Isgen AI

Isgen doesn't just give you one score for the whole document. It breaks the text into sentences and then into phrases, highlighting which parts are pushing the AI score up. That granularity is the main reason to pick it over a simple detector, because it turns a vague number into something you can actually act on. You'll know whether one paragraph is the problem or whether the whole draft reads machine-made.

Instead of a binary verdict, Isgen reports three percentages: how much looks human, how much looks AI, and how much sits in between. The Mixed bucket is the useful one for editors. Real documents rarely land all on one side. A tool that admits as much beats one that forces a yes or no. That honesty matters.

Most AI detectors are built around English and fall apart on anything else. Isgen claims coverage for more than 80 languages, which makes it viable for international classrooms and multilingual content teams. Take the accuracy claim with a grain of salt, but the language range itself is a real differentiator.

You can drop in a single file or upload several at once rather than pasting text by hand. If you're reviewing a stack of submissions, batch mode saves a lot of copy-paste time. It's a small feature. It matters once you're checking more than a couple of documents a day.

Isgen ships an editor where you draft, edit, and proofread in one place while an AI score updates as you write. The pitch is that you catch robotic passages before you finish, not after. It's a different workflow from checking a finished document, and for people who write every day it can be the more useful half of the product.

The detector is trained to flag text from ChatGPT, GPT-5, Claude, Gemini, DeepSeek, and other open-source models. Model coverage matters. Each model writes a little differently, and a detector tuned to one family can miss another. Broad coverage is a reasonable signal that the tool was built to keep pace with the field.