NSFW Detection: API vs NudeNet for Content Moderation
Short summary
A comparison of NudeNet, an open-source nudity detector, against a cloud NSFW moderation API covering 10 categories. The author tests both on the same three images to show where each one succeeds and fails.
- NudeNet only detects nudity, while the API also flags violence, drugs, alcohol, gambling, hate symbols, and other categories that matter for brand safety.
- In the author's tests, NudeNet misclassified the male subjects as female on two of three images and missed the smoking and alcohol content entirely.
- NudeNet is AGPL-3.0 licensed, which the author says creates legal questions for SaaS distribution, and its model hasn't been updated since 2023.
Full summary
NudeNet is a free, open-source Python library that detects nudity and nothing else. It has about 2,300 GitHub stars, runs on ONNX Runtime (v3, now at 3.4.2 on PyPI), and needs no GPU. The article's main point is that NudeNet's scope is narrow: its classes are all body-part labels like exposed breasts, buttocks, or genitalia, with nothing for violence, drugs, alcohol, gambling, or hate symbols. The cloud alternative, the NSFW Detect API, covers 10 top-level categories with a three-level label hierarchy, so you can set different thresholds per category, such as blocking explicit nudity aggressively while only flagging suggestive content. The author is selling that API, and the article makes that clear through a promotional link and a "try it on your uploads" pitch, so weigh the benchmark claims (93 to 98 percent for the API, around 90 percent for NudeNet) with that in mind.
The head-to-head tests are the most useful part, though they are small. The author ran three Pexels photos through both tools. On a shirtless man, the API correctly returned "Non-Explicit Nudity" and "Exposed Male Nipple" at 99.9 percent, while NudeNet labeled the man as FEMALE_BREAST_EXPOSED at 78.7 percent and FACE_FEMALE at 73.6 percent, getting the gender wrong on both. On a smoking photo, the API returned Drugs & Tobacco and Smoking at 99.4 percent, while NudeNet found nothing relevant and also labeled the male face as female. On a photo of beer glasses, the API flagged Alcohol at 98.6 percent and NudeNet returned no detections, which is expected since alcohol is outside its scope. Three images is not a benchmark, but the gender misclassifications are worth noting if your filtering logic depends on those labels.
The practical decision comes down to what you need to block. If explicit nudity is your only concern and you need everything to stay on your own servers, NudeNet does the job for free, provided you can live with its AGPL-3.0 license, which the author flags as a potential problem for SaaS distribution, and with a model last updated in 2023. If you run an advertising platform or need brand safety across drugs, violence, gambling, or hate symbols, NudeNet cannot cover that gap no matter how you configure it, and the API's per-category thresholds and maintained models are the real selling points. The article is short on actual pricing, so you will need to check the API's rate card before comparing total cost.