SEE BEYOND THE SURFACE
ZeroTrue is your AI‑powered shield against synthetic content—instantly detecting AI-generated images, videos, text, code, voices, and music to protect authenticity and trust online.
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DISTINGUISH THE REAL FROM THE ARTIFICIAL
In an era flooded with AI-generated content, deepfakes, misinformation, and propaganda, ZeroTrue provides a unified solution to instantly authenticate all digital content.
Leveraging cutting-edge, multimodal machine learning, our SaaS platform quickly and accurately verifies texts, code, images, videos, audio, and music through an intuitive web interface and seamless API integration.
In an era flooded with AI-generated content, deepfakes, misinformation, and propaganda, ZeroTrue provides a unified solution to instantly authenticate all digital content.
Leveraging cutting-edge, multimodal machine learning, our SaaS platform quickly and accurately verifies texts, code, images, videos, audio, and music through an intuitive web interface and seamless API integration.
ZeroTrue
Impact Stats
AI-generated content across the web increased by over 400% annually, posing significant threats to authenticity and security.
Misinformation, financial fraud losses exceeding $40 billion annually, compromised elections, academic dishonesty, and erosion of public trust.
400%
$40
Escalation of cybercrime, identity theft, privacy violations, increased disinformation, and social manipulation.
Instantly detecting AI-generated images, videos, texts, code, voices, and music modalities.
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How It Works
Upload file or URL
AI-powered analysis
Receive detailed report
Features
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Multimodal Content VerificationComprehensive analysis of images, video, audio, music, texts, and code within one platform. -
FreemiumEach member of our team has at least 5 years of legal experience. -
SupportOur managers are always ready to answer your questions. You can call us during the weekends and at night. -
Advanced ML AlgorithmsSpecialized, modality-specific neural models providing precise AI-content probability scores and detailed metadata. -
Detailed Reporting & StatisticsClear dashboards, probability breakdowns ("AI - 70% / Human - 30%"), metadata analysis, and geotagging for comprehensive insights. -
REST API IntegrationSeamlessly integrate AI-content detection into your existing workflow and applications.
Who Benefits
Ideal for media platforms, financial institutions, educational entities, HR teams, developers, and government agencies, ZeroTrue empowers you to detect, label,
and filter synthetic content effectively — protecting your organization from fraud, misinformation, and reputational harm.
and filter synthetic content effectively — protecting your organization from fraud, misinformation, and reputational harm.
- Media Platforms & Social NetworksRapid moderation against misinformation, deepfakes, and manipulative content.
- Educational Institutions & HREnsuring academic integrity and authenticating interview content.
- Government & Law EnforcementCombating cybercrime, disinformation, and propaganda.
- Corporate & Financial InstitutionsAccurate identity verification (KYC), fraud prevention, and secure video conferencing validation.
- Developers & IT CompaniesEmbedding automatic content verification via API integration into applications and services.
- Personal UsageCheck what you are reading, hearing, looking.
Case Studies
We work hard every day to make life of our clients better and happier
- Financial Fraud PreventionA major bank integrated AuthentiScanAI into their KYC process, reducing fraud by verifying authenticity of client-submitted documents, photos, and video identification.1
- Media TrustworthinessNews agencies utilized AuthentiScanAI for real-time detection and labeling of AI-generated images and videos, preventing misinformation during political elections.2
- Academic IntegrityUniversities implemented AuthentiScanAI to authenticate submitted student assignments (texts/code/videos), significantly reducing plagiarism and academic dishonesty.3
- HR & HiringRecruitment agencies automated the validation of video interviews, ensuring candidate authenticity and reducing identity-related fraud.4
- Personal ExperienceEach member of our team has at least 5 years of legal experience. They use their knowledge to make our clients' lives better.5
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ZeroTrue was founded by a team of seasoned AI and cybersecurity experts with extensive experience in machine learning, digital forensics, and software engineering.
Blog or News
Category
What is a blog? Basic blog structure for any corporate blog.
Jan. 22, 2024
Category
What is a blog? Basic blog structure for any personal blog.
Jan. 24, 2024
03
Generated text (synthetic content)
Generative language models are able to write coherent articles and mimic the author's style. In 2019, it was discussed that “textual deepfakes” could flood the internet with untrue news stories. Now models like GPT-4/Gemini are widely available and can create convincing fake reviews, comments, and social media posts - a new form of synthetic content that must also be combated.
05
Generated music (synthetic)
Algorithms can generate not only speech, but also singing in the style of a given artist. In 2023, a viral track with voices similar to Drake and the Weeknd, completely generated by AI, appeared - it gained millions of listens until copyright holders sought to remove it. Major labels are already discussing legalizing such technology with artists.At the same time, models like OpenAI Jukebox can compose music in the style of a particular genre or band, blurring the line between original and generated tracks.
02
Voice Cloning, TTS, Spoof
Synthetic voices have achieved remarkable realism. Neural network-based algorithms (e.g. WaveNet) have learned to copy a person's timbre and intonation from a short recording sample. By 2019, cases of abuse appeared: for example, fraudsters used a voice generator to imitate the speech of the CEO and demand a transfer of money - a British company lost $243,000 by believing the voice of the “chief”. Online services are now available where you can create a “clone” of the voice of any famous singer or politician in seconds. This has led to a surge of amateur creativity - so-called AI cover songs, when any song is re-transformed as if it were sung by someone else's vocals. Thousands of online users are experimenting by overlaying the voices of celebrities on other people's tracks.
04
LLM Generated Code
AI has made it possible to create thousands of lines of code that are physically difficult to check for errors and bookmarks. Besides, transferring important code sections to AI may cause risks for implementation of such code. That is why it is important to know what code is created by AI and what code is written by human programmers and tested.
01
Deep fake Video
Deepfakes in video have evolved from simply overlaying someone else's face to fully controlling the facial expressions and head movements of the target person. GAN-type architectures are used, taking into account the temporal sequence of frames. However, creating a realistic long video remains a challenge - small failures in the frame sequence (mismatched highlights, “floating” details) are often noticeable. Nevertheless, deepfakes have already been demonstrated, where, for example, an actor “animates” a photographic face, making it speak and express emotions.
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FAQ
ZT uses specialized, modality-specific machine learning models trained on vast datasets of both human-created and AI-generated content. Images and videos rely on convolutional neural networks (CNNs) and deepfake detection models; text and code utilize language transformer models (like GPT and BERT classifiers); audio and music leverage waveform and spectrogram analysis with recurrent neural networks (RNNs) and CNNs. Each modality has its own optimized model that assesses authenticity and provides an accurate probability score.
ZT provides comprehensive verification for the following modalities:
- Text & Code: Essays, articles, documents, programming code snippets, and other written content.
- Images & Photos: Digital images, photographs, artwork, illustrations.
- Videos: Short-form and long-form videos, deepfakes, manipulated content.
- Voices & Audio: Human speech, cloned voices, synthesized audio.
- Music: AI-generated compositions, synthetic music tracks.
Our models achieve high accuracy through robust training, continuous updates, and ensemble methods. Typically, accuracy exceeds 95% on well-known benchmarks. However, accuracy can vary slightly depending on content complexity, quality, and modality. ZeroTrue provides detailed probability scores, enabling nuanced interpretation rather than simple binary outputs (AI vs. Human).
Thanks to our scalable architecture and GPU-accelerated backend, most analyses complete within seconds or minutes. Text and code analyses typically return results instantly (under 3 seconds), while images, audio, and short videos usually process in 5-15 seconds. Longer video or complex multimedia files may require slightly more time, depending on size and complexity, but the system provides asynchronous callbacks and notifications upon completion.
ZT offers a simple yet powerful REST API, allowing seamless integration into existing workflows and applications. You can submit content via URLs or direct file uploads. Our API supports asynchronous processing, webhook callbacks, and JSON-formatted responses with rich metadata. We also provide comprehensive API documentation, code examples, and SDKs for popular programming languages to streamline integration efforts.
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