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

# Export model predictions

> Describes how to export Foundry predictions and the options you can choose while doing so.

Exporting predictions from Foundry allows you to use your model's output outside of the Labelbox platform. This is useful for a variety of tasks, such as:

* **Offline analysis:** Analyze model performance in a Jupyter notebook, Excel, or other data analysis tools.
* **Integration with other systems:** Feed predictions into downstream applications or custom MLOps pipelines.
* **Custom reporting:** Create detailed reports and visualizations on model accuracy and behavior.

You can start an export from three main areas in the Labelbox platform, depending on what you need:

| Location | Use case                                                                                                     |
| -------- | ------------------------------------------------------------------------------------------------------------ |
| Catalog  | Best for when you want to search for and select specific data rows that have predictions you want to export. |
| Model    | Ideal for when you need to export predictions from a particular model run.                                   |
| Annotate | Use this when you want to export predictions for data rows that are part of a specific project.              |

## Step-by-step instructions

Follow these simple steps to export your predictions:

### Step 1: Select your data

First, navigate to the **Catalog**, **Model**, or **Annotate** section and select the data rows with the predictions you want to export.

### Step 2: Start the export

From the **Manage selection** menu that appears, choose **Export data**. This will open the **Export** panel where you can customize your export.

### Step 3: Choose your export options

In the **Export** panel, you can select what information you want to include in your export file. Depending on where you export your data from (i.e., Catalog, Annotate, Model), you can choose to include these details in your export:

* Data row details
* Metadata
* Attachments
* MMC code executions
* Project details
* Performance details
* Label details
* Interpolated frames
* **Model run details**
* **Predictions**
* Embeddings
* Model type override
* Export labels from projects
* **Export labels and predictions from model runs**

### Step 4: Generate the export file

Once you've selected your options, click **Export JSON**. Labelbox will then start building your export file.

### Step 5: Download your results

When your export is ready, you'll see a **Download** link in the **Notifications Center**. Clicking this will give you two options for downloading your results:

| Download method   | Description                                                                                                                                                                                                                                                                                                                                                                                                                                  |
| ----------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Browser download  | This is the quickest way to get your file. <br />Click the **Download** button to save the results directly to your computer. **Important:** Don't close your browser until the download is complete, or the file will be incomplete.                                                                                                                                                                                                        |
| Python SDK script | For large datasets, it's better to download using a Python script. The download panel will provide you with a sample script you can copy. This allows the download to happen in the background, so you don't have to worry about closing your browser. You'll need a Labelbox API key to run the script.<br />Click the **Code sample** button to view a sample Python script to download your export results based on the selected options. |