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# Document loaders
<span data-heading-keywords="document loader,document loaders"></span>
:::info[Prerequisites]
* [Document loaders API reference](/docs/how_to/#document-loaders)
:::
Document loaders are designed to load document objects. LangChain has hundreds of integrations with various data sources to load data from: Slack, Notion, Google Drive, etc.
## Integrations
You can find available integrations on the [Document loaders integrations page](/docs/integrations/document_loaders/).
## Interface
Documents loaders implement the [BaseLoader interface](https://python.langchain.com/api_reference/core/document_loaders/langchain_core.document_loaders.base.BaseLoader.html).
Each DocumentLoader has its own specific parameters, but they can all be invoked in the same way with the `.load` method or `.lazy_load`.
Here's a simple example:
```python
from langchain_community.document_loaders.csv_loader import CSVLoader
loader = CSVLoader(
... # <-- Integration specific parameters here
)
data = loader.load()
```
When working with large datasets, you can use the `.lazy_load` method:
```python
for document in loader.lazy_load():
print(document)
```
## Related resources
Please see the following resources for more information:
* [How-to guides for document loaders](/docs/how_to/#document-loaders)
* [Document API reference](https://python.langchain.com/api_reference/core/documents/langchain_core.documents.base.Document.html)
* [Document loaders integrations](/docs/integrations/document_loaders/)
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