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Detects duplicated images within manuscripts or across a database of over 75 million published figures.
Uncovers inappropriate image edits, including splicing and copy-move forgeries.
Verifies image originality and ensures proper attribution via plagiarism detection.
Offers a beta feature for detecting AI-generated images in scientific figures.
Provides confidence scores (0-100%) for each detected integrity issue.
Offers a forensic toolbox with image analysis tools.
Allows creation of a private image database to check papers against.
Provides API access for integration with peer-review, publishing, and institutional workflows.
Employs data encryption using industry-standard security practices.
Supports bulk scanning for large-scale analysis of manuscripts or images.
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Maintain journal credibility by detecting image manipulation in submitted papers.
Conduct research audits and misconduct investigations to ensure academic integrity.
Check figures for integrity before submission to scientific journals.
Validate the originality and integrity of images during the review process.
Analyze large datasets of scientific images for integrity issues.
Ensure that published articles meet scientific standards by verifying image authenticity.
Monitor and maintain the integrity of ongoing research projects and publications.
Verify adherence to ethical guidelines and regulations in research publications.
Ensure that submitted images have not been manipulated and are original.
Assist users in resolving issues related to image integrity in scientific publications.
Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.