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TokenPig VS PHP Markdown

Compare TokenPig VS PHP Markdown and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Reviews
  3. ยป Alternatives

TokenPig logo TokenPig

Upload a document and turn it into clean, token-efficient Markdown for ChatGPT, Claude, Gemini, Cursor and RAG workflows.

PHP Markdown logo PHP Markdown

PHP port of the Markdown text-to-HTML conversion tool for web writers.
  • TokenPig
    Image date //
    2026-08-06
  • TokenPig
    Image date //
    2026-08-06
  • TokenPig
    Image date //
    2026-08-06

TokenPig converts documents into clean, structured Markdown built specifically for LLM and RAG workflows โ€” ChatGPT, Claude, Gemini, and retrieval pipelines.

The problem

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.

What TokenPig does

  • Converts PDF, DOCX, PPTX, XLSX, HTML, CSV, JSON, XML, TXT and MD into clean Markdown
  • Estimates how many tokens each conversion saves versus the raw document
  • Runs entirely in the browser โ€” no installation, no code, no configuration
  • Offers three output modes (Clean, Compact, Max Savings) depending on how aggressively you want to strip formatting

Plans

  • Free โ€” try it with no signup
  • Personal โ€” for individuals doing regular one-off conversions
  • Pro / Enterprise โ€” batch processing, ZIP export, and a conversion API for teams automating document ingestion into RAG pipelines

Who it's for

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.

  • PHP Markdown Landing page
    Landing page //
    2022-11-06

TokenPig features and specs

  • Supported Formats
    PDF, DOCX, PPTX, XLSX, HTML, CSV, JSON, XML, TXT, MD
  • Token savings estimate
    Shows tokens saved vs. raw document for each conversion
  • Batch processing & API
    Pro/Enterprise plans include batch conversion, ZIP export and a conversion API

PHP Markdown features and specs

  • Simplicity
    PHP Markdown is easy to use, with a straightforward syntax that converts plain text to HTML, making it accessible for developers of all skill levels.
  • Integration
    PHP Markdown easily integrates with existing PHP applications, allowing seamless conversion of Markdown to HTML within diverse PHP environments.
  • Open Source
    Being open-source, developers can modify and extend PHP Markdown to suit specific project requirements, with a community that contributes to its ongoing improvement.
  • Performance
    PHP Markdown is efficient in processing Markdown to HTML transformations, which is beneficial for applications needing quick content rendering.
  • Rich Feature Set
    PHP Markdown supports extra features beyond basic Markdown, such as tables and footnotes, enhancing content formatting capabilities.

Possible disadvantages of PHP Markdown

  • Limited Built-in Security
    PHP Markdown itself does not offer built-in security features, requiring developers to handle HTML sanitization and other security measures to avoid vulnerabilities.
  • Learning Curve for Beginners
    While simple for developers familiar with Markdown, those new to both PHP and Markdown may require time to fully understand and effectively implement the tool.
  • Dependency on PHP
    PHP Markdown is tightly coupled with PHP, limiting its use to applications and environments that support this scripting language.
  • Potential Performance Overhead
    In cases of very large documents or high-frequency conversions, there might be performance overhead that needs optimization.
  • Version Compatibility
    Some updates or dependencies might not be compatible with all versions of PHP, potentially leading to maintenance challenges.

Category Popularity

0-100% (relative to TokenPig and PHP Markdown)

TokenPig

PHP Markdown

Markdown Converter
100 100%
Markdown Converter
0% 0
Markdown Editor
0 0%
Markdown Editor
100% 100
Markdown
100 100%
Markdown
0% 0
Text Editors
0 0%
Text Editors
100% 100

Questions & Answers

As answered by people managing TokenPig and PHP Markdown.

What's the story behind your product?

TokenPig'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.

How would you describe the primary audience of your product?

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.

What makes your product unique?

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.

Why should a person choose your product over its competitors?

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.

Who are some of the biggest customers of your product?

TokenPig's answer

  • Independent consultants and researchers preparing documents for LLM workflows
  • Development teams building RAG pipelines

Which are the primary technologies used for building your product?

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.

User comments

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What are some alternatives?

When comparing TokenPig and PHP Markdown, you can also consider the following products

Markitdown Online - Markitdown Online - Convert DOCX, PDF, PPT to Markdown for Your AI

Markdown by DaringFireball - Text-to-HTML conversion tool/syntax for web writers, by John Gruber

Doc2Markdown - Convert PDF, Word, PowerPoint, Excel and more to clean Markdown

Typora - A minimal Markdown reading & writing app.

Markdown.free - Convert Markdown to PDF, Word, EPUB, HTML and TXT in your browser โ€” no signup, no watermark, files never stored

StackEdit - Full-featured, open-source Markdown editor based on PageDown, the Markdown library used by Stack Overflow and the other Stack Exchange sites.

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