PaperLab PDF to Markdown User Guide
- georgeskiadas
- Aug 25
- 2 min read
Welcome to PaperLab’s Open MVP, our first step towards making your research workflow smarter, faster, and more accurate.
At PaperLab, our goal is simple: Help researchers get cleaner, AI-ready data at minimal cost.
Why PDFs Are Secretly Failing Your AI
When Retrieval-Augmented Generation (RAG) systems process PDFs directly, the results can often be unreliable:
Text may be parsed incorrectly
Equations can break
Tables may lose structure
Inaccuracies can appear in responses
PaperLab solves this problem by converting PDFs into Markdown (.md) files, a lightweight, structured format that LLMs understand better. With this process, you can explore every element of a document, from headings and handwriting to equations and tables, in a cleaner, more precise way.
Get Started in 4 Simple Steps
Step 1: Access the Dashboard
Go to the platform here.
Step 2: Sign Up
· Create a free account.
· After sign-up, share a short story about why you want to use PaperLab and receive 50 free credits.
- 1 credit = 1 page
- Additional credits can be purchased once your free credits are used.

Step 3: Upload Your PDF
Choose the research paper or document you want to convert.

Step 4: Download Your Clean, AI Ready Package
You will receive a package containing:
A Markdown (.md) file
Figures and images

Why Markdown is a Game Changer
Markdown is a format designed for clarity and structure, which makes it highly effective for AI systems.
Lightweight files that upload easily to RAGs
Preserves headings, equations, and tables with semantic meaning
Improves chunking and reduces errors
Raw PDFs often break structure, sometimes without you realizing it.
Let’s see an example:
Below is a table example from this paper.

Now, we can compare how ChatGPT understands this table with a PDF and how it understands with a Markdown file.


You can see that when a PDF is uploaded into ChatGPT, it showed the wrong number and equation altogether while the Markdown was understood correctly. A very small error which we might not pay attention to.
Why PaperLab?
Affordable: High-quality parsing at minimal cost
Reliable: Cleaner outputs, fewer errors
Future-Proof: Upcoming RAG system for building queryable knowledge bases
Start Converting Smarter Today
Unlock AI-ready research with PaperLab’s new product.






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