> For the complete documentation index, see [llms.txt](https://picsellia.gitbook.io/picsellia/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://picsellia.gitbook.io/picsellia/data-management/upload-assets-to-your-lake.md).

# Upload assets to your Lake

### With the Platform

Uploading assets to your Lake is really simple, once on your "Datalake" page

![](https://2100239547-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M78aoA9Gcxf25O1fNjm%2F-Me-qprLj97vjJBm88Hk%2F-Me-rxB_S1QAXYuhHbZ9%2Fimage.png?alt=media\&token=960997de-5c05-46c3-a817-d7ec6da3994e)

To upload data, just click on Upload Data on the top right of the page.

Then select the assets you want to upload, **and add tags if you want,** once you've typed a tag, do not forget to press ENTER to validate it.&#x20;

![](https://2100239547-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M78aoA9Gcxf25O1fNjm%2F-Me-qprLj97vjJBm88Hk%2F-Me-sGlmEM2G6uOUQiDb%2Fimage.png?alt=media\&token=35f88327-0834-4fcd-b594-131edcd2a979)

Then click on upload 🚀 !

### With the Python SDK

```python
pip install picsellia
```

First make sure that you have Picsellia Python package installed&#x20;

then you will need to initialize the Client with your API Token, available in you profile page.

```python
from picsellia.client import Client
clt = Client(api_token="your token")
```

Then simply pass the absolute path of the assets to upload.

```python
clt.datalake.picture.upload(filepath=filepath, tags=['AAA', 'BBB'])
```

You can find a complete reference to the SDK [here](/picsellia/references-1/python-sdk-reference-1.md).
