Demo scenarios
Click a scenario to load it into the playground and run it. Each scenario mirrors an example from the project README.
Interactive playground
Output
Output will appear here.
About nexttext
nexttext is a lightweight Python toolkit for neutralizing and
re-framing text to reduce noise, hidden skew, and unwanted artifacts in AI
pipelines. It works equally well on human-annotated training labels and on
generated labels from captioning or classification models.
- Debias — neutralize gendered or stereotypical language automatically.
- Rebias — reintroduce controlled skew for testing and validation.
- Works for both training data and model outputs.
- Simple API, no heavy dependencies.
- Open source under the MIT license.
Loaded from main at runtime; the demo
always reflects the current sources on that ref.