AI Content Detection
AI content detection is the analysis of a text, an image, an audio or a video file to establish whether it was produced by a person or generated by a model. SEIZECODE builds detection platforms on spectral analysis, machine learning classification and watermarking, and reports their measured accuracy rather than a promise.
We develop innovative platforms for analyzing and detecting AI-generated content across modalities: text, image, audio, video. Built on spectral analysis, ML classification, and watermarking techniques, these solutions distinguish human content from synthetic content. Applications include editorial compliance, academic fraud prevention, IP protection, and document authenticity verification.
Use cases
Detection matters wherever the origin of a document carries consequences: a diploma, a review, a contract, a published article.
- Verification tool for publishers or content platforms certifying human origin
- Detection system for higher education institutions (anti-fraud)
- Compliance module for platforms managing reviews, testimonials, or contractual documents
What you get
You leave with a deployed platform, its trained models, a detection API and the audit report that states its real accuracy.
- Deployed analysis platform
- Trained classification models
- Detection API
- Performance audit report
- Technical documentation
How it works
Every engagement follows the same four steps, from scoping to handover.
IDEAL FOR
Content platforms, publishers, academic institutions, legal services
Frequently asked questions
The questions prospects ask before they get in touch, answered here first.
How reliable is AI content detection?
No detector is infallible, and any vendor claiming 100 percent is wrong. Reliability depends on the modality, the generator and how the content was edited after generation. Each platform delivered comes with a performance audit stating its measured precision and recall on your data, so decisions can be calibrated on real numbers.
Which content types can be analysed?
Text, images, audio and video, each with its own methods: statistical and stylistic signals for text, spectral and frequency analysis for audio, artefact and consistency analysis for images and video, plus watermark detection where generators embed one.
Can the detector be integrated into our existing platform?
Yes. Detection is exposed as an API, so an editorial system, a learning management system or a document workflow can call it at the point where content is submitted, and store the result with the document.
Is the result usable as evidence?
A detection score is an indicator, not proof. It is delivered with its confidence level and the elements that produced it, so a person can decide what to do with it. For legal use, the audit report documents the method and its limits.
Human or AI-generated? The answer in seconds.
Free scoping in 24h. No sales pitch.