AI-generated content is everywhere. Airno gives you the tools to tell the difference — instantly, accurately, and privately.
Airno is an AI content detection platform. Paste text or upload an image, and our ensemble of 7 detection models analyzes it from multiple angles simultaneously.
Rather than relying on a single classifier (which can be fooled), we combine statistical analysis, neural network classifiers, and linguistic pattern matching to produce a confidence score you can actually trust.
AI-generated text and images are proliferating at a pace that outstrips our ability to identify them. From academic submissions to news articles to social media posts, the line between human and machine-created content is blurring.
This creates a trust gap. Educators need to know if student work is original. Journalists need to verify source material. Businesses need to ensure content authenticity. Airno exists to close that gap.
Zipf distribution, sentence entropy, vocabulary richness, and burstiness patterns that differ between human and AI text.
RoBERTa-based transformer models fine-tuned on large datasets of human vs. AI-generated text.
124+ linguistic patterns — hedging language, transition overuse, vague citations, and formulaic structures common in LLM output.
Metadata forensics, frequency domain analysis, CNN-based artifact detection, and consistency checks for images.
We're actively improving our detection models and expanding support to audio and video content. Results should be considered informational, not definitive. Detection accuracy improves with longer text samples (30+ words recommended).
Measures entropy, burstiness, vocabulary richness
Transformer models trained on millions of texts
100+ known AI linguistic fingerprints
Frequency domain artifact detection for images