<Tip>
**Compatibility**


Only available on Node.js.

</Tip>
This notebook provides a quick overview for getting started with TextLoader document loaders. For detailed documentation of all TextLoader features and configurations head to the API reference.

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Overview

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Integration details

ClassPackageCompatibilityLocalPY support
TextLoaderlangchainNode-only✅❌

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Setup

To access TextLoader document loader you’ll need to install the langchain package.

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Installation

The LangChain TextLoader integration lives in the langchain package: 
import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
<IntegrationInstallTooltip></IntegrationInstallTooltip>

<Npm2Yarn>
  langchain
</Npm2Yarn>

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Instantiation

Now we can instantiate our model object and load documents: 
import { TextLoader } from "langchain/document_loaders/fs/text"

const loader = new TextLoader("../../../../../../examples/src/document_loaders/example_data/example.txt")

​
Load

const docs = await loader.load()
docs[0]

Document {
  pageContent: 'Foo\nBar\nBaz\n\n',
  metadata: {
    source: '../../../../../../examples/src/document_loaders/example_data/example.txt'
  },
  id: undefined
}

console.log(docs[0].metadata)

{
  source: '../../../../../../examples/src/document_loaders/example_data/example.txt'
}

​
API reference

For detailed documentation of all TextLoader features and configurations head to the API reference: https://api.js.langchain.com/classes/langchain.document_loaders_fs_text.TextLoader.html