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Dual-Column Layout & Native KaTeX Math

Convert Academic Papers to Markdown with LaTeX

Powered by layout-aware OCR vision-language architecture. Stop retyping equations and fixing broken columns. Upload arXiv preprints, theses, or scanned conference papers and receive clean Markdown with native LaTeX math, preserved reading order, and structured benchmark tables.

Instant Academic PDF Parser

Free: 1 conversion per day · Up to 10 pages · Ready for Obsidian, Notion & Overleaf

Dual-Column Order LaTeX Math Equations 100% Private & Shredded

The 4 Headaches of Academic PDF Extraction

Why copy-pasting from arXiv or IEEE is notoriously painful—and how vision neural extraction solves it.

Double-Column Horizontal Splicing

Common Issue:When standard PDF converters extract a two-column IEEE or arXiv paper, they read across lines left-to-right. Paragraphs from column 1 interleave randomly with column 2, destroying readability.
SheetParser Solution:Layout-aware segmentation reconstructs the true topological reading order, preserving column hierarchies, footnotes, and multi-paragraph threads effortlessly.

Formula Corruption & Lost Notation

Common Issue:Complex equations—matrices, superscripts, Greek characters, and summations—become garbled noise (like '∑_i=1^n' turning into broken squares '???') in traditional OCR.
SheetParser Solution:Computer-vision equation modeling transcribes math directly into valid LaTeX syntax ($$...$$), ready to render immediately with KaTeX or paste into Overleaf.

Benchmark Tables Shredded into Bits

Common Issue:Scientific benchmarks, ablation studies, and multi-header comparative tables collapse into messy single-column text or mismatched cells.
SheetParser Solution:Deep table model visual analysis detects cell boundaries, column spans, and alignments, generating structured Markdown and TSV tables.

PKM Import Friction (Obsidian & Notion)

Common Issue:Researchers manually copy-pasting snippets waste 30+ minutes per paper just cleaning up line breaks, equation wrappers, and table borders.
SheetParser Solution:One-click copy of standard GitHub Flavored Markdown with clean frontmatter headings, ready for Obsidian Second Brain or Notion databases.

Academic Conversion FAQs

Can it handle scanned historical papers and low-resolution PDFs?

Yes. The layout-aware vision engine performs multi-stage OCR on image-only and scanned PDFs, recognizing font weights, equation regions, and reading hierarchy even without a selectable digital text layer.

How are LaTeX formulas formatted in the resulting Markdown?

Inline equations are wrapped in standard single dollar signs ($...$), and block equations are wrapped in double dollar signs ($$...$$). This standard format renders automatically in Obsidian, Notion, GitHub, and KaTeX-enabled Markdown viewers.

Can I copy the extracted formulas directly into Overleaf?

Yes. The raw LaTeX output is 100% syntactically compatible with standard AMS-LaTeX packages, allowing you to copy equations straight into your TeX document without manual re-typing.

Is there a limit on the number of pages I can convert for free?

On the free tier, you can run 1 document per day, up to 10 pages per file. No account registration or credit card is required for your first conversion.

Are my unpublished research drafts kept private and secure?

Absolutely. We enforce an in-memory execution pipeline. Once your file is parsed and delivered to your browser workspace, the temporary file is shredded immediately. Your unpublished preprints and proprietary findings are never saved or used for AI model training.