Ensuring the highest standards of quality, Scientific Ethics, and image integrity in your publications with Proofig AI image detector
Image Integrity Challenges in Upholding Scientific Ethics
Explore the common risks associated with image manipulation and scientific misconduct in scientific research.
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Our Partners
Join Our trusted leading scientific publishers to maintain the authenticity of published research
Our Solutions for Upholding Research Integrity and Addressing Scientific Misconduct
Proofig AI utilizes a vast database exclusively for detecting plagiarism, while also identifying duplications and manipulations within individual manuscripts.
Alteration & Manipulation
Detection of Alteration or Manipulation Within a Single Sub-Image, Including Cloning, Editing, Deletion, and Splicing.
Duplication & Reuse
Detection of Duplication or Reuse Within a Single Manuscript, Including Scaling, Rotation, Flipping, Full and Partial Overlap, and Additional Irregularities.
PubMed Source Plagiarism
Detection of Reuse of Sub-Images From Published Manuscripts with our AI image plagiarism checker. Utilizing PubMed's Source database, which contains tens of millions of images.
AI Generated
Detection of AI-Generated Images. Identifies images created by the most widely used model, with continuous updates for new models.
Customize Your Journey
Find the perfect Proofig solution for your role. Click below to explore services that best suit your professional requirements.
Why Choose Proofig AI?
Save Time
Save valuable time by analyzing entire papers in minutes
Reduce human errors
Perform accurate analysis of manuscripts and reduce human errors
Ensure the highest standards of quality
Ensure the highest standards of quality, image and research integrity with Proofig AI
Enjoy guaranteed confidentiality
Check papers with guaranteed confidentiality
Proofig AI image detector is the only Solution that:
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FACS Analysis: Offers detailed analysis of Fluorescence-Activated Cell Sorting (FACS) images.
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Western Blot Analysis: Detects alterations or manipulations such as band splicing, blot addition, and blot removal.
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AI-Generated Image Detection: Identifies AI-generated images, ensuring cutting-edge integrity. Take Our Quiz To Test Yourself
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Forensic Analysis Tools: Includes advanced tools for thorough forensic analysis.
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Manual Page and Image Analysis: Provides tools for detailed manual page and image analysis.
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Admin System Usage Module: Offers a robust admin system usage module for enterprise-level control.
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Customer Success Management: Assigns a dedicated Customer Success Manager to support and train users.
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Wide Adoption: Trusted and deployed by major publishers and universities, ensuring reliable performance.
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Industry Recognition: Recognized by leading research integrity officers and institutions.
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Proofig AI offers tailored image integrity solutions for researchers, tools designed for research institutions, support for research ethics committees, and scientific publishing services for publishers
Data Privacy and Security
At Proofig, we prioritize the privacy and security of our users' data. Here's how we protect your information:
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Training Data: Our system is trained exclusively using material we have developed and open-source content designated for commercial use, ensuring compliance with legal and ethical standards.
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User Data: We do not use user-uploaded manuscripts to train our models. Uploaded data is solely analyzed for image integrity issues and to generate reports.
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Confidentiality: All analyses are conducted on private, secure servers. Your manuscripts and reports remain fully confidential and are not used for other purposes.
By adhering to these protocols, Proofig ensures your data is protected while maintaining high standards of image integrity analysis
Multiple image sources
Proofig AI can auto-detect multiple image sources: including microscopies (confocal, light, fluorescence, and electron), histology slides, pathology slides, Western blot bands, gel electrophoresis, flow cytometry (FC), fluorescence-activated cell sorting (FACS), cell culture, in-vitro, in-vivo, and more. Proofig stands unique as the only tool that detects issues with FACS images and AI-generated images. The scientific community can use the technology to proactively check images at any stage of the writing or publishing process.
Protect Your Scientific Reputation and Ensure Research Integrity
With over 2.5 million scientific manuscripts published each year (1), over 35,000 articles (from 2009 to 2016) are at risk of retraction after publication due to image duplication, image manipulation, or image plagiarism (2).
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In fact, the percentage of manuscripts flagged up for image-related problems ranges from 20 to 35 percent (3). This means there are hundreds of thousands of papers published with image issues in a year! Each mistake can have harmful results for all parties involved, even if it will be subject to post-publication correction.
The damage caused by a post-publication retraction — including investigations and legal costs — is estimated at over $1 million per article (4)!
Each mistake can have harmful results for all parties involved, affecting research integrity and scientific ethics, even if it is subject to post-publication correction.
(1) The STM Report, Fourth Edition March 2015.
(2) Bik EM, et all., Analysis and correction of inappropriate image duplication: the Molecular and Cellular Biology Experience. Mol Cell Bio. 2018; 38 (20).
(3) Jana Christopher (Image Data Integrity Analyst bei FEBS Press) : Expert-interviews, UKRIO.
(4) Arthur M. Michalek et al., The Costs and Underappreciated Consequences of Research Misconduct: A Case Study, PLoS Med. 2010; 7(8)
Checking images manually is time-consuming and not always accurate. Proofig’s SaaS platform allows customers to easily upload documents for analysis and image plagiarism detection with our AI image plagiarism checker, checking a paper and providing a full report in minutes.
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Anyone in research, including authors, editors, researchers, research institutions, research ethics committees, and publishers, can rely on Proofig AI for automated review processes, ensuring checks are completed rapidly and efficiently.
Proofig AI Image Plagiarism Checker Analyzes Papers in Minutes
The benefits of image and research integrity AI software
Automating the image review process enables users to check images prior to peer review and publication. This ensures that all research is credible and protects the reputations of all parties involved.
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Proactively checking image integrity also reduces the risk of costly investigations and retractions after publication. Investing in Proofig enables the scientific community to save millions that it can then invest in further research.
The Four Stages of Proofig
“Image integrity issues in the scientific literature are more prevalent than many readers would expect, and notably so in the life sciences. In recent years, an increasing number of scientific journals have adopted pre-publication image screening. Expertise in this area has developed, whilst the need for reliable and user-friendly automated tools to screen large volumes of image data at scale has grown accordingly.
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I have found Proofig to be impressively strong in detecting duplications and part-duplications in Western blots and microscopy images. It works fairly quickly and reliably across several figures, whilst being robust to rotation, flipping, resizing, and colour changes. The makers recently also added Flow Cytometry plots to their catalogue of screen-able image types.
The system automatically generates a report summarizing individual, selectable findings in a clear manner, and users can also re-visit previously screened items in their own database. Whilst it remains essential for an experienced user to verify and interpret individual findings, I believe Proofig is a very valuable tool for duplication detection, and suited to effectively assist journals’ image integrity screening routines”.
Jana Christopher
Image Data Integrity Analyst
Hear what renowned editors and scientists are saying about Proofig:
Proofig achievements
25%
Average manuscripts with findings
150,880
Scanned Manuscripts
5,879,503
Scanned pages
9,327,614
Processed Subimages
99.4%
Image detection precision
96.8%
Text detection precision
97.2%
Western band alteration