Description

🖼️ Tool Name:
NSFW Checker (by Miguel Piedrafita)

🔖 Tool Category:
Client-side NSFW image detector; it falls under the category of browser-based content moderation tools using AI for privacy-friendly image classification.

✏️ What does this tool offer?
NSFW Checker is a lightweight web tool that lets users check whether an image (JPG/PNG) contains not-safe-for-work (NSFW) content. It uses the open-source Stable Diffusion Safety Checker model and runs entirely in the browser—ensuring zero data leaves the device. The tool is simple, fast, and ideal for developers, content moderators, or anyone needing quick image checks.

What does the tool actually deliver based on user experience?
• Immediate feedback upon image upload with a clear “Safe” or “NSFW” label
• 100% private — no server involved, no data uploaded
• Handles large files (up to 50MB) and high-resolution images
• Clean drag-and-drop interface with no sign-up or setup required
• Highly responsive and praised for speed and simplicity
• Works across major browsers, including mobile

🤖 Does it include automation?
Yes — the entire detection process is fully automated:
• Applies a pre-trained NSFW model (Stable Diffusion safety checker) instantly
• Runs in-browser without requiring user configuration
• Supports batch classification by dropping multiple images (sequentially)

💰 Pricing Model:
Completely free and open-source (no commercial tier)

🆓 Free Plan Details:
• Full access with no usage limits
• No account, login, or API key required
• Works offline once loaded (browser memory)

🧭 Access Method:
• Web-based access only — visit the URL in any browser
• Simply drag and drop or upload an image
• No installation, extension, or API necessary

🔗 Experience Link:
• Official website: https://nsfw.m1guelpf.me

Pricing Details

The platform is completely free and open-source, with no commercial or paid tier. Users enjoy full access with no usage limits, and there is no need to create an account, log in, or provide an API key. Once loaded, the tool even works offline using browser memory, making it highly accessible, lightweight, and privacy-friendly for all users.