
Typora
MacDown
Linked Ideas
vym
Obsidian
OmniOutliner
iA Writer
Marked takes Markdown text–a simple syntax you can learn in minutes–and turns it into beautiful...

Markitdown Online
Doc2Markdown
Docling
MarkItDownai.org
Markovo
MarkItDown
Markdown.free
Upload a document and turn it into clean, token-efficient Markdown for ChatGPT, Claude, Gemini, Cursor and RAG workflows.
Which is more popular?
Based on our record, Marked seems to be more popular. It has been mentioned 26 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | marked2app.com | tokenpig.co |
| Pricing | — | |
| Platforms | — | |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Marked yet.
TokenPig converts documents into clean, structured Markdown built specifically for LLM and RAG workflows — ChatGPT, Claude, Gemini, and retrieval pipelines. The problem Raw PDF, Word, PowerPoint and Excel exports carry a lot of formatting noise — repeated headers, broken tables, inconsistent...
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
Marked || Rant Review
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Marked and TokenPig.
TokenPig's answer:
TokenPig started from a recurring frustration: pasting PDF or Word exports into an LLM and watching layout noise — repeated headers, broken tables, stray whitespace — burn through the context window before the actual content even got read. TokenPig was built to solve that specific problem: clean, structured Markdown output plus visibility into the tokens saved.
TokenPig's answer:
Two main groups: individuals who regularly feed documents into ChatGPT or Claude and want cleaner, cheaper context (researchers, consultants, students), and developers/teams building RAG pipelines who need reliable document-to-Markdown conversion via API.
TokenPig's answer:
TokenPig focuses specifically on token efficiency, not just format conversion. Alongside clean Markdown output, it shows an estimated token savings for every conversion, so users can see exactly how much context window they're recovering before pasting a document into ChatGPT, Claude or Gemini — something general-purpose converters don't surface.
TokenPig's answer:
TokenPig runs entirely in the browser — no Python setup, no libraries to install, no code to maintain. That makes it accessible to non-developers (consultants, researchers, students) while still offering batch processing and an API for teams that want to automate document ingestion at scale.
TokenPig's answer:
TokenPig's answer:
Built as a modern web application using Next.js and TypeScript, with a focus on fast, reliable document processing entirely server-side — no client installation required.
Share your experience with using Marked and TokenPig. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


I came here to recommend Marked: https://marked2app.com But...I like MDV. - Source: Hacker News / 6 months ago
> This looks really nice, but I suppose I might ask the hard questions - how does this compare to Obsidian, To be honest, other than both of them allowing you to write markdown, they're not comparable. Obsidian is the current favorite of... - Source: Hacker News / 8 months ago
I’ve not used it for very large documents, but I’ve been very happy with the fidelity of conversion using Marked 2 (https://marked2app.com) I believe it’s Mac only. I use it sometimes when I’m creating PDFs from my personal documentation... - Source: Hacker News / over 1 year ago
Tracking TokenPig since Aug 2026.
When comparing Marked and TokenPig, you can also consider the following products.


Markitdown Online - Convert DOCX, PDF, PPT to Markdown for Your AI
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MacDown is an open source Markdown editor for OS X, released under the MIT License.
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Convert PDF, Word, PowerPoint, Excel and more to clean Markdown
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A macOS/iOS apps to treat ideas as links of concepts.
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Docling simplifies document processing, parsing diverse formats — including advanced PDF understanding — and providing seamless integrations with the gen AI ecosystem.
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