Question 1

Why is Markdown better than PDF for LLM prompts?

Accepted Answer

PDF text extraction produces artifacts: broken tables, repeated headers, misaligned columns, page numbers in the middle of paragraphs. Markdown eliminates all this noise while preserving the document structure that LLMs need to understand your content.

Question 2

Which LLMs support Markdown input?

Accepted Answer

All major LLMs natively understand Markdown: GPT-4 and GPT-4o (OpenAI), Claude (Anthropic), Gemini (Google), Llama (Meta), Mistral, and Cohere Command. Markdown is the de facto standard for structured text input to language models.

Question 3

How does Markdown reduce API costs?

Accepted Answer

LLM APIs charge per token. Markdown uses 40-60% fewer tokens than raw PDF text for the same content. For batch processing or production pipelines, this translates directly to lower API bills.

Question 4

Can I use the API for automated conversion?

Accepted Answer

Yes. mdstill provides a REST API for programmatic document-to-Markdown conversion. Integrate it into your LLM pipeline to automatically preprocess documents before sending them to any language model.

Question 5

What about multi-modal LLMs that accept PDFs directly?

Accepted Answer

While some LLMs accept PDF uploads, they still perform internal text extraction that can lose table structure. Pre-converting to Markdown gives you control over the quality of text extraction and ensures consistent results across different models.

Question 6

Is there a file size limit?

Accepted Answer

The web converter supports files up to 20 MB. For larger documents or batch processing, use the API which supports streaming conversion.

Convert Documents to Markdown for LLMs

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Why Markdown

Better input, better output.

Token-Efficient Input

Structure LLMs Can Reason About

Works With Any Model

API-Ready Output

How It Works

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21+ Formats Supported

Frequently Asked Questions