> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-devupd-1765394015-eccef47.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# WhatsApp Chat

> [WhatsApp](https://www.whatsapp.com/) (also called `WhatsApp Messenger`) is a freeware, cross-platform, centralized instant messaging (IM) and voice-over-IP (VoIP) service. It allows users to send text and voice messages, make voice and video calls, and share images, documents, user locations, and other content.

This notebook covers how to load data from the `WhatsApp Chats` into a format that can be ingested into LangChain.

```python theme={null}
from langchain_community.document_loaders import WhatsAppChatLoader
```

```python theme={null}
loader = WhatsAppChatLoader("example_data/whatsapp_chat.txt")
```

```python theme={null}
loader.load()
```

***

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  [Edit the source of this page on GitHub.](https://github.com/langchain-ai/docs/edit/main/src/oss/python/integrations/document_loaders/whatsapp_chat.mdx)
</Callout>

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  [Connect these docs programmatically](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
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