Accurate AI Image Detection for everyone.

Sightova reads an image's pixels to tell you whether it was likely created by artificial intelligence (like Midjourney or DALL-E) or captured by a camera, and returns an AI probability with a verdict in seconds. It works even when social platforms have stripped the metadata, and when an image carries an invisible watermark or content credentials, it reads those too and can name the exact tool.

See for yourself. We test Sightova on a frozen benchmark of more than 250,000 images covering 50+ generative models, and we publish the method and the results, generator by generator, on our testing methodology page. Results vary with the generator, resolution and compression, so we show you the detail instead of one headline number.

Yes! Our AI image detector is built for everyone. Individual journalists, researchers, and small businesses can use the web dashboard: upload an image, and within seconds you get a probability score, the evidence behind it, and the closest generator style. The Free plan includes 5 scans a day with no credit card.

Create a free account, generate an API key and call our REST API from your own code; API access is included on every plan, including Free. Send an image by upload, image URL or base64 and get structured JSON back in seconds, with an AI probability, a verdict and the supporting evidence. You set the threshold and decide what happens next. Higher volumes and custom terms are available under an enterprise agreement. See the API documentation.

Your images are deleted after analysis and not used for training, and Sightova is hosted in Germany. Your account keeps the analysis record (scores, filename and metadata) for as long as you have it, so you can look back at past results. If you send feedback on a scan in the dashboard, we keep that image so we can review it.

Yes. Each check reads EXIF metadata and C2PA (Coalition for Content Provenance and Authenticity) Content Credentials, and looks for the invisible watermarks Google (SynthID) and OpenAI embed in their images. A signed credential or a watermark can name the exact tool that made an image. And when metadata has been stripped, the model still reads the pixels.