In a potent partnership, TNQTech and Imagetwin have joined forces to screen images for manipulation and duplication. Imagetwin’s new feature detects AI-generated or AI-altered images, an increasingly urgent challenge in scholarly publishing. Using a combination of Imagetwin’s technology and TNQTech’s image experts, our image screening process is comprehensive. Read our blog post to see how it works.
Our process screens individual images in their source formats, and can also integrate with your submission or production system via an API gateway to consume the manuscript directly. The images then go through an initial screening for eligibility; line art and other ineligible images are excluded. A series of robust automated checks follows, generating a comprehensive report that is evaluated by an experienced professional.
A full report describing suspected alterations with details and confidence scores where AI is potentially involved, and an output “package” via an API containing a PDF report and a JSON file for system-consumption. Editorial offices also have access to a comprehensive dashboard to review weekly and monthly data for insight into service levels, manipulation types and their frequency, and types of articles they occur in.
TNQ Tech Pvt. Ltd.