Image manipulation detection
Scans manuscripts for alteration or manipulation within a single sub-image, including cloning, editing, deletion, and splicing.
Proofig AI
Proofig AI is an image integrity and plagiarism checker for scientific manuscripts. Detect manipulation, duplication, AI-generated images, and reused figures before submission.
Overview
Proofig AI is an image integrity and image plagiarism checker for scientific publishing. It uses AI and computer vision to screen manuscripts for altered, duplicated, reused, or AI-generated images before submission or publication.
The product is positioned for researchers, publishers, research institutions, and ethics committees. It supports manuscript review by analyzing full documents, flagging potential issues, and generating a report so users can validate findings and decide what to do next.
Core capabilities
Duplication and reuse analysis
Finds duplication and reuse within a manuscript, including images, graphs, charts, diagrams, and plots, and supports scaling, rotation, flipping, full overlap, partial overlap, and irregular cases.
AI-generated image identification
Checks for AI-generated images and says it is updated to recognize new models over time.
Image plagiarism checking
Compares manuscript visuals against more than 155 million PubMed Open Source Database images to detect reused images from published literature.
My Database self-plagiarism control
Compares images against a personalized repository of prior research to help prevent reuse of a researcher’s own previously published images.
Manuscript screening workflow
Supports a manuscript-quality workflow that uploads a PDF or image file, runs analysis, and returns a report for review.
Common use cases
Pre-submission manuscript checks
Researchers can screen a manuscript before journal submission to catch manipulation, duplication, or accidental reuse that could trigger rejection or retraction.
Editorial screening
Editors and publishers can use the tool as part of quality control before acceptance to identify integrity issues across figures and sub-images.
Institutional review
Institutions and ethics committees can review submitted work for image integrity concerns when evaluating research credibility or compliance.
Internal lab QA
Labs and principal investigators can compare figures against a private repository of prior work to reduce self-plagiarism risks and repeated reuse.
Figure-level integrity review
Users working with microscopy, western blot, charts, diagrams, or plots can check visual material for duplication and reuse across panels or within the same manuscript.
Pros and Cons
Pros
- Covers several integrity checks in one tool, including manipulation, duplication, plagiarism, AI-generated images, and self-plagiarism.
- Uses a large reference database for plagiarism screening, with more than 155 million PubMed Open Source Database images mentioned on the site.
- Supports whole-manuscript review rather than isolated image checks, which fits pre-submission workflows.
- Provides a report that users can review and validate before deciding on next steps.
- States that screening runs on secure, private servers and that data is not reused for model training.
Cons
- Pricing is not available on the site material provided here because the pricing page returns a not-found page.
- The source does not describe file-format support beyond PDF or image upload, so broader compatibility is unclear.
FAQ
Who is Proofig AI for?
Proofig AI is presented as a manuscript screening tool for researchers, publishers, institutions, and ethics committees. It focuses on image integrity checks before submission or publication.
How does the workflow work?
The source says users can upload a PDF or image file. The system scans images and sub-images, flags potential issues, and then the user reviews and validates the findings before downloading a PDF report.
What kinds of image issues does it detect?
Proofig AI checks for image manipulation, duplication and reuse, AI-generated images, image plagiarism, and self-plagiarism through its My Database feature.
How is manuscript confidentiality handled?
The site says the platform runs on secure, private servers and that manuscript data is never reused for model training.
Does the site show pricing details?
The source references a pricing page, but the page itself returns a not-found message, so no pricing or plan details are available from the provided material.
Quick Facts
- Category
- Research integrity / image analysis
- Primary users
- Researchers, publishers, research institutions, ethics committees
- Input format
- PDF or image file
- Workflow
- Upload, analyze, review flagged items, download report
- Source domain
- proofig.com
- Pricing
- Not shown in the provided site material
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