About NSFW JS
NSFW JS is an innovative image editing and enhancement tool designed to help users identify potentially inappropriate images directly on their browsers. This cutting-edge JavaScript library harnesses the power of TensorFlowJS, an open-source machine learning framework, to deliver fast and reliable image classification without the need to send images to a server. With an impressive accuracy rate of 93%, NSFW JS empowers developers and users alike to maintain safe and respectful environments online. One of the standout features of NSFW JS is its client-side image detection capability, which ensures that sensitive data remains private without compromising performance. The library includes a unique CameraBlur Protection feature that automatically blurs images deemed inappropriate, allowing users to navigate the web with confidence. This makes NSFW JS an ideal solution for web developers looking to integrate content filtering into applications, social media platforms, and user-generated content sites. Constantly evolving, NSFW JS is regularly updated with new models and improvements, reflecting the latest advancements in machine learning. Being free to use and distributed under the MIT license, it encourages community contributions, allowing developers to report false positives and collaborate on enhancing the library's functionality. The mobile demo feature also provides a hands-on experience for users to test image recognition capabilities on their devices, making it accessible and practical for various applications. The use cases for NSFW JS are vast. Content creators and developers can utilize this tool to ensure their platforms remain user-friendly and appropriate, making it a valuable asset for adult content filtering, workplace environments, and educational websites. By implementing NSFW JS, businesses can protect their users from exposure to potentially harmful content while promoting a safe browsing experience. In summary, NSFW JS stands out in the realm of image editing and enhancement tools by offering robust, client-side image detection capabilities powered by advanced machine learning technology. Whether you're a developer seeking to enhance your web projects or a business looking to safeguard your users, NSFW JS is the perfect solution. Explore the library today, available for download on GitHub, and join a community dedicated to improving online safety and image content control. Visit [NSFW JS](https://nsfwjs.com/) to learn more and get started!
Key Features
- ✅ Identify inappropriate images with high accuracy using advanced machine learning technology powered by TensorFlowJS.
- ✅ Ensure user privacy with client-side image detection that does not require image uploads to a server.
- ✅ Automatically blur inappropriate images with the innovative CameraBlur Protection feature for a safer browsing experience.
- ✅ Receive constant updates and improvements, reflecting the latest developments in image recognition and machine learning.
- ✅ Utilize the tool for diverse applications, including adult content filtering, workplace safety, and educational environments.
- ✅ Encourage community collaboration by allowing users to report false positives and contribute to the library's ongoing enhancement.
- ✅ Access a mobile demo for hands-on testing of image recognition capabilities, ensuring practical implementation for developers and users alike.
Pricing
Free to use
Rating & Reviews
3/5 stars based on 1 reviews