Image Analysis – Caption, Tags & Object Detection

x402

Image Analysis – Caption, Tags & Object Detection is a paid API for AI agents from manyfish-seller.redcliff-d7368db1.westus2.azurecontainerapps.io, paid per call via x402, $0.004/call, status unknown (last checked 2026-09-14).

Analyzes a base64-encoded JPEG or PNG image and returns a descriptive caption, visual tags, and detected objects with confidence scores.

Price / call$0.004

Seller volume →—

Success—

StatusUnknown

How this service works

Return a caption, visual tags, and located objects for a supplied image.

Output

Returns a natural-language caption describing the image, a list of visual tags (keywords describing scene elements, colors, styles, etc.), and a list of detected objects each with a label and confidence score. Results are filtered by the supplied minimum confidence threshold (default 0.5).

Example use cases

E-commerce product image tagging

“I have a PNG photo of a running shoe I want to list online — can you analyze it and give me a caption, visual tags, and any detected objects so I can auto-populate the product description?”

Content moderation pre-screening

“Before I store this user-uploaded JPEG, analyze it and tell me what objects and tags are detected — only show me things with at least 80% confidence so I know what's in the image.”

Accessibility alt-text generation

“Here's a base64-encoded JPEG of our blog hero image — analyze it and return a caption and visual tags so I can write an accurate alt-text for screen readers.”

Technical details

Endpoint

POSThttps://manyfish-seller.redcliff-d7368db1.westus2.azurecontainerapps.io/api/v1/image/analyze

When to prefer

Choose this endpoint when you need a combined response of caption, tags, AND object locations in a single call, rather than separate endpoints for each task. It is particularly useful for enriching image metadata, powering search indexing, or feeding downstream NLP pipelines. Prefer the dedicated object-detection endpoint if you only need bounding boxes, or the caption-only endpoint if you need a single sentence description.

Side effects

Invalid base64 string — malformed or non-base64 payload returns a 400 error
Unsupported content type — only image/jpeg and image/png are accepted
Image too large — base64 payload exceeding ~10MB may be rejected
Low-quality or ambiguous images may return sparse tags or a generic caption
Confidence threshold set too high may return empty object lists

Input

Schema · Request body

Field	Type	Description
contentType	—
imageBase64	string
minimumConfidence	number

Output

Schema · Response

{
  "type": "json",
  "example": {
    "tags": [
      {
        "name": "text",
        "confidence": 0.97
      }
    ],
    "image": {
      "width": 200,
      "height": 120,
      "contentType": "image/png"
    },
    "caption": {
      "text": "A red circle and the word hello on a white background.",
      "confidence": 0.92
    },
    "objects": [],
    "language": "en"
  }
}

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How this service works

Return a caption, visual tags, and located objects for a supplied image.

Output

Example use cases

E-commerce product image tagging

“I have a PNG photo of a running shoe I want to list online — can you analyze it and give me a caption, visual tags, and any detected objects so I can auto-populate the product description?”

Content moderation pre-screening

“Before I store this user-uploaded JPEG, analyze it and tell me what objects and tags are detected — only show me things with at least 80% confidence so I know what's in the image.”

Accessibility alt-text generation

“Here's a base64-encoded JPEG of our blog hero image — analyze it and return a caption and visual tags so I can write an accurate alt-text for screen readers.”

Technical details

Endpoint

POSThttps://manyfish-seller.redcliff-d7368db1.westus2.azurecontainerapps.io/api/v1/image/analyze

When to prefer

Side effects

Invalid base64 string — malformed or non-base64 payload returns a 400 error
Unsupported content type — only image/jpeg and image/png are accepted
Image too large — base64 payload exceeding ~10MB may be rejected
Low-quality or ambiguous images may return sparse tags or a generic caption
Confidence threshold set too high may return empty object lists

Input

Schema · Request body

Field	Type	Description
contentType	—
imageBase64	string
minimumConfidence	number

Output

Schema · Response

{
  "type": "json",
  "example": {
    "tags": [
      {
        "name": "text",
        "confidence": 0.97
      }
    ],
    "image": {
      "width": 200,
      "height": 120,
      "contentType": "image/png"
    },
    "caption": {
      "text": "A red circle and the word hello on a white background.",
      "confidence": 0.92
    },
    "objects": [],
    "language": "en"
  }
}