Tweet Md

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tweet.md is a developer and research utility designed to convert X (formerly Twitter) posts and threads into clean, readable Markdown. Instead of parsing messy HTML, scraping data, or handling complex JSON embeddings, users can easily modify an X post URL by changing 'x.com' to 'tweet.md' or utilize its dedicated conversion API. The resulting output is fully optimized for large language models (LLMs), AI agents, research workflows, and digital note-taking applications. It automatically retains valuable context, including author attribution, timestamps, canonical links, media elements, quoted posts, and multi-post threads, while minimizing token usage during AI interactions.
Converts X posts and threads into clean Markdown for AI workflows.
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What is Tweet Md?

Converts X posts and threads into clean Markdown for AI workflows.

tweet.md is a developer and research utility designed to convert X (formerly Twitter) posts and threads into clean, readable Markdown. Instead of parsing messy HTML, scraping data, or handling complex JSON embeddings, users can easily modify an X post URL by changing 'x.com' to 'tweet.md' or utilize its dedicated conversion API. The resulting output is fully optimized for large language models (LLMs), AI agents, research workflows, and digital note-taking applications. It automatically retains valuable context, including author attribution, timestamps, canonical links, media elements, quoted posts, and multi-post threads, while minimizing token usage during AI interactions.

Core Features
URL-swap text conversion (replace x.com with tweet.md)
LLM token-optimized Markdown formatting
Full multi-post thread extraction and response chain parsing
Comprehensive metadata recovery including author attribution, timestamps, and canonical links
Support for Obsidian formatting with custom YAML frontmatter and vault-friendly headings
Official X API calling ensuring accurate data without manual HTML scraping
Popular Use Cases
  • Pasting clean, uncorrupted X thread text into ChatGPT, Claude, or Gemini without losing media contexts or breaking links
  • Feeding programmatic X data context to automated AI agents and developer scripts using a lightweight API
  • Archiving research findings and social media discussions directly into knowledge bases like Notion or Obsidian
Feature Comparison
A functional comparison based on maker input.
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Comparison details are provided for informational purposes and should be verified with the official website.
How to use
  • To use tweet.md
  • simply open any X post or thread URL and replace 'x.com' with 'tweet.md' in your browser's address bar. This will instantly open a page containing the clean Markdown representation of the post. From there
  • copy the text and paste it into your preferred AI chat assistant
  • agent
  • or note-taking app. Developers and scripts can also integrate the functionality directly by querying the conversion API with an Authorization header or API key parameter.
Pricing
Tweet Md uses a freemium pricing model. Pricing and features may change over time.
500 credits pack
$5
$0.01 per credit. Approximate usage covers around 166 posts with full metadata. Includes API key and browser session storage after checkout.
2,200 credits pack
$19
$0.0086 per credit. Best value balance optimized for AI agents. Approximate usage covers around 733 posts with full metadata. Includes API key and browser session storage after checkout.
6,000 credits pack
$49
$0.0082 per credit. Lowest per-credit rate for heavy programmatic workflows. Approximate usage covers around 2,000 posts with full metadata. Includes API key and browser session storage after checkout.
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Related Tags
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