
12million+ pieces of content tested
Accuracy
AI Aware Accuracy Results
-
Video / Image
99.3% AUROC 0.999 · AP 0.999 -
Audio
97.4% AUROC 0.993 · AP 0.994 -
Text
98.2% AUROC 0.996 · AP 0.996

AI detectors
What our AI detectors can do

Use cases
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. AI Aware’s false positive rate for text detection at the document level is less than 1 in 1,000. 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.
- Accuracy: proportion of samples classified correctly (real as real, AI as AI), measured at the standard 0.5 threshold.
- AUROC (area under the ROC curve): Measures whether the detector ranks AI samples as AI above real ones. 1.0 is perfect, 0.5 is a coin flip.
- AP (average precision): Similar to AUROC focuses on the reliability of AI flagging across all thresholds. 1.0 is perfect.
Results are from validation sets of unseen samples from the same sources as the training data.







