TokenPig
PDF to Markdown

Convert PDF to clean Markdown for ChatGPT

Turn a difficult-to-reuse PDF into structured Markdown that is easier to paste, inspect and reuse in ChatGPT.

No sign-up for the first conversions · Files processed temporarily · Current plan limits apply

Drop your document herePDF · DOCX · PPTX · XLSX and moreOpen the converter
Why this page exists

PDF is a delivery format, not a clean working format. A page can look perfectly readable to a person while hiding repeated headers, page numbers, broken reading order and layout artifacts that make the extracted text harder to reuse.

TokenPig converts the document into Markdown so headings, paragraphs, lists and basic tables become predictable text. You can review the output, copy it into ChatGPT or download a .md file for later use.

What you get

A cleaner path from file to useful context

Remove layout noise

Strip away repeated page furniture and formatting that does not help the model answer your question.

Keep useful structure

Represent headings, lists, paragraphs and simple tables with lightweight Markdown syntax.

Review before prompting

See exactly what context you are giving ChatGPT instead of treating the original file as a black box.

Reuse the result

Copy the Markdown into a prompt, save it in a knowledge base or version it alongside project documentation.

How to use it

A few steps, with a review before you trust the output

  1. 01

    Upload the PDF

    Drop a text-based PDF up to TokenPig’s current file-size limit.

  2. 02

    Choose the cleanup level

    Use the available optimization mode that best balances detail and token savings.

  3. 03

    Inspect the Markdown

    Check headings, tables and reading order, especially on visually complex pages.

  4. 04

    Copy or download

    Use the cleaned text in ChatGPT or save the .md output for another workflow.

Good fit

Useful when you need to

  • Ask questions about reports, policies and research papers
  • Summarize long PDFs without carrying unnecessary page noise
  • Prepare source material for a custom GPT or project workspace
  • Turn recurring PDF reports into reusable plain-text context
Limitations

What to review honestly

  • Scanned PDFs may need OCR and can produce incomplete text if no usable text layer is present.
  • Multi-column layouts, diagrams and floating text boxes can require a quick manual review.
  • Complex tables may lose visual relationships that depend on page position rather than explicit structure.
  • Password-protected or corrupted files may not be convertible.
Test it yourself

Use a known sample before your own file

Download the sample, run it through TokenPig and inspect the Markdown yourself before trusting it with important documents.

FAQ

Questions specific to this workflow

Does TokenPig support scanned PDFs?

Accuracy depends on whether the file contains a usable text layer and on the OCR available in the conversion pipeline. Image-only scans are harder than normal digital PDFs and should always be reviewed.

Will tables be preserved?

Simple, clearly structured tables generally translate well to Markdown. Tables with merged cells, nested headers or layout-dependent meaning may need manual cleanup.

Does converting a PDF always reduce tokens?

Not always by the same amount. Savings depend on the source file, repeated content and the cleanup mode. TokenPig shows estimates so you can compare the result rather than relying on a generic promise.

Can I upload the Markdown directly to ChatGPT?

Yes. You can paste the result into a prompt or upload the downloaded .md file where the ChatGPT interface and your plan support file uploads.

Are my PDFs stored?

TokenPig states that files are processed temporarily and deleted after conversion rather than being retained as a document library.

Cleaner documents. Better context.

Convert a PDF

Start with a real file, inspect the output, and keep the original source for verification.

Try TokenPig free