tweet.md
Replace x.com with tweet.md to get any X post, thread, article, or profile as clean, LLM-ready Markdown.
tweet.md solves a real pain point for anyone feeding X content into LLMs. The URL swap is genuinely clever, and the credit-based pricing means you're not locked into a monthly subscription for occasional use. It's not for bulk scraping (credits add up), and the cookie-based auth is a bit quirky, but for individuals and agents it's the most practical converter we've seen. For heavy usage, consider alternatives like a dedicated scraping API or the official X API directly.
Verified 8d ago · liveness 78/100 · cite: rightaichoice.com/tools/tweet-md
- Prompt engineers and AI researchers feeding X content into LLMs
- Developers building LLM agents or automation workflows
- Content creators extracting tweets for analysis or rewriting
- Automation enthusiasts using Apple Shortcuts
- Users needing full social media management or scheduling
- Those requiring free unlimited usage
- Teams needing collaborative features or shared credit pools
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip tweet.md if you need unlimited or bulk X scraping, free unlimited usage, or team collaboration features, as the credit system and lack of shared pools will become a bottleneck.
Going past 5 free single-post conversions per month means buying a credit pack (starting at $5 for 200 credits), so occasional users might find themselves paying for more than they need.
tweet.md's credit-based pricing (from $5 for 200 credits, $0.025/credit) is ideal for individual professionals and small-scale agents who need occasional conversions without a subscription. It's cheaper than a full X API plan (which starts at $100/mo) and more flexible than a monthly subscription for light usage. However, for heavy bulk processing, per-credit costs add up — a dedicated scraping API like ScrapingBee or the official X API might be more economical at scale.
In short
tweet.md — Replace x.com with tweet.md to get any X post, thread, article, or profile as clean, LLM-ready Markdown. Best for Prompt engineers and AI researchers feeding X content into LLMs, Developers building LLM agents or automation workflows, Content creators extracting tweets for analysis or rewriting. Free to start; paid plans from $5/mo.
What's new in tweet.md
Checked 8 days agoAcross the latest 1 update: 1 feature update.
What people actually say about tweet.md — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
19 mentions across 2 sources (Hacker News, Bluesky) · researched Jul 3, 2026.
- +URL swap is dead simple: replace 'x.com' with 'tweet.md'.
- +Threads up to 100 posts are converted to structured Markdown.
- +Output is token-efficient, optimized for LLMs like ChatGPT and Gemini.
- +Works with 20+ AI tools including Cursor, Claude, and Obsidian.
- +Apple Shortcut integration enables share sheet, clipboard, and Siri.
- −Free tier caps at 5 single posts per month—too low for testing.
- −No support for private X accounts or protected posts.
- −No analytics or logging of previous conversions.
- −Only supports X/Twitter; no other social media platforms.
- −No batch conversion for multiple unrelated posts.
- • None mentioned in community data
Viability Score
How well maintained and how widely used is tweet.md? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- URL swap conversion: replace x.com with tweet.md
- Single post to clean Markdown with stats, media, metadata
- Thread to complete Markdown (configurable branch depth)
- X Article to Markdown with headings, links, media intact
- Profile fetching as Markdown (bio, stats, pinned post, recent posts)
- Author metadata (name, handle, follower count) via userinfo
- LLM-optimized output (token-efficient Markdown)
- Cookie-based authentication for browser sessions
- API key support (Authorization header, x-ios-apikey, or ?apikey=)
- IP whitelisting (up to 5 fixed IPs per key)
- Apple Shortcut integration (Siri, share sheet, clipboard)
- npx agent skill for AI agents (tweet-md/skill)
- Obsidian format (YAML frontmatter, vault-friendly headings)
- Live demo on controlled corpus (no account, no charge)
- Works with 20+ AI tools (ChatGPT, Claude, Gemini, Cursor, etc.)
About tweet.md
tweet.md is a lightweight service that converts X (Twitter) posts, threads, long-form Articles, and profiles into clean, structured Markdown designed for LLM consumption. The core mechanic is a simple URL swap: replace "x.com" with "tweet.md" in any X URL to get token-efficient Markdown back, ready to paste into ChatGPT, Claude, Gemini, Cursor, or any agent. Unlike scraping x.com directly, which gives you clutter, partial threads, and unreliable stats, tweet.md uses the official X API and normalizes everything into clean text with author metadata, media references, and thread structure. The service covers all major X content types: single posts, full threads (with configurable reply chains), long-form X Articles (with headings and links intact), and whole profiles (bio, stats, pinned post, and recent posts). You can control thread depth with parameters like `thread=ancestors` or `thread=all`, and add author details with `userinfo=author` or `userinfo=all`. Output can be plain Markdown or Obsidian-friendly format (YAML frontmatter, vault-ready headings) via `?format=obsidian`. Pricing is credit-based and subscription-free. The free tier lets you convert 5 single posts per month. Paid credit packs start at $5 for 200 credits, with $19 for 1,000 and $49 for 3,000 (the lowest per-credit rate). Each post costs 1 credit; author metadata adds 2 credits per unique author. After checkout, your browser gets a cookie with your API key, and you can also authenticate agents via Authorization header, `?apikey=`, or IP whitelisting (up to 5 IPs per key). Beyond the core converter, tweet.md offers an Apple Shortcut for iOS/macOS (Siri, share sheet, clipboard), an npx agent skill (`npx skills add tweet-md/skill`) that instructs agents to auto-replace x.com URLs, and a live demo on a controlled corpus. It works with 20+ AI tools and is positioned as a purpose-built alternative to scraping X or wrestling with raw JSON — no coding required, just a URL swap.
Behind the Verdict
tweet.md is a niche but remarkably effective tool for a specific workflow: turning X content into clean, LLM-friendly Markdown. The URL swap (replacing x.com with tweet.md) is so simple that it removes almost all friction — you don't need to install anything, create an account, or write code. The output is optimized for LLMs, which means you get token-efficient text that's ready to paste into ChatGPT, Claude, Gemini, or any agent without the usual clutter of native X pages. Strengths: The service handles all major content types — single posts, threads (with configurable depth), X Articles (with headings and links intact), and full profiles (bio, stats, pinned post, recent posts). The parameter system (`thread=`, `userinfo=`) gives you control without bloating the interface. The Obsidian format is a nice touch for knowledge workers who archive to a vault. The Apple Shortcut and npx agent skill show that the developers thought about real-world integrations beyond just copy-paste. Weaknesses: The credit system can be a dealbreaker for heavy users — each post costs 1 credit, and author metadata adds 2 credits per unique author, so a long thread with many unique authors can burn through credits quickly. The free tier is limited to 5 single-post conversions per month, which is enough to test but not much more. Authentication is a bit quirky: the cookie-based browser session works fine for manual use, but for agents you need to use `Authorization` header, `?apikey=`, or IP whitelisting, and the IP whitelist is capped at 5 IPs per key. Where it fits: This is perfect for prompt engineers, researchers, and developers who regularly feed X content into LLMs. It's also great for content creators who want to extract tweets for analysis or rewriting without manually copying and cleaning. The Apple Shortcut makes it useful on mobile. Where it doesn't fit: If you need to bulk-scrape X data (thousands of posts), the credit costs will add up quickly — you'd be better off with a dedicated scraping API or the official X API. If you're looking for a full social media management tool with scheduling and analytics, this isn't it. Teams that need shared credit pools or collaboration features will be disappointed — credits are tied to individual keys. Overall, tweet.md is a well-executed, focused tool that does one thing extremely well. It's not a replacement for comprehensive X API access, but for individual users and small-scale agents, it's a practical, low-friction solution.
Researching tweet.md? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas tweet.md actually fits — and what changes day-one when you adopt it.
You need to analyze a viral X thread about a new product launch in Claude. You copy the URL, replace x.com with tweet.md, and get clean Markdown with all replies. You paste it directly into Claude for summarization.
Outcome: You get a full thread summary in minutes, with complete context and no missing tweets or broken links, saving you hours of manual copying and cleaning.
You want to rewrite a competitor's tweet for your own content strategy. You use the Apple Shortcut on iPhone to convert the tweet to Markdown and save it to Obsidian for later reference.
Outcome: You build a library of tweet Markdown files with YAML frontmatter, ready for rewriting and inspiration, without ever opening the X app.
You're building an agent that researches market sentiment from X. You install the tweet-md skill via `npx skills add tweet-md/skill`, configure your API key via environment variable, and your agent now automatically converts any x.com URL it encounters.
Outcome: Your agent can reliably read any tweet as Markdown, saving tokens and improving accuracy, without custom scraping code.
Use Cases
- Extract a tweet thread as Markdown for analysis in an LLM.
- Save an X profile's bio and recent posts as clean Markdown.
- Use Apple Shortcut to convert tweets on the go via share sheet.
- Feed Markdown into an AI agent for automated summarization or research.
- Archive X content to Obsidian or Notion with YAML frontmatter.
- Replace manual copying from X with a quick URL swap.
- Fetch profile data for lead generation or competitor research.
- Combine with automation tools to batch process multiple posts.
Limitations
- Conversion requires replacing x.com with tweet.md in the URL.
- Free demo only works with a controlled corpus; full usage requires paid credits.
- Credit packs start at $5 for 200 credits.
- Live demo works without account or key.
as of 2026-08-16
Verification history
We have re-verified tweet.md 4 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published tweet.md tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Casual users who occasionally want to convert a single X post to Markdown — enough to test the service without committing to a purchase.
What this tier adds
Free tier gives 5 single-post conversions per month; no credit pack required and no cost.
Starter
$5 one-time
Ideal for
Individuals or light users who need occasional thread or article conversions and don't want a large upfront commitment.
What this tier adds
Buy 200 credits ($5) to unlock conversions beyond the free tier; per-credit cost is $0.025.
Best Value
$19 one-time
Ideal for
Moderate users, such as content creators or researchers, who convert a handful of posts daily and want better value per credit.
What this tier adds
1,000 credits ($19) at $0.019 per credit — a 24% discount compared to the Starter pack.
Pro
$49 one-time
Ideal for
Heavy users running agents or automated workflows that convert many posts; best for bulk conversion with the lowest per-credit cost.
What this tier adds
3,000 credits ($49) at $0.0163 per credit — the lowest rate, ideal for high-volume use.
Where the pricing makes sense
The company stage and team size where tweet.md's pricing actually pencils out — and where peers do it cheaper.
tweet.md's credit-based pricing (from $5 for 200 credits, $0.025/credit) is ideal for individual professionals and small-scale agents who need occasional conversions without a subscription. It's cheaper than a full X API plan (which starts at $100/mo) and more flexible than a monthly subscription for light usage. However, for heavy bulk processing, per-credit costs add up — a dedicated scraping API like ScrapingBee or the official X API might be more economical at scale.
Setup time & first value
How long it actually takes to get something useful out of tweet.md — broken out by persona, not the marketing-page minute.
For manual use: less than 1 minute — just replace x.com with tweet.md in a URL and copy the Markdown. For agents: about 5-10 minutes to install the skill and configure your API key (via Authorization header or ?apikey=). For Apple Shortcut: 2-3 minutes to install the shortcut and set your API key.
Switching to or from tweet.md
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Manual scraping: Replace your manual copy-paste workflow with the URL swap; no need to build a scraper or use browser extensions.
- ↗To Official X API: For heavy usage, consider moving to the X API (starting at $100/mo) if your credit burn exceeds $50/month and you need real-time data.
Integrations
Resources & Guides
Tutorials & Learning
![【最新版】X版でのダイレクトメッセージ(DM)の解放の仕方 [Latest Version] How to Unlock Direct Messages (DMs) on X.#twitter #解説](https://img.youtube.com/vi/rX1EHSQlka0/mqdefault.jpg)
Official links
Tools that pair well with tweet.md
Common stack mates teams adopt alongside tweet.md, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Tweet Md vs Praktika
These tools are for completely different jobs. Choose tweet.md if you need to feed X posts/threads into LLMs or AI workflows — it's a specialized ingest tool. Choose Praktika if you want to practice speaking a language with AI tutors that correct you in real time. They don't compete; pick based on your task: data extraction vs. language learning.
Tweet Md vs Screenplayiq
tweet.md and ScreenplayIQ serve entirely different needs. Choose tweet.md if you're a developer or researcher needing clean Markdown from X for AI workflows—it's free for single posts and integrates with 20+ tools. Choose ScreenplayIQ if you're a screenwriter or producer needing AI-driven screenplay analysis with box office predictions—its free tier offers one analysis per month.
Turnitin vs Tweet Md
These tools serve entirely different needs. tweet.md is for AI developers and researchers who need to pull X content into LLMs as clean Markdown – think data prep for training or analysis. Turnitin is an institutional platform for plagiarism and AI writing detection in education. Choose tweet.md if you work with X data programmatically and want token-efficient output. Choose Turnitin if you're an educator or institution ensuring academic integrity.
Alternatives to tweet.md
View allFrequently Asked Questions
Used tweet.md? Help shape our editorial sentiment research.