Imagga API
Overview
Imagga is an image recognition API that can automatically tag images with descriptive labels, perform visual search, and detect inappropriate (NSFW) content. You simply upload an image or provide a URL, and it returns a list of tags with confidence scores. It is widely used for automating image organization and content moderation workflows.
Beginner Tip
Use image URLs instead of uploading files when starting out—it is faster to test and avoids multipart form complexity. The free tier includes 1,000 API calls per month, which is plenty for learning and small projects.
Available Data
Example Response
{
"status": "success",
"data": {
"result": "Data from Imagga",
"description": "Image Recognition Solutions like Tagging, Visual Search, NSFW moderation",
"timestamp": "2025-01-15T10:00:00Z"
}
} Field Reference
result.tags List of tag objects describing the content of the image. result.tags[].tag.en The English label of the detected tag (e.g., 'cat', 'outdoor', 'sky'). result.tags[].confidence Confidence score from 0 to 100 indicating how certain the model is about this tag. status.type Indicates whether the request succeeded ('success') or encountered an error ('error'). status.text Human-readable status message, useful for debugging errors. Implementation Example
const url = "https://imagga.com/";
// Replace headers or query params with the values required by this API.
const response = await fetch(url, {
headers: {
"X-API-Key": "YOUR_API_KEY"
}
});
if (!response.ok) throw new Error(`Request failed: ${response.status}`);
const data = await response.json();
console.log(data); What Can You Build?
Note: These code examples are AI-generated and unverified. Always refer to the official API documentation for accurate usage.
Common Errors & Troubleshooting
Matrix Score Breakdown
Partially tested on Apr 5, 2026
Technical Specifications
Related Tags
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