
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.

Notion
Obsidian
Tana
Evernote
Supermemory
Bear
HyNote AI
Capture and access information from anywhere

Which is more popular?
Based on our record, Mem seems to be more popular. It has been mentioned 6 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | tokenpig.co | get.mem.ai |
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| Platforms | — | |
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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 Mem yet.
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
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Mem: A First Look
More videos
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing TokenPig and Mem.
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 Mem. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of TokenPig yet. Be the first one to post
Mem is a note-taking app focusing on simplicity, quickness, and collaboration. The app allows users to capture, connect, and share information easily. It combines features such as lightning fast capture, always-on...
Recommendations tracked on public social media and blogs since March 2021.


Tracking TokenPig since Aug 2026.
Eg https://get.mem.ai/ approach or https://beta.omnilabs.ai/ But then tailored to Obsidian. Source: almost 4 years ago
I use Notion but I have heard that the andriod experience is not the best. You may want to try Coda, Obsidian, Mem or Anytype. I know of a few others but I think for the purpose of a second brain these can do the trick it’s just about... Source: about 4 years ago
Https://get.mem.ai right now it isa web app they have an iOS app in beta. Source: over 4 years ago
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