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

# Access and Use the LandingLens Python Library

export const vp = 'Visual Prompting';

export const smartLabel = 'Smart Labeling';

export const productLL = 'LandingLens';

export const mi = 'Mobile Inference';

export const llsf = 'LandingLens on Snowflake';

export const companyName = 'LandingAI';

*This article applies to these versions of LandingLens:*

<table>
  <thead>
    <tr>
      <th>LandingLens</th>
      <th>LandingLens on Snowflake</th>
    </tr>
  </thead>

  <tbody>
    <tr>
      <td><span class="check-icon">✓</span></td>
      <td><span class="check-icon">✓</span> (see exceptions below)</td>
    </tr>
  </tbody>
</table>

<iframe width="560" height="315" src="https://www.youtube.com/embed/yLglqmiPC1Q?&wmode=opaque&rel=0" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen />

Watch this video to learn how to access the LandingLens Python library and build an application to detect suits in playing cards.

<Info>The Python library offers limited support for {llsf}. The Python library can be used to [run inference](https://landing-ai.github.io/landingai-python/inferences/getting-started/) and perform [image operations](https://landing-ai.github.io/landingai-python/image-operations/) like cropping and resizing images. However, it doesn't support other functions for interacting with data on, like uploading images and assigning splits.</Info>