Any AI conversation. Clean Markdown. One click.

Export AI Conversations to Markdown

OmniScriber converts ChatGPT, Claude, and Gemini conversations to properly formatted Markdown files — ready for Obsidian, Notion, GitHub, or any dev workflow.

  • AI conversations from ChatGPT, Claude, and Gemini can't be directly imported into Obsidian or Notion without manual reformatting.
  • Copy-pasting AI outputs destroys code block language tags, heading hierarchy, and table structure.
  • Valuable AI research and coding help cannot be version-controlled or integrated into documentation workflows without a proper Markdown export.
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Supported AI Platforms

ChatGPT

GPT-4, GPT-4o, and all ChatGPT models

ChatGPT to Markdown →

Claude

Claude 3.5 Sonnet, Claude 3 Opus, all Anthropic models

Claude to Markdown →

Gemini

Gemini Advanced, Gemini 1.5 Pro, all tiers

Gemini to Markdown →

Common Markdown Workflows for AI Conversations

Obsidian Vault

Drop exported .md files into your Obsidian vault. Link AI conversations to your existing notes using [[wikilinks]] and query them with Dataview.

Notion Knowledge Base

Import exported Markdown files directly into Notion using the built-in Markdown import. All blocks — headings, lists, code — convert correctly.

GitHub / Documentation

Commit AI coding sessions and technical explanations as .md files in your repository. Reference them in PRs, wikis, or internal docs.

Version Control

Track changes to your AI research over time with Git. Plain Markdown files are ideal for version control — diff them, branch them, merge them.

Sample Output: AI Conversation as Markdown

# AI Conversation Export
Platform: ChatGPT (GPT-4o) · Exported with OmniScriber

---

## User
Write a Python function to chunk a list into batches of n items.

## Assistant

Here is a clean, idiomatic implementation:

```python
from typing import Generator

def chunk_list(lst: list, n: int) -> Generator[list, None, None]:
    """Yield successive n-sized chunks from lst."""
    for i in range(0, len(lst), n):
        yield lst[i:i + n]

# Usage
items = list(range(10))
for batch in chunk_list(items, 3):
    print(batch)
# [0, 1, 2]
# [3, 4, 5]
# [6, 7, 8]
# [9]
```

**Key points:**
- Uses `Generator` type hint for clarity
- `yield` keeps memory usage low for large lists
- The last chunk may be smaller than `n`

Install OmniScriber — It's Free

One-click extension. No account required to get started.

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Frequently Asked Questions

Which AI platforms can I export to Markdown?

OmniScriber exports Markdown from ChatGPT, Claude, and Google Gemini — all from the same extension.

Is the Markdown output compatible with Obsidian?

Yes. OmniScriber outputs GFM (GitHub Flavored Markdown) which is fully compatible with Obsidian. Drop the .md file into your vault and all formatting renders correctly.

What Markdown elements are preserved?

Headings (H1–H4), fenced code blocks with language identifiers, tables, ordered and unordered lists, bold, italic, and inline code are all preserved.

Can I import the Markdown into Notion?

Yes. Use Notion's built-in Markdown import feature. OmniScriber's output is compatible with Notion's block system.

Can I commit AI conversation Markdown files to a Git repository?

Yes. The .md files are plain text and work perfectly in Git. Many developers use this to version-control their AI research and coding sessions.

Is AI to Markdown export free?

Yes. Markdown export from ChatGPT, Claude, and Gemini is available in the free OmniScriber tier.

Install OmniScriber — It's Free

One-click extension. No account required to get started.

Add to Chrome — Free

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