Introducing Airno: AI Content Detection for Everyone
Why we built an open AI detector, how our ensemble approach works, and where we're headed next.
The problem: AI content is everywhere
In the span of two years, AI-generated text and images have gone from novelty to ubiquity. Students submit essays written by ChatGPT. Marketing teams publish blog posts drafted by Claude. Social media feeds are flooded with Midjourney art and DALL-E composites passed off as photographs.
The result is a growing trust gap. Readers, educators, editors, and hiring managers all face the same question: is this real? Existing detection tools are often expensive, opaque about their methods, or tuned to a single model family. We thought there had to be a better way.
Our approach: ensemble detection, not a single model
Airno doesn't rely on one classifier. Instead, we run your content through an ensemble of 7 detection models in parallel -- statistical analyzers, fine-tuned transformers, pattern matchers, and more. Each model votes independently, and Airno produces a weighted confidence score that reflects the overall agreement.
Why ensemble? Because no single detector is reliable across every writing style, language model, and domain. A statistical test might catch GPT-4 but miss Claude. A RoBERTa classifier trained on older data might fail on the latest models. By combining methods, we reduce false positives and catch a broader range of AI signatures.
What we detect
Right now, Airno can analyze two content types:
- Text -- ChatGPT, GPT-4, Claude, Gemini, and AI-rewritten content from paraphrasing tools like QuillBot and Wordtune.
- Images -- Midjourney, DALL-E, Stable Diffusion, and other diffusion-model outputs, detected via frequency analysis, noise patterns, and metadata forensics.
For text, we also highlight the specific phrases our models find most suspicious, so you can see why content was flagged -- not just a score.
Honest about accuracy
We believe transparency matters more than marketing claims. Airno is currently in beta. On obviously AI-generated text (e.g., unedited ChatGPT output over 100 words), our ensemble achieves roughly ~70% accuracy. On heavily edited or mixed content, accuracy drops -- as it does for every detection tool on the market.
We show confidence intervals, reliability scores, and per-model breakdowns so you can make an informed judgment. The final call is always yours.
What's next
- Better models-- We're training on newer data and adding detectors tuned to the latest model releases.
- Audio detection -- ElevenLabs, Bark, and other voice cloning tools leave detectable artifacts. Audio analysis is in development.
- Video detection -- Sora, Runway, and AI video generators are next on the roadmap.
- API access -- For developers and platforms that want to integrate detection into their own workflows.
Try it now
Airno is free to use -- no account required. Paste any text or upload an image and get results in seconds.