> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ajayji.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Label Studio Integration

> Supercharge Your Data Labeling

**aj** integrates directly with Label Studio, the popular open-source data labeling tool, turning your on-device AI models into a powerful ML backend for annotation tasks.

**How it Works:**

You can configure Label Studio to use your **aj** app as a custom Machine Learning backend. When you're labeling a dataset, you can simply click a button to have one of your on-device models pre-annotate the data for you.

1. **Start the In-App Server:** Activate the `HostedRagService` from within the app.
2. **Connect Label Studio:** In your Label Studio project settings, add the **aj** app as an ML backend.
3. **Pre-annotate with Your Models:** When labeling your data, the "Predict" button will now send the task to your **aj** app.

**Key Benefits:**

* **Use Your Own Models:** Leverage your own fine-tuned, custom, or open-source models running locally on your machine.
* **Accelerate Annotation:** Pre-annotation significantly speeds up the manual labeling process.
* **Ensure Data Privacy:** Because the entire workflow runs on your local network, your sensitive data never leaves your control.
* **Zero-Dependency Integration:** The integration is built directly into the app.