The Silent Sentinel of Synthetic Intelligence
Ai.Rax detects deepfakes and machine-generated content across text, images, audio, and video in a single platform.
AI-generated content detection and compliance moderation across text, audio, image, and video.
Generative models leave statistical patterns behind — in word choice, pixels, audio spectra, and video frames — that differ from human-created work. Ai.Rax analyzes those signals and screens for compliance risks in the same pass. Every check follows three steps:
Paste text or upload an image, audio, or video file. The credit cost of the analysis is shown before you submit, so there are no surprise charges.
Detection models examine the signals of machine generation for that media type — linguistic patterns in text, generation artifacts in images and video, spectral fingerprints in audio — alongside compliance screening for pornography, abuse, and spam.
Each check returns a 0–100 risk score mapped to a clear Pass, Review, or Block recommendation, and is saved to your detection history.
Pass means no risk was identified, Review suggests a manual check, and Block indicates a detected violation — so you can act on results without interpreting raw scores.
Our neural engines are trained on the latest generative adversarial networks, keeping coverage current as new content sources emerge.
Every check returns a clear Pass, Review, or Block recommendation, with a 0–100 risk score for text and image.
Uploaded files are automatically cleared from storage once analysis is complete, so your content isn't retained.
Connect Ai.Rax to your existing CMS, Social Platform, or Enterprise Communication tools with three lines of code.
Ai.Rax Blog
Field-tested research, product updates, and policy analysis on synthetic media — from the Ai.Rax team.
As generative AI becomes increasingly accessible, AI-generated content has flooded every corner of the digital landscape: from student essays and blog posts to social media images, podcast voiceovers,…
The rise of accessible generative AI tools has transformed how we create content, from written blog posts and social media captions to photorealistic images, cloned voice recordings, and hyper-realist…
As AI generation tools become more powerful and accessible, the line between human-created and AI-generated content is blurrier than ever. A student might use a large language model to draft a history…
How global teams put Ai.Rax to work across editorial, trust & safety, and brand workflows.
Editorial teams verify submissions, audit guest contributions, and protect their masthead from synthetic content slipping into print.
Trust & safety teams integrate the Ai.Rax API to scan uploads at scale and flag generative media before it reaches public feeds.
Marketing and brand-protection teams monitor for impersonation, deepfake spokesperson clips, and synthetic user-generated content across owned and earned channels.
Quick answers to what people ask most about Ai.Rax.
Ai.Rax provides AI detection across every content type: text, image, video, deepfakes, audio. We are your filter for what’s real.
After logging in, select the content type you wish to analyze—text, images, audio, or video—then upload your file to initiate the detection process.
Ai.Rax does not currently offer an API, though API development is already on our roadmap and will be made available in a future release.
Ai.Rax is free to start — every new account receives 20 welcome credits for text, image, and audio detection. Credits are consumed per detection: text and image checks per analysis, audio and video per minute, and the exact cost is shown before you submit each task.
Need more volume? Paid plans add larger credit allowances across all detection types, including video. Subscriptions renew automatically and can be cancelled anytime to stop the next charge. Prices in USD.
View Plans & Pricing