2markdown
VS
pdf.md
2markdown
2markdown provides a developer-first API solution for converting web content and PDF documents into LLM-ready markdown. This service intelligently extracts relevant content, filters out noise, and preserves the original document structure, even with complex layouts.
The output is specifically formatted for optimal LLM consumption, reducing token usage and improving AI model understanding. The RESTful API offers native LangChain integration and OpenAI function support, facilitating rapid implementation.
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.
Pricing
2markdown Pricing
2markdown offers Freemium pricing .
pdf.md Pricing
pdf.md offers Freemium pricing .
Features
2markdown
- Developer-First API: RESTful API with native LangChain integration and OpenAI function support.
- Intelligent Content Extraction: Cleans and extracts relevant content from websites and PDFs, filtering out noise and preserving structure.
- LLM-Optimized Output: Formats output specifically for LLM consumption, reducing token usage and improving understanding.
- Rapid Implementation: Allows developers to quickly integrate content processing into their AI applications.
pdf.md
- 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
2markdown Use Cases
- Building RAG applications
- Creating document-based chat interfaces
- Developing AI training pipelines
- Processing documents for LLMs
pdf.md 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
2markdown FAQs
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What counts as a request/conversion?
1 URL = 1 request. For PDFs, we count the number of pages. Some endpoints have different costs, but it is all listed in the API docs. -
How much does PDF processing cost?
PDF processing is charged per page at $0.01 (1 cent) per page. For example, a 10-page PDF would cost $0.10 to convert. -
Do failed conversions count towards my quota?
Nope! We only count successful conversions. If something fails (bad URL, timeout, etc.), your quota stays untouched. -
How do you handle tables and complex layouts?
We preserve tables using standard Markdown syntax (the GitHub-flavored kind). For complex stuff like nested layouts, we use smart heuristics and OCR to maintain document structure. Lists, code blocks, quotes - they all get converted while keeping their hierarchy intact. -
Do you comply with GDPR/CCPA?
Yep, we're fully compliant. we don't store your data, we don't use it for training, and we don't do anything sneaky with it. It comes in, gets converted, goes back to you, and disappears from our system.
pdf.md 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.
2markdown
pdf.md
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