Artificial intelligence is transforming content creation, particularly writing and text generation. But how many texts are now produced with AI assistance? It’s difficult to quantify, and distinguishing a text written by a human from automated production is becoming a major challenge.
That’s why our Yiaho platform includes an AI detector, offering a technical and universal solution to address this issue. But which AIs can be detected? Here’s what you need to know about our tool.
Comprehensive coverage of all AI models
The AI detector on Yiaho is designed to be agnostic: it can detect any text written with any AI, whether it’s a text written with ChatGPT, Gemini, Grok, DeepSeek, or any other. Our detector can identify whether an AI wrote the text or if it’s a human, without being limited to a specific brand or generation.
This universality extends to major industry names like OpenAI, Google, and Anthropic, as well as open-source solutions such as Meta’s Llama, Mistral AI, or StableLM. Even less publicized models, community forks, or specialized AIs (SEO writing, code generation, automatic summaries) fall within its scope of analysis.
The tool doesn’t rely on a fixed database of digital fingerprints, but on statistical and linguistic modeling capable of adapting to the constantly evolving AI landscape.
The technical principles behind detection
Multidimensional language analysis
The system examines several layers simultaneously:
- Sentence structure: AIs often produce overly perfect logical sequences or uniform sentence lengths.
- Vocabulary and semantics: artificially balanced lexical richness or statistically predictable word associations reveal automated origin.
- Rhythm and coherence: human transitions incorporate more creative imperfections, ellipses, or natural digressions.
- Subtle markers: frequency of adverbs, use of logical connectors, information density per paragraph.
Read also on this topic: Is AI plagiarism? Here’s what the law says
Training on contrasting corpora
The model is fed millions of authenticated texts: articles written by journalists, academic essays, forum comments, as well as pure AI generations in all major languages.
This dual input allows mapping the boundaries between human and machine, even when AIs attempt to imitate a “natural” style.
Continuous updates
Yiaho regularly updates its algorithm to integrate the latest model versions (GPT-5, Gemini, Claude 3.7, etc.). Blind tests are conducted monthly on freshly generated texts to maintain a detection rate above 94% on average, according to internal benchmarks.
Detecting AI in text: Concrete use cases across different sectors
Education and fighting AI plagiarism
Teachers submit suspicious essays. The detector provides a score from 0 to 100% with a detailed report: incriminating paragraphs, linguistic clues, comparison with human profiles of the same academic level.
Journalism and source verification
An editor-in-chief can verify external contributions. A text entirely generated by AI will be flagged, even if it has been slightly modified. This preserves editorial integrity.
Businesses and content marketing
Agencies monitor large-scale content production. A freelancer heavily using ChatGPT for product descriptions will be identified, ensuring an authentic brand voice.
Content creators
Bloggers test their own drafts. A high AI score may prompt manual rewriting to avoid Google penalties on automated content.
Limits and interpretation nuances in detection
No detector achieves perfection. Keep in mind that several scenarios complicate the analysis:
- Hybrid texts: a human who copies and pastes AI paragraphs then partially reformulates them.
- Advanced AIs in “human-like” mode: some instructions prompt the AI to introduce intentional errors or digressions. For example, we have a tool to “humanize text” that can bypass AI detectors.
- Very short texts: less than 100 words reduces statistical reliability.
In these cases, Yiaho displays an intermediate score with a warning: “Moderate probability – human verification recommended.” The tool remains a powerful indicator, not a legal verdict!
How to use the detector on Yiaho?
- Access: Directly on our platform, no registration required!
- Submission: copy and paste your text.
- Analysis: processing in 3 to 8 seconds depending on length.
- Result: overall score and analysis of suspicious passages.
The multilingual interface supports French, English, Spanish, German, and many languages, with equivalent accuracy.
Future developments for the AI detector
Yiaho’s R&D team is currently working on:
- Real-time detection in text editors (Google Docs plugin, WordPress).
- Audio analysis for AI-generated voice transcriptions.
- “Degree of humanization” score to quantify manual edits.
These advances will strengthen transparency without stigmatizing the legitimate use of AIs as writing assistants.
The AI detector applies an analysis framework to any text, whether it comes from ChatGPT, Gemini, Claude, Grok, Llama, or an as-yet-unknown model. Its strength lies in this universality: it can detect any text written with any AI, or confirm the irreducibly human imprint of thought.
In an ecosystem where the boundary is blurring, it offers a stable reference point for students, professionals, and institutions. The machine helps create, the human remains in charge of verification!
