated, with a confidence score. Returns a JSON result containing `ai_check_result` (1/2/3), `confidence`, and `result_text`. Use when the user asks whether a photo is AI-generated, wants to verify an image's authenticity against AI generation, or asks "is this AI art / Stable Diffusion / Midjourney?". Triggers on "检测AI生成", "是不是AI画的", "AIGC检测", "AI图片识别", "detect AI-generated image", "is this AI art", "is this diffusion / midjourney", or when the user shares an image and asks whether it was produced by AI.

CamScanner Image Detect AIGC

Overview

CamScanner provides an AIGC-detection engine that determines whether an image was produced by an AI generator. The workflow is a 2-step pipeline: upload the image, then validate it with validate_mode: 2. Unlike conversion skills, this skill does not produce a file — the validate step returns a JSON result whose key fields (ai_check_result, confidence, result_text) should be reported back to the user directly.

When to Use

• User asks whether an image was generated by AI (Stable Diffusion, Midjourney, DALL·E, etc.)
• User wants to distinguish a real photo from AI-generated artwork
• User asks "is this AI art / AI-generated?" or similar authenticity questions
• User shares an image and explicitly asks whether it came from a generative model

Presenting the Result

• Always read ai_check_result, confidence, and result_text from the response and report them in plain language.
• Map ai_check_result to a verdict: 1 = not AI-generated, 2 = suspected AI-generated, 3 = AI-generated.
• Include the confidence value (a float in [0, 1]) so the user understands how certain the verdict is.
• 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 overstate the verdict: "suspected AI-generated" is not the same as "AI-generated".

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	2	AIGC (AI-generated)	aigcdetection

Step 1: Upload Image

bash

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:

json

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

Step 2: Validate Image (Detect AIGC)

bash

curl -sS -X POST "$BASE/v1/tools/validate_image/execute" \
  -H "Content-Type: application/json" \
  -d "{\"file_id\":\"$IN_FILE_ID\",\"validate_mode\":2}"

Response (suspected AI-generated example):

json

{
  "code": 200,
  "tool": "validate_image",
  "tool_result": {
    "success": true,
    "data": {
      "ai_check_result": 2,
      "confidence": 0.346435546875,
      "engine": "aigcdetection",
      "file_id": "file_xxx.jpg",
      "result_text": "检测结果为疑似 AI 生成图片",
      "review_state": "auto_checked",
      "validate_mode": 2
    },
    "metadata": {
      "ai_check_result": 2,
      "confidence": 0.346435546875,
      "engine": "aigcdetection",
      "result_text": "检测结果为疑似 AI 生成图片",
      "review_state": "auto_checked",
      "validate_mode": 2
    }
  }
}

Interpreting the Result

Field	Type	Meaning
ai_check_result	integer	1 = not AI-generated, 2 = suspected AI-generated, 3 = AI-generated
confidence	float	Model confidence score in [0, 1]
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 2 for AIGC detection)

Verdict Mapping

ai_check_result	Verdict	Suggested phrasing (EN)
1	Not AI-generated	"Looks like a real image"
2	Suspected AI-generated	"Suspected to be AI-generated"
3	AI-generated	"Detected as AI-generated"

Quick Reference: Complete Pipeline

Detect whether an image is AI-generated (two-step, reads JSON result):

bash

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\":2}")

AI_CHECK=$(echo "$RESULT" | jq -r '.tool_result.data.ai_check_result')
CONFIDENCE=$(echo "$RESULT" | jq -r '.tool_result.data.confidence')
RESULT_TEXT=$(echo "$RESULT" | jq -r '.tool_result.data.result_text')

echo "ai_check_result: $AI_CHECK"
echo "confidence:      $CONFIDENCE"
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 2, not "2"
Including output_mode in the request	validate_image does not use output_mode; it always returns JSON
Treating ai_check_result as boolean	It is a 3-state integer (1/2/3); map explicitly to a verdict
Reporting "suspected" as "AI-generated"	ai_check_result == 2 means suspected, not confirmed — phrase accordingly
Reporting result_text verbatim in EN	result_text is Chinese; translate to match the user's language

Error Handling

Check each step before proceeding:

bash

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

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