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.
Check text, images, audio, and video for signs of AI-generated content. Use results to inform a human review.
Every check returns a clear Pass, Review, or Block recommendation, with a 0–100 risk score for text and image.
Read our Privacy Policy for details about uploaded media, detection history, and data retention.
Use Ai.Rax in your browser to submit content and review detection results.
Ai.Rax Blog
Field-tested research, product updates, and policy analysis on synthetic media — from the Ai.Rax team.
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The explosion of generative AI tools has transformed how we create content, from student essays and marketing copy to product images, podcast audio, and viral social media videos. While these tools of…
Explore ways to use Ai.Rax 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 can submit content through the web interface and review detection results before deciding whether to publish.
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.
Do not assume that results from different detection tools use the same scale or have the same meaning. Available result fields vary by content type, and some tools return a recommendation and category rather than a numerical score. Read each result in the context of the tool used.
No. A low-risk result does not prove human authorship or authenticity. Likewise, a flagged result does not prove that content was generated by AI. Use detection results alongside source information, creation history, and human review.
Review the result alongside the original content, its source, and any available creation history. A detection result alone does not establish how content was created. If you believe a result is incorrect or encounter a technical issue, contact support with the detection record identifier, if available, and a description of the issue. Avoid sending sensitive content unless it is necessary to investigate your request.
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