Proofig AI is trusted by leading publishers, research institutes, and researchers
What kind of image integrity software does Proofig AI offer?
We’ve developed a cutting-edge AI solution for automatic identification of scientific image issues before and after publication. Proofig can detect full image duplications, including scaling or rotation, partial duplication, and overlapping, along with flipped images, rotations, cloning, and any of these issues combined. It can also detect fraudulent manuscript images derived from “paper mills.”
Why is image integrity important?
As one Journal of Clinical Investigation editorial clearly states: “Data accuracy forms the foundation of the scientific enterprise, and without it, the enterprise risks crumbling.” (1)
While most publishers review manuscripts to ensure they include reliable information, image duplications and manipulations are very difficult to detect. In fact, the percentage of manuscripts flagged for image-related problems ranges from 20 to 35 percent (2).
If manuscripts are published with integrity issues, it can lead to costly investigations, damaging the reputations of the publishers. The impact factors of the journals are also affected, reducing the public’s trust in scientific research.
What kind of image integrity software does Proofig offer?
We’ve developed a cutting-edge AI solution for automatic identification of scientific image issues pre and post publication. Proofig can detect full duplications including scaling or rotating, partial duplication or overlapping, alongside flipped images, rotations, cloning — and any of these issues combined, as well as “paper mill” derived fraudulent manuscript images.
How does Proofig benefit publishers?
Proofig provides you with a game-changing pre-publication solution for ensuring each image in each of thousands of manuscripts is reliable.
With Proofig, Publishers can:
Analyze a large number of images within minutes
More easily identify fraudulent manuscripts derived from paper mills
Automate screening of articles to find image duplications or manipulations
Reduce human image identification errors
Protect a journal's reputation and impact factor
Significantly reduce time and costs associated with image proofing
All manuscripts and reports are kept confidential
How does Proofig work?
Proofig extracts images from papers and leverages AI to compare each image to itself, then to the rest of the images, in order to detect image duplications or other anomalies
It also compares each flipped image with the other images in the uploaded files.
Check each manuscript, confidentially and automatically, in 3 simple steps:
Upload a PDF manuscript and submit it for sub-image detection. The system will leverage AI to analyze the manuscript and mark all sub-images within the figures.
Review the detected sub-images and validate results, then submit the manuscript for integrity detection.
Review the suspected issues Proofig has flagged for you and add only relevant findings to the final report. The system will process your selections within minutes, and you’ll have the full report, which can be printed ((PDF) or seen as is within the system. The report will include both a page view of the suspected issue and a detailed view of each issue you confirmed.
Who uses Proofig AI already?
Proofig’s clients include integrity position holders from top universities and prominent international publishers such as Springer Nature, AACR, SAGE Publishing, RSC, JCI, Taylor & Francis. They also include PIs and senior researchers in the life sciences.
Proofig AI has been quoted in Nature and by COPE as a leader in the field of image integrity.
Hear what renowned editors and scientists are saying about Proofig:
"Significant damage is caused by image duplication even when they are innocent mistakes. Therefore, I'm happy to provide my department with the peace of mind that comes with knowing our manuscripts' images have been properly verified pre-publication using Proofig, and only manuscripts with no mistakes will follow for publication".
Professor Ofer Mandelboim
Head of the Department of Immunology and Cancer Research
Hebrew University Faculty of Medicine, Israel