Try it Out

You can test out the API without code by going to the FastAPI link with your web browser: https://ai-image-detect.undetectable.ai/docs

Authentication

Undetectable.AI uses API keys to allow access to the API. You can get your API key at the top of the page in our developer portal.

UD expects for the API key to be included in all API requests to the server in a request body that looks like the following:

key: YOUR API KEY GOES HERE

AI Image Detector

Detect (3-Step Process)

The AI Image Detection workflow consists of the following steps:

• Obtain a Pre-signed Upload URL
• Upload the Image
• Submit the Image for Detection

1. Obtain a Pre-signed Upload URL

Begin by requesting a pre-signed URL from the API. This URL allows you to securely upload your image file (JPG, JPEG, or PNG) to the storage server.

Note: It is necessary to remove spaces from the image filename when requesting a pre-signed URL.

Example Request

curl -X GET 'https://ai-image-detect.undetectable.ai/get-presigned-url?file_name=example.jpg' \
--header 'apikey: YOUR API KEY GOES HERE'

Example Response

{
  "status": "success",
  "presigned_url": "https://nyc3.digitaloceanspaces.com/ai-image-detector-dev/uploads/581d47c7-3ef4-42af-88d9-6dab6bf69389_20250611-121955_example.jpg...",
  "file_path": "uploads/example.jpg"
}

2. Upload the Image

Use the provided presigned_url to upload your image via a PUT request. Ensure the correct content type is set according to your image format.

Example Request

curl -X PUT 'https://nyc3.digitaloceanspaces.com/ai-image-detector-dev/uploads/581d47c7-3ef4-42af-88d9-6dab6bf69389_20250611-121955_example.jpg...' \
  --header 'Content-Type: image/<FILE_FORMAT - jpeg, jpg, png>' \
  --header 'x-amz-acl: private' \
  --data-binary '@example.jpg' # Attachment

Note: It is necessary to remove spaces from the image filename when uploading the image.

Ensure that the file format remains consistent during the upload process. A successful upload will return a status code of 200.

3. Submit Image for AI Detection

After uploading, submit the image for AI detection by referencing the file_path from the previous step.

Example Request

curl -X 'POST' \
  'https://ai-image-detect.undetectable.ai/detect' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \
  -d '{
  "key": "YOUR-API-KEY-GOES-HERE",
  "url": "https://ai-image-detector-prod.nyc3.digitaloceanspaces.com/<FILE_PATH>",
}'

The FILE_PATH refers to the path obtained from the response in the initial step, "Obtain a Pre-signed Upload URL".

Example Response

{
    "id": "77565038-9e3d-4e6a-8c80-e20785be5ee9",
    "status": "pending"
}

The response includes a unique image ID for tracking the detection status.

Query Detection Status and Results

To check the status and retrieve the results, use the /query endpoint with the image ID.

Example Request

curl -X 'POST' \
  'https://ai-image-detect.undetectable.ai/query' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \
  -d '{
  "id": "IMAGE-ID-GOES-HERE"
}'

Example Response

{
    "id": "00fee5ff-a55b-42fb-b7c7-d14f05ae0769",
    "status": "done",
    "result": 90.2371538185235,
    "result_details": {
        "detection_step": 3,
        "final_result": "AI Generated",
        "metadata": [
            "No Information Detected for Real/AI",
            "Could not find anything from ExifTool and Pillow metadata"
        ],
        "ocr": [
            "OCR did not detect AI",
            0.0
        ],
        "ml_model": [
            "AI Generated",
            90.2371538185235
        ],
        "confidence": 90.2371538185235
    }
}

Result Details

• detection_step: Indicates the stage at which detection was completed.
• 1: Only metadata is returned.
• 2: Returns metadata and ocr results.
• 3: Returns metadata, ocr, and ml_model results.
• final_result: The overall determination (e.g., "AI Generated").
• confidence: The confidence score of the detection.
• metadata: Information extracted from image metadata.
• ocr: Results from Optical Character Recognition analysis.
• ml_model: Results from the machine learning model.

The status field will be either pending (if processing is ongoing) or done (when results are available).

Check User Credits

This endpoint accepts the users apikey via the header. And returns users credit details.

Example Request

curl -X 'GET' \
  'https://ai-image-detect.undetectable.ai/check-user-credits' \
  -H 'apikey: YOUR API KEY GOES HERE' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \

Example Response

{
    "baseCredits": 10000,
    "boostCredits": 1000,
    "credits": 11000
}

Errors

The generic error codes we use conform to the REST standard:

Common Issues and Solutions

Authentication Issues

"User verification failed" (403)

• Cause: Invalid or expired API key
• Solution:

1. Verify your API key is correct
2. Check if your API key is active in your account
3. Try regenerating your API key

"Not enough credits" (403)

• Cause: Insufficient credits for image processing
• Solution:

1. Check your remaining credits using /check-user-credits
2. Purchase additional credits if needed

Input Validation Issues

"Input URL cannot be empty" (400)

• Cause: Empty or invalid URL submitted
• Solution:

1. Ensure your url input is not empty
2. Remove any leading/trailing whitespace in image names
3. Check if url encoding is correct

"Input email is empty" (400)

• Cause: Missing email for URL processing
• Solution:

1. Provide a valid email address when submitting URLs
2. Check email format is correct

Processing Issues

Image Status "failed"

• Cause: Processing failed for various reasons
• Solution:

1. Verify URL is in a supported format
2. Contact support if issue persists

"User not found"

• Cause: Invalid user ID
• Solution:

1. Verify user ID is correct
2. Ensure user account is active
3. Re-authenticate if needed

Updated on: 09/07/2025