Truebees

Truebehind the technology

TrueBees combines digital media forensics with blockchain technology to authenticate images shared on social media. The forensic analysis component, developed and trained by researchers, examines visual content for signs of AI generation or manipulation. Simultaneously, blockchain creates an immutable ledger where analysis results are stored, ensuring traceability and preventing tampering with verification records.

how detection works

The system identifies both fully AI-generated images and AI-manipulated content, regardless of subject matter. While optimized for portraits—a high-risk category in online fraud—the underlying methods maintain high accuracy across landscapes, documents, and other image types. This robustness addresses a key limitation of generic detectors that often fail when images undergo platform-specific processing like compression or cropping.

accuracy and validation

TrueBees reports a 97.99% accuracy rate on a reference test dataset called TrueFace, which focuses on synthetic face images from social networks. This benchmark was validated in academic research presented at the International Joint Conference on Biometrics (IJCB) in October 2022. The existing text additionally cites a 98.05% accuracy figure specifically for photographs shared on Facebook, WhatsApp, Telegram, and Twitter, suggesting platform-tuned performance metrics.

user workflow

Verification begins with account creation and payment method setup. Users can then either upload images directly through the web interface for instant analysis or integrate TrueBees’ API into their existing workflows. The platform emphasizes pre-sharing checks, advising users to verify images before dissemination to prevent accidental amplification of deepfakes.

target audience

The service is explicitly designed for professionals who handle visual content at scale: press and news agencies requiring rapid fact-checking, media outlets needing publishable confidence, freelance journalists offering trustworthiness guarantees, and legal professionals seeking admissible evidence of image authenticity. These groups benefit from streamlined validation that reduces reliance on manual inspection.

limitations and considerations

TrueBees focuses exclusively on still images; it does not analyze video content despite the tool name’s association with “fake video detection” in some descriptions. The technology requires user initiation—there is no automatic scanning of social media feeds—and effectiveness depends on users remembering to verify content before sharing. Additionally, while blockchain ensures storage integrity, it does not prevent the initial creation or upload of deepfakes.

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