---
title: "MarkItDownConverter"
id: markitdownconverter
slug: "/markitdownconverter"
description: "A component that converts files (PDF, Word, PowerPoint, Excel, HTML, images, and more) to Documents using Microsoft's MarkItDown library."
---
# MarkItDownConverter
A component that converts files to Documents using Microsoft's MarkItDown library.
| | |
| --- | --- |
| **Most common position in a pipeline** | Before [PreProcessors](../preprocessors.mdx) or right at the beginning of an indexing pipeline |
| **Mandatory run variables** | `sources`: File paths or [`ByteStream`](../../concepts/data-classes.mdx#bytestream) objects |
| **Output variables** | `documents`: A list of documents |
| **API reference** | [MarkItDown](/reference/integrations-markitdown) |
| **GitHub link** | https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/markitdown |
## Overview
`MarkItDownConverter` converts files into Haystack Documents using Microsoft's [MarkItDown](https://github.com/microsoft/markitdown) library. MarkItDown converts many file formats to Markdown, including PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx), HTML, and more. All processing is performed locally without relying on external APIs.
The converter accepts file paths or [ByteStream](../../concepts/data-classes.mdx#bytestream) objects as input and outputs the converted result as a list of Documents. You can attach metadata to the Documents through the `meta` input parameter.
:::note
This component returns Markdown content. Avoid piping it through `DocumentCleaner()` with its default settings because `remove_extra_whitespaces=True` and `remove_empty_lines=True` can collapse line breaks and flatten headings, tables, lists, and image tags. Connect the converter directly to your next component, or disable those options if you need custom cleanup.
:::
## Usage
Install the MarkItDown integration:
```shell
pip install markitdown-haystack
```
### On its own
```python
from haystack_integrations.components.converters.markitdown import MarkItDownConverter
converter = MarkItDownConverter()
result = converter.run(sources=["document.pdf", "report.docx"])
documents = result["documents"]
```
### In a pipeline
```python
from haystack import Pipeline
from haystack.components.preprocessors import DocumentSplitter
from haystack.components.writers import DocumentWriter
from haystack.document_stores.in_memory import InMemoryDocumentStore
from haystack_integrations.components.converters.markitdown import MarkItDownConverter
document_store = InMemoryDocumentStore()
pipeline = Pipeline()
pipeline.add_component("converter", MarkItDownConverter())
pipeline.add_component(
"splitter",
DocumentSplitter(split_by="sentence", split_length=5),
)
pipeline.add_component("writer", DocumentWriter(document_store=document_store))
pipeline.connect("converter", "splitter")
pipeline.connect("splitter", "writer")
pipeline.run({"converter": {"sources": ["document.pdf", "report.docx"]}})
```