Image Sensitive Content Detection
Free image audit, sensitive content detection API interface, automatically detect prohibited content in uploaded images and return handling recommendations. Support file or URL upload, instant return of audit results, risk levels, and handling suggestions. Suitable for integration into user upload workflows to achieve automated content moderation. · Social app user avatar audit, e-commerce product image detection, forum UGC image filtering, online education content security, live platform screenshot audit, Miniapp image detection, enterprise content compliance · Image Sensitive Content Detection
Free image audit API, Image audit interface, Image content detection, Image sensitive detection, Sensitive image recognition, UGC image audit, Image audit API, Content security API, Image filtering interface, Online image audit
POST /image/nsfw - Image Sensitive Content Detection
This is an image content moderation API that automatically detects prohibited content in uploaded images and returns handling recommendations.
Feature Overview
Upload an image file or provide an image URL, and the API will automatically analyze the image content, returning whether it violates rules, risk level, and handling suggestions. Suitable for integration into user upload workflows to achieve automated content moderation.
Response Field Descriptions
- isnsfw: Whether the content is flagged as prohibited, true means prohibited, false means normal
- nsfwscore: Confidence score for prohibited content, between 0-1, higher values indicate higher likelihood of violation
- normalscore: Confidence score for normal content, between 0-1, complementary to nsfwscore
- suggestion: Handling recommendation
- pass: Content is normal, can be allowed directly
- review: Risk detected, recommend manual review
- block: High-risk content, recommend direct blocking
- risklevel: Risk level
- low: Low risk
- medium: Medium risk
- high: High risk
- label: Content label, nsfw or normal
- confidence: Overall confidence of the model's judgment
- inferencetimems: Model inference time in milliseconds