What is pdf.md?

Offers a streamlined solution for transforming web content and PDF documents into structured markdown format, specifically optimized for Large Language Models (LLMs). This developer-centric service features a RESTful API, facilitating easy integration into AI projects, including Retrieval-Augmented Generation (RAG) applications and document-based chat interfaces. It focuses on simplifying the content processing pipeline for AI development.

The platform emphasizes intelligent content extraction, automatically filtering out irrelevant elements like ads and boilerplate text while preserving the essential structure, including tables, lists, and code blocks. The resulting markdown is designed to be clean and readily consumable by AI models, aiming to reduce token usage and enhance model comprehension. This allows developers to focus on building their AI applications rather than managing complex scraping and PDF processing tasks.

Features

Developer-First API: RESTful API with integrations like LangChain and OpenAI function support.
Intelligent Content Extraction: Filters out noise (ads, navigation) and preserves structure from websites and PDFs.
LLM-Optimized Output: Generates clean markdown specifically formatted for LLM processing, reducing token usage.
PDF Conversion: Transforms PDF documents into structured markdown.
URL Conversion: Converts web page content into structured markdown.
Structure Preservation: Maintains document elements like tables (GitHub-flavored Markdown), lists, code blocks, and quotes.

Use Cases

Building Retrieval-Augmented Generation (RAG) applications.
Creating document-based chat interfaces.
Preparing content for AI model training pipelines.
Automating content extraction from websites for analysis.
Converting PDF knowledge bases into searchable markdown.
Streamlining content ingestion for AI development.

FAQs

How is usage counted for URLs and PDFs?

One URL conversion counts as one request. PDF processing is counted per page, with specific costs detailed in the API documentation (5 credits or 0.5 cents per page).
Are failed conversions charged?

No, only successful conversions consume your quota. Failed attempts due to errors will not be charged.
What occurs if the monthly usage limit is exceeded?

API functionality will cease. Email alerts are sent at 80% and 100% usage. Plan upgrades are available through the dashboard.
How are complex elements like tables handled during conversion?

Tables are converted using GitHub-flavored Markdown syntax. Complex layouts, lists, and code blocks are processed using heuristics and potentially OCR to maintain structure suitable for LLMs.
Is converted content stored?

PDF content and conversion results are stored for 24 hours. URL content is not stored.