Truebees
TrueBees is an AI-based tool that detects deepfakes, which are AI-generated portraits that can be shared on social media and spread across ...
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What is Truebees?
Truebees is a deepfake detection system that uses AI‑based digital‑image forensics and blockchain technology to verify whether portraits on social media have been generated by AI. It analyzes uploaded images and outputs a trustworthiness score or verdict, helping users decide whether an image is real or synthetic before they reshare or publish it. The platform is built over 15+ years of research in digital‑forensics and has been extensively tested on datasets from Facebook, WhatsApp, Telegram, and Twitter, reporting accuracy figures around 98% on those platforms.
Key features include one‑click image verification, support for common image formats, and optional integration via API so publishers and media organizations can embed checks into their editing workflows. Each verified image can be stored on a secure, blockchain‑backed ledger, allowing users to cryptographically prove that a visual was checked and when. The system is designed to answer questions such as “Should I trust this image?”, “Should I reshare or publish it?”, and “Is the identity depicted a real person?”.
Truebees is aimed primarily at professionals in media, law, and content‑moderation roles: press agencies, newsrooms, freelance journalists, lawyers, legal advisors, and compliance teams who need to vet images before using them in articles, court cases, or internal investigations. It also helps organizations prevent the accidental spread of deepfakes in scams, revenge porn, cyberbullying, and identity‑fraud scenarios by providing a fast, automated check layer on top of human review.
Truebees pricing
Pricing model: Freemium
The website indicates that Truebees operates as a SaaS offering with a free trial or basic tier at around 1.10 USD per research‑grade check, primarily aimed at testing and small‑scale use. Paid plans are structured for professional and enterprise customers, with higher‑volume pricing and API access tailored to media houses, law firms, and large organizations; exact monthly or annual subscription amounts and tier definitions are not publicly itemized in a fixed table and seem to be negotiated individually through the company’s sales or support channels.
Truebees pros
- Highly accurate deepfake detection reported around 98% on social‑media images
- Specialized on AI‑generated portraits commonly seen on social networks
- Detects deepfakes after they have been shared on platforms, not just at upload
- Uses blockchain to store and timestamp verification results for tamper‑proof proof
- Answers concrete questions like ‘Should I trust this image?’ in plain terms
- One‑click image verification for end users without technical expertise
- Available as both a web interface and an API integration
- Supports multiple common image formats for flexible input
- Designed specifically for media and legal professionals’ workflows
- Helps prevent accidental sharing of deepfakes in news and legal contexts
- Aids in combating disinformation campaigns that rely on fake portraits
- Can be embedded into internal workflows via API for automated checks
- Fine‑tuned deep‑learning models developed by digital‑forensics researchers
- Focuses on user‑generated visual content, which is where most deepfake harm occurs
- Provides a trust layer for images used in lawsuits, investigations, and publishing
Truebees cons
- Focused mainly on image deepfakes, not yet comprehensive for video or audio deepfakes
- Accuracy, while high, is not 100% and may misclassify some real or synthetic images
- Requires uploading images to a third‑party service, raising privacy and data‑handling concerns
- Limited transparency about which social‑media platforms and filters are fully supported
- May not integrate smoothly with all legacy media or legal‑case‑management systems
- Blockchain‑based storage adds complexity for teams unfamiliar with distributed ledgers
- Brand‑new or niche technology, so support and documentation may be thin
- Potential cost barrier for small newsrooms or individual journalists
Frequently asked questions about Truebees
What does Truebees actually detect?
Truebees detects AI‑generated portraits that appear to be real people but were created synthetically, such as deepfake headshots circulated on social media. It analyzes uploaded images to determine whether visual cues are consistent with photographic capture or with generation by AI portrait models, and then returns a trustworthiness verdict or score for that image.
Can I use Truebees to check videos or audio?
The current core offering is focused on still images and portraits; most public descriptions emphasize image‑based deepfake detection rather than video or audio deepfakes. While some newer AI‑detection tools market broader capabilities, the Truebees website and project materials center on preventing the spread of AI‑generated portraits on social networks, not full‑length video or voice synthesis.
How accurate is Truebees?
Public project and review materials report an accuracy rate of about 97.99–98.05% on reference datasets composed of images shared over Facebook, WhatsApp, Telegram, and Twitter. This means the system correctly classifies deepfakes versus real portraits in the vast majority of test cases, though no tool is perfect and edge cases or evolving generator models can reduce performance over time.
Who is Truebees designed for?
Truebees targets professionals who need to verify images before publishing or using them as evidence, including press agencies, broadcasters, freelance journalists, lawyers, legal advisors, and compliance teams. It is also useful for organizations that want to prevent the accidental spread of deepfakes in scams, cyberbullying, revenge‑porn cases, and identity‑fraud investigations.
How does blockchain technology help in Truebees?
Truebees uses blockchain to store and timestamp each verification result, creating an immutable record that a specific image was checked at a given time and whether it was deemed trustworthy. This allows organizations to prove later that due diligence was performed on an image, which is valuable in legal, editorial, and regulatory contexts where audit trails matter.
Do I need to integrate via API or can I use a web interface?
Truebees offers both a web platform where users can upload images directly for one‑click checks and an API for programmatic integration. Organizations can embed the API into their content‑management or editorial systems so that images are automatically verified before they are published, while individual users can still rely on the browser‑based interface for ad‑hoc checks.
What happens to my images after I upload them?
The platform states that images are analyzed for deepfake signals and then stored in a secure, blockchain‑backed environment so that verification proofs can be retrieved later. Full details about data retention periods, encryption, and whether images are permanently stored or deleted after a certain time are not exhaustively spelled out in public descriptions, so users are encouraged to contact the provider directly for specific data‑handling policies.
Is there a free tier or trial?
Information aggregators and tool catalogs list a research‑grade or trial pricing point around 1.10 USD per check, effectively serving as a low‑cost or limited free tier for testing the system. Beyond this, the site indicates that higher‑volume, enterprise, and API‑based plans are available but require direct contact or negotiation rather than a publicly fixed free quota.
Can Truebees detect deepfakes that have already been edited or compressed?
Truebees is designed to work on images that have already been shared and thus may have undergone compression, cropping, or minor edits on social platforms. Public materials state that it overcomes limitations of detectors that only look at pristine, high‑quality files by using fine‑tuned deep networks trained on versions of images as they appear on Facebook, WhatsApp, Telegram, and Twitter, which often include platform‑level re‑encoding and artifacts.
How does Truebees compare to other deepfake detectors?
Truebees positions itself as the first deepfake detector specifically built to identify AI‑generated portraits after they have been shared on social‑media platforms, rather than only at upload time. By combining digital‑image forensics, blockchain‑anchored verification, and models fine‑tuned on realistic social‑media image distributions, it aims to provide a more workflow‑integrated and legally defensible trust layer than generic or research‑only detectors that lack blockchain proof and API deployment options.