The AI detector for text, images, video and audio
Detect AI content and deepfakes in seconds.
- 3 free checks, no card
- 15 million+ detection tests run
- Over 97% accurate on text, images, video and audio
How it works
- Upload or pasteAdd text, a document, an image, a video or an audio file.
- AI Aware analyses itMultiple detection models check every part of the content.
- See clear resultsA confidence score, with flagged passages and media highlighted.
What do you need to check?
One platform for every type of AI-generated content.
Text
Essays, reports, CVs and legal documents, with AI-written passages highlighted.
AI text detector →Images
Photos and artwork from Midjourney, DALL·E, Stable Diffusion and more.
AI image detector →Video
Deepfakes, face swaps and AI-generated footage.
Deepfake detector →Audio
Cloned voices and AI-generated speech.
AI audio detector →Accuracy
AI Aware Accuracy Results
Video / Image
99.4%AUROC 0.9996Audio
97.6%AUROC 0.994Text
98.6%AUROC 0.998
How we measure accuracy
We test every detector on samples kept out of its training, then publish the results using the same measures.
Accuracy: the share of samples classified correctly.
AUROC: how well the detector ranks AI content above real content. 1.0 is perfect and 0.5 is a coin flip.
What we tested: we’ve run more than 15 million detection tests across text, images and audio, re-testing as our models are updated. Results taken from tests undertaken between: 8 October 2026 and 28 October 2026, using samples kept out of training and drawn from the same sources as our training data. For testing, video is broken into frames and each frame is tested as an image, so video and image share one figure. The audio figure uses a decision threshold calibrated on the same validation set. Results can be lower on new or unusual content.
For teams that need to know what’s real
AI detection for cybersecurity, financial services, legal, recruitment, publishing and education.
In partnership with
Research-led, with funding from Innovate UK.
More about AI Aware
The detail behind the detector.
What each detector does
Our unified platform covers every major modality of AI-generated content.
AI Text Detection
Detect content written by large language models including ChatGPT, Claude, Gemini, Grok, and others. AI Aware analyses writing patterns, sentence structure, statistical fingerprints, and semantic signals that are characteristic of machine-generated prose whatever AI generator had been used. Our text detector provides a clear confidence score and explainable output, not just a binary verdict.
Common use cases: Students demonstrating that content is human, academic integrity checks, legal document reviews, editorial quality assurance, recruitment screening, content marketing audits.
Deepfake Video Detection
Deepfake video is one of the fastest-growing threats to personal safety, brand reputation, and public trust. AI Aware’s deepfake detector analyses facial inconsistencies, unnatural blinking patterns, lighting artefacts, and temporal anomalies across video frames to identify AI-manipulated or AI-generated footage.
Common use cases: Brand protection, corporate communications verification, fraud prevention, journalism fact-checking, social media moderation.
AI Image Detection
Generative image tools like Midjourney, DALL·E, Stable Diffusion, and Firefly can produce photorealistic images indistinguishable by people. AI Aware’s image detector examines pixel-level artefacts, unnatural texture repetition, and metadata inconsistencies to determine the likelihood that an image was AI-generated or AI-manipulated.
Common use cases: Insurance fraud detection, news and media verification, e-commerce product image auditing, legal evidence review, social media trust and safety.
AI Audio Detection & Voice Clone Detection
Voice cloning technology can now replicate a person’s voice from as little as three seconds of sample audio. AI Aware’s audio detector analyses speech patterns, prosody, background noise signatures, and spectral characteristics. AI Aware detects AI-generated speech or audio that has been synthesised or manipulated.
Common use cases: Fraud and financial crime prevention, call centre security, HR and interview integrity, political content verification, podcast and media authenticity.
Why AI detection matters
AI-generated content is everywhere. More than 20% of content published online contains material that has been fully or partially produced by a generative AI model. From social media posts and news articles to legal briefs and job applications, the line between human and AI-generated content is becoming harder to identify.
The consequences of failing to detect AI-generated content are real and growing. Organisations face brand damage. Legal companies are losing cases due to AI-hallucinated citations. Fraud and identity theftdriven by deepfake video, voice cloning, and synthetic identities are growing.
AI Aware exists to solve these problems. Our platform gives businesses, institutions, the public sector and individuals the confidence to know exactly what they are dealing with.
The science behind AI Aware
AI Aware is an entrepreneurial and creative UK AI deep tech start-up that has been pioneering AI detection since 2023. The company, with support from Innovate UK, has developed an innovative approach to AI image, video, audio and text detection and manipulation. Many AI detectors rely on a single model trained on a fixed dataset. This is a problem as AI generators evolve constantly. AI Aware takes a fundamentally different approach.
Agentic AI detection architecture
Our platform uses a proprietary ensemble framework that combines multiple detection models, each with different strengths, training data, and analytical approaches. We use an agentic AI layer to update these models using AI and human data. By aggregating models and using agentic AI to update them, we achieve higher accuracy and greater robustness than any single-model approach.
Out-of-distribution resilience
One of the hardest problems in AI detection is identifying content from generators the detector has never encountered before. AI Aware’s architecture is specifically designed to handle these ‘out of distribution’ inputs such as hybrid content that simpler detection tools fail with.
Statistical fingerprinting
Every major AI generator leaves subtle statistical traces in its output: patterns in token probability distributions, characteristic phrase structures, and spectral signatures in audio and video. AI Aware incorporates statistical fingerprinting techniques that identify these traces even when content has been post-processed or paraphrased.
Use cases
Deepfakes & Cyber Attacks
Used to spread fake news and enables social engineering and phishing to be highly personalised attacks.
Document creation
Essays, articles, and social media posts can all be detected. As well as incorrect references in legal and scientific documents.
Job applications
CVs, cover letters, and written tasks can be scanned for AI to help you find the top candidates, and not the AI-generated ones.
Fraud
AI has enabled criminals to use synthetic identities, use AI for identity theft, and to generate fake contracts.
Who we are
Our founders have a mix of commercial and technical expertise having built data companies worth over £20m. They have built a range of AI-based products.
Frequently asked questions
Most AI detectors do one thing: check text. AI Aware does four. We detect AI-generated and manipulated content across text, video, audio, and images all from a single platform. That breadth matters because AI threats rarely arrive in just one form. A fraudster might send a cloned voice note, a deepfake video, and an AI-written message as part of the same attack.
We are also one of the only detectors built on an ensemble framework. This is a combination of multiple detection models rather than a single algorithm. This makes us significantly more accurate on hybrid and manipulated content, which is exactly the content bad actors use to defeat simpler tools.
Yes. This is one of the areas where AI Aware outperforms single-model detectors. A growing industry of ‘AI humaniser’ tools exists specifically to defeat basic detectors. These tools rewrite or paraphrase AI content to raise its perplexity score, which is the main signal that simpler detectors use. AI Aware’s looks for deeper structural and linguistic patterns that humaniser tools do not fully erase. It has specifically tested and trained on hybrid content (AI content edited by humans) and manipulated content (human content altered by AI). These are the hardest cases – and the most common ones in real-world misuse.
Confidence is everything in AI detection. This is the area where many tools let users down. A detector that wrongly declares human content as AI reduces credibility and can lead to false accusations. AI Aware provides calibrated confidence scores rather than binary verdicts. This means users see not just whether content is flagged, but how confident the system is. See benchmarking of AI Aware vs other AI text detection systems. The visualisation tool shows you where AI content appears in a document, so you can make an informed, contextual judgement, not just accept a percentage.
The AI Aware text detector identifies content from all major large language models, including ChatGPT (all versions), Claude, Gemini, Grok, and LLaMA. The deepfake and video detector is trained on output from leading AI video generators including Synthesia, Sora, Runway, HeyGen, and Seedance. Voice cloning tools including ElevenLabs and similar synthesis platforms are covered by the AI audio detector. As AI Aware’s methodology does not just rely on fingerprinting individual models, the platform detects AI generators not seen before, keeping pace with the threat landscape.
AI content detection is needed by any organisation that needs to make confident decisions about the content it handles. This includes legal and professional services where AI detector users can authenticate documents, contracts, and submitted evidence. In education, students can prove that their work (or sections of it) are human. For academic institutions, they can detect AI-written essays and dissertations to protect academic integrity. In media and publishing AI content detector users can verify articles, images, and video clips before publication to protect reader trust. Workers in HR and recruitment can screen applications and video interviews for AI-generated content. For financial services and fraud teams, an AI detection platform assists with the detection of synthetic identities, AI-generated documents, and voice-cloned authorisation calls. With cybersecurity, an AI content detection system identifies AI-generated phishing content and deepfake social engineering attacks before they cause damage. The public sector can check fraudulent documents, misinformation and social engineering.
If your use case is not listed, get in touch. We work with partners to build tailored solutions.
Fast. Upload your content (whether it is a document, image, audio clip, or video file) and you will have your detection result in seconds. AI Aware is built for people who need to move at pace: journalists on deadline, fraud investigators reviewing a suspicious call, recruiters screening a high volume of applications. There is no lengthy processing queue.
Most AI detectors give you a single percentage or a traffic light. AI Aware gives you a confidence score alongside a breakdown of which parts of the content are driving the result. This matters because context is everything. A document that is 40% AI-generated might be a problem or it might not, depending on whether that 40% is concentrated in a key section or spread throughout. The AI Aware paragraph-level analysis and visualisation tool let you see exactly what is happening inside a piece of content, so you can make decisions based on evidence rather than a number.
Yes. Start with a free trial directly – no technical setup is required, no sales call needed. You can test the platform on your own content and see the results for yourself. For organisations needing high-volume detection, API access, or a tailored enterprise integration, contact our team to discuss what works for you.
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