Imagetwin.ai: Ensuring Scientific Image Integrity with Advanced AI Detection

Imagetwin.ai is a powerful, AI-driven image analysis platform designed to uphold the integrity of scientific research by detecting duplication, plagiarism, manipulation, and AI-generated content in research figures. Trusted by 8 out of 10 of the largest academic publishers and 148 academic organizations, it leverages a vast database of over 100 million published images and cutting-edge forensic tools to deliver rapid, accurate results. Ideal for researchers, institutions, and publishers, Imagetwin.ai supports seamless integration into peer review and publishing workflows through its robust API and private repository feature, ensuring confidentiality and compliance with EU data standards. Its ability to attribute AI-generated images to specific models like DALL·E, Firefly, and Stable Diffusion makes it a vital tool in the evolving landscape of academic integrity.

Key Features:

• AI-Generated Image Detection: Identifies and attributes AI-generated visuals to likely models (e.g., DALL·E, Firefly, Stable Diffusion).
• Duplication Detection: Finds both local and external image duplications across publications.
• Manipulation Detection: Detects splicing, copy-move forgeries, and transformations such as rotation, mirroring, scaling, and brightness/contrast adjustments.
• Plagiarism Detection: Compares figures against a database of 100+ million academic images to identify unauthorized reuse.
• Forensic Toolbox: Offers advanced tools like matched keypoints, zoom, contrast adjustment, and manual panel editing for in-depth analysis.
• Private Repository: Allows organizations to build custom databases for auto-checking new manuscript submissions.
• Confidence Scores: Provides 0–100% confidence levels for detected issues, categorized as Low (0–32%), Fair (33–65%), and High (66–100%).
• Bulk Scanning via API: Enables scalable, automated processing of large volumes of manuscripts or images.
• Comprehensive PDF Reports: Generates detailed, customizable reports for compliance, review, and audit purposes.
• File Format Support: Accepts PDF, DOCX, JPG, PNG, GIF, BMP, TIF, JFIF, SVG, and WEBP files.
• Secure Data Handling: All files are encrypted in transit and deleted after processing unless user opts to retain them for up to 90 days.
• API Integration: Offers a REST API with endpoints for scanning, retrieving results, and viewing scan overviews; supports bearer token authentication and callback notifications.
• Customizable Workflows: Supports integration into peer review, pre-submission checks, and post-publication investigations.
• Continuous Model Updates: AI models are regularly refined to detect emerging image integrity threats.
• SSO & Dedicated Support: Available on Pro and Enterprise plans for secure access and personalized onboarding.

Pricing: Imagetwin.ai offers flexible pricing with one-off scans at €29 (valid for 12 months) and bundled options for cost savings. Yearly plans include Essentials (€999, 200 scans, up to 5 users, 500 MB storage), Advanced (€1,999, 500 scans, up to 10 users, 2 GB storage), Pro (€3,499, 1,000 scans, up to 20 users, 10 GB storage, SSO), and Enterprise (custom pricing with unlimited users, tailored storage, API integration, and dedicated account management). Free trials and sample scans are available upon request, and volume pricing is offered for large-scale needs.

Conclusion: Imagetwin.ai stands out as a trusted, secure, and highly accurate solution for safeguarding scientific integrity, combining deep learning precision with enterprise-grade security and workflow flexibility—making it an indispensable ally for modern research institutions and publishers.