Example output

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inference · 0.6s

NSFW Image Detection

Name: NSFW Image Detection
Brand: Eachlabs
Availability: InStock

Image Gen·eachlabs·by Unified AI API for hundreds models. Access video, image, and audio generation from leading providers through one integration with eachlabs.

NSFW Image Detection is an AI-powered tool designed to identify and flag inappropriate or sensitive images.

Try it now →

API reference

Runtime (p50): 1s
Estimated price: $0.0002475 per processing second

Call the API

prediction.sh

curl -X POST \
  -H "Authorization: Bearer $EACHLABS_API_KEY" \
  -H "Content-Type: application/json" \
  --data '{
    "model": "nsfw-image-detection",
    "input": {
        "image": "https://cdn-us.eachlabs.ai/defaults/c95bb6a05375486b47f309829d5e332b3225b15525bcf0df1763a465c17c08b2.webp"
    },
    "webhook_url": ""
}' \
  https://api.eachlabs.ai/v1/prediction/

Documentation8 sections

Overview
NSFW Image Detection Overview

NSFW Image Detection is an AI-powered image classification solution designed to detect potentially inappropriate or unsafe content in images.
NSFW Image Detection analyzes image inputs and provides a classification result that helps applications automate content moderation workflows.
It can be integrated into platforms that require automatic image screening, safety checks, and content filtering before publishing or processing user-generated content.
Capabilities
Capabilities
- Automatically inspects images and identifies potential NSFW content using an image-to-text classification approach.
- Returns machine-readable NSFW labels
- Supports common web image formats, enabling straightforward integration into upload and generation workflows.
- Operates via the NSFW Image Detection API, allowing programmatic use within back-end services, microservices, or serverless functions.
- Scales to high volumes of images, making it useful for platforms with large amounts of user-generated content.
- Works as a specialized safety layer alongside other each::labs models, especially within eachlabs image-to-text pipelines.
- Helps enforce age-appropriate content policies by flagging adult or sensitive visual material for review or blocking.
- Provides consistent, repeatable classification decisions that reduce reliance on subjective manual moderation alone.
Use cases
Use Cases for NSFW Image Detection
Social Media Platforms
Detect potentially inappropriate images uploaded by users before content is published.
Online Communities
Support safer user environments by automatically filtering images that may violate platform guidelines.
E-commerce Platforms
Analyze uploaded product images and help maintain content quality standards.
User-Generated Content Applications

Add an automated moderation layer for platforms that allow users to upload and share images.
Tips & tricks
Tips and Tricks
Image Accessibility
The provided image URL must be publicly accessible so NSFW Image Detection can process the content successfully.
Image Quality
Clear and properly formatted images generally provide better classification results.
Low-resolution, heavily edited, or unclear images may affect detection accuracy.
Responsible Usage
NSFW Image Detection should be used as part of a broader content moderation workflow.

Applications should define their own policies and actions based on the classification results.
Technical spec
Technical Specifications

The NSFW Image Detection model from each::labs is designed as an image-to-text classification service, with support for common web and application image formats and flexible deployment via NSFW Image Detection API endpoints.
- Input type: Static image input (URL or binary upload), optimized for typical web resolutions.
- Supported formats: Common raster formats such as JPEG and PNG, with optional conversion for other types.
- Output type: Textual labels indicating NSFW categories plus confidence scores suitable for automated decision logic.
- Aspect ratios: Works across standard portrait, landscape, and square layouts without requiring fixed ratios.
- Processing time: Designed for near real-time inference suitable for interactive applications and content pipelines.
- Integration: Accessed via each::labs NSFW Image Detection API within the broader eachlabs image-to-text family.
Things to be aware of
Things to Be Aware Of

Classification Accuracy
NSFW Image Detection may occasionally produce incorrect classifications.
Some images may be difficult to classify due to:
- Artistic content
- Ambiguous visual elements
- Partial visibility
- Low image quality
No Context Understanding
NSFW Image Detection analyzes visual information from images only.
It does not consider:
- User intent
- External context
- Platform-specific moderation policies
Key considerations
Key Considerations

NSFW Image Detection is best used as an automated first-line filter
Limitations
Limitations

Some safe images may be classified as NSFW, especially when they contain ambiguous visual elements.