
MarkItDown
Doc2Markdown
Markdown to PDF
Markitdown Online
Mark2PDF
CloudConvert
PDFtoMD.app
MarkdowntoPDF.me
TokenPig
Markitdown Online
Doc2Markdown
Docling
JustMarkdown
Markdown.free
Unmarkdown
TokenPig converts documents into clean, structured Markdown built specifically for LLM and RAG workflows โ ChatGPT, Claude, Gemini, and retrieval pipelines.
Raw PDF, Word, PowerPoint and Excel exports carry a lot of formatting noise โ repeated headers, broken tables, inconsistent whitespace โ that eats into an LLM's context window without adding useful information. Cleaning that up manually is tedious, and general-purpose converters weren't built with token efficiency in mind.
Researchers, consultants, and students who regularly paste documents into ChatGPT or Claude and want cleaner, cheaper context โ plus developers and teams building retrieval-augmented generation pipelines who need reliable document-to-Markdown conversion, with an API for automation.
Compared to open-source libraries like MarkItDown or Docling, TokenPig is built for people who want a ready-to-use tool with no setup, along with visibility into token savings โ while still offering an API for teams that want to integrate it into their own pipeline.
MarkItDown
TokenPigTokenPig's answer:
TokenPig started from a recurring frustration: pasting PDF or Word exports into an LLM and watching layout noise โ repeated headers, broken tables, stray whitespace โ 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 โ something general-purpose converters don't surface.
TokenPig's answer:
TokenPig runs entirely in the browser โ 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 โ no client installation required.
Based on our record, MarkItDown seems to be more popular. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You don't need to use an online service to do this; you get to avoid spending money on tokens doing it offline. Gemma 4 works perfectly well offline on limited hardware (I have an 8GB video card) and can handle extracting text from image-based PDFs just fine. Take a PDF -> run it through MarkItDown [1], using the OCR plugin if you need (point it to Gemma 4) -> now you can ask Gemma 4 questions about the document.... - Source: Hacker News / about 1 month ago
Related: https://github.com/microsoft/markitdown. - Source: Hacker News / about 1 month ago
I have a standing instruction for any documents that can't natively be read by a given AI to first be converted into .md using https://github.com/microsoft/markitdown which I've found to work really well. - Source: Hacker News / about 2 months ago
Native support: https://techcommunity.microsoft.com/blog/onedriveblog/introducing-markdown-support-in-sharepoint-and-onedrive/4512174 Microsoft OSS python: https://github.com/microsoft/markitdown. - Source: Hacker News / about 2 months ago
Microsoft's open-source MarkItDown is a Python library and CLI that converts PDFs (plus Office files, images, audio and more) into Markdown aimed squarely at language models. It's fast, free, and trivial to drop into a script. - Source: dev.to / 2 months ago
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