
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.

Quarto
Overleaf
Obsidian
Google Docs
Inkwell.net
Autype
CharacterMap.org
Focus on your text and let Typst take care of layout and formatting. Join the wait list so you can be part of the beta phase.

Which is more popular?
Based on our record, Typst seems to be more popular. It has been mentioned 52 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | tokenpig.co | typst.app |
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| Platforms | — | |
| Listed in |
In their own words, as submitted to SaaSHub.


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...
No description of Typst yet.
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
No TokenPig videos yet. You could help us improve this page by suggesting one.
Typst: The LaTeX alternative in Rust
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing TokenPig and Typst.
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 TokenPig and Typst. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking TokenPig since Aug 2026.
Typesetting: Typst, installed that morning because the idea needed it. 5.5×8.5in spreads, plates facing their fables. - Source: dev.to / 3 months ago
ZUGFeRD and Factur-X are standards used in Germany and France that solve this by putting both readers in one file: a normal PDF users can look at, with the structured invoice data embedded as XML for automation. This post explains why... - Source: dev.to / 5 months ago
Like many of us here I prefer not use PowerPoint. Recently I've been making slides in Typst (https://typst.app) which is great, except there's no good way to actually present the resulting PDF, and no support for speaker notes, videos or... - Source: Hacker News / 5 months ago
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