All‑In‑One Deepfake Detection
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.
Get Early Access to ZeroTrue!
We're launching soon!
Join our list to be the first to know and get early access to the platform
Join our list to be the first to know and get early access to the platform
We value your privacy. See our Privacy Policy for details on how we handle your data.
400%↑
$40B↑
Problem & Why It Matters
Why AI Content Verification Matters
AI content authenticity
Deepfake detection
Cybercrime using AI
Disinformation using AI
Target atacks using AI
Manipulation using AI
Comprehensive attacks using AI
Identity theft and mimicrion using AI
AI Risks
AI content tagging
Protection against propaganda and disinfamation
AI-generated content rose 400% YoY, costing enterprises $40B annually
Stop AI Fraud in Seconds — Verify Any Digital Content Instantly
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
Report examples
Key Features
-
Multimodal Content VerificationComprehensive analysis of images, video, audio, music, texts, and code within one platform. -
Real-Time AI AnalysisScan text, images, videos, audio, and code in under 5 seconds for deepfake and synthetic media -
Accurate Deepfake DetectionLeverage multimodal neural models trained on diverse datasets for >87-95% precision -
Advanced ML AlgorithmsSpecialized, modality-specific neural models providing precise AI-content probability scores and detailed metadata. -
Transparent ReportingReceive detailed breakdowns of detected AI artifacts, confidence scores, and provenance metadata -
Seamless IntegrationUse our clean, semantic REST API and plug-and-play SDKs to embed detection into existing systems
Who Benefits
- 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.
- Boost Operational EfficiencyAutomate verification workflows, cutting manual review time by up to 80%.
Case Studies
We work hard every day to make life of our clients better and happier
- Financial Fraud PreventionAuthenticate surveillance footage and video evidence to expose deepfake manipulations.1
- Media TrustworthinessDetect AI-generated text in articles and op-eds to uphold journalistic integrity.2
- Academic IntegrityIdentify AI-assisted essays and code submissions to maintain academic honesty.3
- HR & HiringVerify synthetic media in litigation, intellectual property disputes, and regulatory audits.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
- Journalism & Fact-Checking ServicesFact-checkers can incorporate real-time API checks into their workflows to rapidly authenticate user-submitted media—strengthening trust in breaking news coverage.6
- Intellectual Property EnforcementLegal teams can verify whether imagery, music, or code snippets circulating online infringe on protected works by comparing authenticity scores and metadata provenance.7
- Election Integrity MonitoringNGOs and watchdog groups can scan political ads, debate clips, and campaign materials for deepfake content, providing transparent reports that uphold democratic processes.8
ZeroTrue was founded by a team of seasoned AI and cybersecurity experts with extensive experience in machine learning, digital forensics, and software engineering.
ZeroTrue harnesses advanced neural networks and machine learning to detect AI-generated text, images, deepfake videos, cloned voices, synthetic music, and code with pinpoint accuracy.
Our platform delivers instant, transparent reports—no forensic expertise required—so journalists, educators, enterprises, and individuals can verify content authenticity on demand.
Built for scale, ZeroTrue provides both a developer-friendly REST API and an intuitive web interface, ensuring seamless integration into any workflow.
ZeroTrue harnesses advanced neural networks and machine learning to detect AI-generated text, images, deepfake videos, cloned voices, synthetic music, and code with pinpoint accuracy.
Our platform delivers instant, transparent reports—no forensic expertise required—so journalists, educators, enterprises, and individuals can verify content authenticity on demand.
Built for scale, ZeroTrue provides both a developer-friendly REST API and an intuitive web interface, ensuring seamless integration into any workflow.
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.
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.
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.
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.
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.
Our Deepfake Detection Capabilities
Try ZeroTrue free — no credit card required.
You can use free tokens
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.
We use cookies to provide the best site experience.
...
Sitemap
ABOUT US
WORKS
SERVICES
SCHEDULE
CONTACT
Social media
Instagram
Telegram
X