AI-Generated Image Detection in Scientific Research [Beta Version]
Scientific image integrity matters. Our AI Image Checker helps detect AI-generated content in research papers—currently in beta, with ongoing improvements.
Using AI Image Recognition, our detection model identifies AI content in microscopy, histology, western blots, cell cultures and spot images with growing accuracy.
Developed for publishers, institutions, and researchers, our AI Image Detector supports the verification of scientific figures across a wide range of disciplines.
This beta version is just the beginning. With user feedback and real-world applications, we are enhancing detection accuracy and expanding model coverage.
Imagetwin's AI-Generated Image Detection feature - In Beta
With the rapid advancements in AI-generated image creation, distinguishing between authentic and synthetic visuals has become a growing concern for publishers, academic institutions, and researchers. Imagetwin is introducing a beta version of its AI Image Checker, designed to detect AI-generated scientific images.
While this technology is still evolving, it provides an important first step in helping academic journals, universities, and research institutions maintain the authenticity of visual data. Our detection model is continuously improving to adapt to new AI-generated content and generative models. For more information on Imagetwin’s AI-Generated Image Detection feature, read more in our blogpost.
How Imagetwin Detects AI-Generated Scientific Images
1. Paper or Image Submission
User uploads entire manuscripts, files or individual images to our secure platform for analysis
2. AI-Powered Analysis
Our model applies pattern recognition and deep learning techniques to detect AI-generated content, along with image plagiarism, duplication and manipulation
3. Confidence Score & Reporting
Receive a comprehensive report highlighting detected issues. Each flagged figure is assigned a confidence score, helping users to assess risks
With every passing day, it becomes harder to distinguish real from fake. Would you be able to spot the AI-generated fakes?
Examples of AI-Generated Scientific Images
Why Choose Imagetwin?
We recognize that AI-generated image detection is an ongoing challenge, and we’re building a solution tailored for publishers, institutions, and the academic community.
Optimized for Scientific Images
Unlike generic AI detectors, Imagetwin is trained on scientific image datasets, covering microscopy, histology, and western blots.
Built for Speed & Accuracy
Our detection process is designed to be efficient, helping journals, publishers, and institutions identify concerns early in the publication process.
Confidential & Secure
We prioritize data encryption and privacy, ensuring your uploaded images remain confidential.
We acknowledge current limitations but are committed to expanding detection capabilities with ongoing research and improvements.
Trusted by the Academic and Publishing Community
Our AI model is developed with input from publishers, universities, and researchers, ensuring real-world applicability in academic and scientific publishing.
Powerful Features for Comprehensive Image Analysis
AI-Powered Image Recognition
Our AI Detector for Images is optimised for scientific visuals, offering precise pattern analysis in research figures.
Confidence Scores
Flagged images are assigned a detection probability score, helping users to assess risks more accurately.
Bulk Scanning
Analyze large datasets efficiently with our batch-scanning feature. Ideal for publishers, journals, and institutions.
Comprehensive Reports
Easily generate detailed PDF reports summarizing integrity concerns.
Data Encryption
Your data is protected with industry-standard encryption and security best practices.
All-In-One Integrity Analysis
Our platform also detects image manipulation, duplication, and plagiarism.