> ## Documentation Index
> Fetch the complete documentation index at: https://getchatcache.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Export ChatGPT conversations to Markdown files

> Save ChatGPT conversations as Markdown with code blocks, tables, images, and formatting preserved. Processed locally — no data leaves your browser.

Markdown export converts your ChatGPT conversation into a portable `.md` file that opens directly in Notion, Obsidian, GitHub, VS Code, and most documentation tools. The entire export runs in your browser — your conversation content never leaves your device.

## What Markdown export preserves

* **Headings** — conversation structure maps to Markdown heading levels
* **Code blocks** — syntax highlighting language labels (e.g., `python`, `javascript`) are retained
* **Tables** — headers, column alignment, and data rows are all preserved
* **Bold and italic** — inline formatting carries through exactly
* **Images** — DALL-E outputs, file uploads, and inline graphics are included

## Example: exported code block

A Python code block from ChatGPT exports like this:

````markdown theme={null}
```python
def hello():
    print("Hello, world!")
```
````

The language label (`python`) is preserved so syntax highlighting works correctly when you paste the file into any Markdown renderer.

## Use cases

* **Notion and Obsidian** — import `.md` files directly into your knowledge base
* **GitHub READMEs** — paste exported code explanations or documentation drafts
* **Documentation tools** — use exported content as a starting point in tools like Mintlify or Docusaurus
* **VS Code** — open and edit locally with full Markdown preview

## Processing

Markdown export runs entirely in your browser. No data is sent to any server, and no account or sign-up is required.

> [!TIP]
>
> Set a custom file name prefix in ChatCache settings to keep your exported files organized. For example, a prefix like `chatgpt-` produces files such as `chatgpt-2026-04-17.md`, making it easy to sort and search your archive.


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.