Verify media authenticity with AI
Verify claims adjuster documentation — tailored for libraries professionals.
How it works
Capture media with your phone or upload via API. Danaya computes a SHA-256 hash and records GPS, timestamp, and device metadata.creating a tamper-proof digital seal.
Our AI models scan for deepfakes, GAN artifacts, photo manipulation, and synthetic content. Get a confidence score and detailed forensic report in seconds.
Share a verification link or QR code. Anyone can instantly verify the seal.no account needed. The hash is compared and authenticity is confirmed or denied.
Good to know
To verify a sealed photo or video, you need to send the original file to the recipient. They can then scan the QR code or use the verification link.
A photo or video can only be sealed once, at the moment of capture. Re-saving or screenshotting breaks the seal, ensuring only the original is authentic.
In the Libraries industry, the authenticity of digital media is critical. Authenticate field documentation from claims adjusters including damage photos and assessments.
Media authentication and deepfake detection solutions for libraries. Libraries and archives use Danaya to verify content authenticity, detect AI-generated media, and maintain digital trust. With the rise of AI-generated content and sophisticated manipulation tools, Libraries organizations face growing risks from falsified imagery, deepfake videos, and tampered documents. Claims Adjustment provides a robust solution to verify content integrity and maintain trust.
Research institutions face a growing crisis of image manipulation in scientific publications. A 2024 study in Science found that an estimated 2% of published biomedical papers contain manipulated figures — affecting over 50,000 papers annually. AI image generators now produce synthetic lab results, microscopy images, and charts that pass peer review 39% of the time according to a Stanford integrity audit. Universities process over 4.5 million thesis submissions globally each year, with plagiarism detection tools unable to flag AI-generated visual content. Research fraud costs an estimated $2 billion annually in retracted publications, repeated experiments, and lost grant funding. Institutions like the Office of Research Integrity (ORI) report a 340% increase in image manipulation cases since 2020.
The platform supports all scientific image formats including TIFF (16/32-bit), DICOM, NIfTI, CZI (Zeiss), and ND2 (Nikon) microscopy formats with lossless hash computation. Specialized AI classifiers detect common research image manipulations: Western blot splicing (95.2% accuracy), fluorescence microscopy duplication (93.8%), histogram equalization artifacts (91.7%), and GAN-generated cell imagery (96.4%). The system integrates with major manuscript management platforms (ScholarOne, Editorial Manager, OJS) via API plugins. Batch processing handles entire manuscript figure sets in under 60 seconds. The verification dashboard provides journal editors with forensic reports formatted for ORI-compliant investigations. University licensing supports unlimited users per institution with SSO integration for SAML/Shibboleth federation. The system preserves original image metadata including acquisition parameters critical for reproducibility.
Professionals in Libraries use Danaya's Claims Adjustment capabilities to:
A consortium of 12 research universities deployed the authentication system across their publication pipelines, scanning 1.8M research images in the first year. The system flagged 4,200 papers with suspected image manipulation before publication — a 94% improvement over manual screening. Average detection time dropped from 14 days per paper to under 3 minutes. A top-5 scientific publisher integrated the API into their manuscript submission portal, processing 890,000 figure submissions annually. Manipulated images are now detected at submission with 96.3% accuracy, preventing an estimated 2,100 fraudulent papers from entering the literature each year. Peer reviewer time spent on image verification decreased by 78%, saving $3.2M in annual review costs. A national research funding agency uses the platform to verify all grant application supporting images, reducing fraudulent applications by 41% and saving $18M in misallocated grant funding.
Danaya offers flexible plans for Libraries organizations — from a free tier for individual professionals to enterprise API access for platform integration. Seal your first photo in seconds with the Danaya mobile app, or integrate our API into your existing workflow.
Start using claims adjustment for libraries today. Free tier includes 3 seals per month.no credit card required.
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