Convert Academic PDFs to LLM-Ready Markdown — LaTeX Equations, Tables, and Citations Intact

Drag-drop any academic PDF and download a clean .md file with equations as LaTeX, tables as Markdown tables, and citations as numbered footnotes — ready for ChatGPT, Claude, Obsidian, or your RAG pipeline. No API key, no credit math.

Convert a paper — from $9

academic_paper.pdf

∫₀^∞ e^{-x²} dx = √π/2
[garbled table █████ ████ ███]
References: [1, 2, 3, 4]
— complex layout, hard to parse

paper.md

$$\int_0^\infty e^{-x^2}\,dx = \frac{\sqrt{\pi}}{2}$$
| col1 | col2 |
|------|------|
See[^1], [^2], [^3].

What you get

✓Equations extracted as valid LaTeX markup — not garbled symbols or plain text
✓Complex academic tables rendered as clean Markdown tables, not merged cells or broken rows
✓References and bibliographies converted to numbered footnote citations
✓Drag-and-drop browser upload with instant downloadable .md file — zero API key or developer setup
✓Output compatible with ChatGPT, Claude, Obsidian, and RAG pipelines out of the box

Pricing

Per paper

One paper, one payment.

✓ Pay only for what you convert
✓ No account required
✓ Instant downloadable .md file

Convert a paper — $9

For researchers

Unlimited monthly

$19/mo

Cancel anytime.

✓ Unlimited conversions
✓ Best for active research
✓ Pays for itself after 3 papers

Subscribe — $19/mo

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Questions

What types of equations does it handle?

The converter uses Marker/PyMuPDF4LLM as a baseline parser with a Mathpix fallback for equation-heavy or image-based PDFs, targeting valid LaTeX for inline and display math. arXiv-style STEM papers with embedded text layers convert most reliably; scanned PDFs with image-rendered equations rely on the Mathpix OCR path and may have lower fidelity.

How are citations and references converted?

In-text citations and bibliography entries are detected and mapped to numbered Markdown footnotes. The initial version targets STEM and arXiv citation styles, which Marker handles best per the decision_maker scope-down recommendation. APA, MLA, and Chicago style formatting are on the roadmap.

What makes this different from LlamaParse or Mathpix?

LlamaParse requires API and SDK integration with opaque credit-based billing ($1.25 per 1,000 credits). Mathpix is also API-only with a $19.99 one-time setup fee and produces no citation or table output. This tool is a consumer drag-and-drop UI that handles equations, tables, and citations together — no code, no credit math, flat predictable monthly pricing.

What happens to my PDF after conversion?

Uploaded files are held in temporary cloud storage only long enough to process and serve your download, then deleted automatically. Files are not used for training or shared with third parties.

Does the free plan include all features?

Yes — the free plan converts up to 3 papers per month with full equation, table, and citation support. Above the free cap you can add papers at $9 each or switch to the $19/month unlimited plan for ongoing research workflows.