---
title: "Preprocessors"
id: experimental-preprocessors-api
description: "Pipelines wrapped as components."
slug: "/experimental-preprocessors-api"
---
## Module haystack\_experimental.components.preprocessors.md\_header\_level\_inferrer
### MarkdownHeaderLevelInferrer
Infers and rewrites header levels in Markdown text to normalize hierarchy.
First header → Always becomes level 1 (#)
Subsequent headers → Level increases if no content between headers, stays same if content exists
Maximum level → Capped at 6 (######)
### Usage example
```python
from haystack import Document
from haystack_experimental.components.preprocessors import MarkdownHeaderLevelInferrer
# Create a document with uniform header levels
text = "## Title
## Subheader
Section
## Subheader
More Content"
doc = Document(content=text)
# Initialize the inferrer and process the document
inferrer = MarkdownHeaderLevelInferrer()
result = inferrer.run([doc])
# The headers are now normalized with proper hierarchy
print(result["documents"][0].content)
> # Title
## Subheader
Section
## Subheader
More Content
```
#### MarkdownHeaderLevelInferrer.\_\_init\_\_
```python
def __init__()
```
Initializes the MarkdownHeaderLevelInferrer.
#### MarkdownHeaderLevelInferrer.run
```python
@component.output_types(documents=list[Document])
def run(documents: list[Document]) -> dict
```
Infers and rewrites the header levels in the content for documents that use uniform header levels.
**Arguments**:
- `documents`: list of Document objects to process.
**Returns**:
dict: a dictionary with the key 'documents' containing the processed Document objects.