Most “PDF to LaTeX” tools are wrappers around a generic text extractor. They flatten your document into a long string and leave you to put the structure back yourself. Our purpose-built pipeline does the opposite: it reads each page the way a human reader would, and rebuilds it as a real LaTeX project — section by section, equation by equation, page by page.
A thesis, a research paper or a lecture script is more than a stream of words. It has a title page. A table of contents. Sections and subsections that follow each other in a specific order. Equations that mean something only when they sit on their own line. Tables where rows and columns matter. Figures with captions, references, page numbers. Generic PDF-to-text tools see none of that. They export words and call it a day.
When you paste that output into LaTeX you spend hours rebuilding the structure by hand: where did this equation belong? Was that a heading or a bold line? Did the bullet list have three items or four? It's the kind of work that turns a five-minute conversion into a weekend project.
We built our service to reduce that reconstruction work. It aims to recover headings, equations, tables, assets, and page flow as editable LaTeX. You then compare the compiled result with the source, correct anything document-specific, and continue in Overleaf.
This is what makes the difference between “here's your text” and “here's your document”.
Before any conversion happens, the system scans the whole document and builds a plan: language, heading outline, where the table of contents lives, how page numbers are written. This means later stages don't have to guess.
Every page gets its own structural pass. We identify what kind of page it is — title, plain text, math-heavy, table-heavy, figure page — so the next stage can use the right approach for the right content.
Plain text pages go through a fast, cheap path. Math, tables and figures go through a higher-quality path. Both produce real LaTeX environments — equation, align, tabular, itemize, includegraphics — not raw text.
All per-page outputs are stitched into a single main.tex with a prepared preamble. The system aims to keep page boundaries and document flow comparable with the source.
We actually compile the LaTeX server-side. If something breaks, an automatic repair pass reads the compiler error and fixes the offending line — usually a stray backslash or a missing closing brace.
Both the original and rebuilt PDF are rendered to images so you can compare them side by side and identify visible differences before export.
The export contains main.tex, generated assets, and a short README. It is intended for Overleaf, where you can run the first compile and review any remaining warnings or fixes.
Theses, papers, scripts, exercise sheets, handwritten notes, book chapters — every long academic document is a first-class use case.
Convert a finished thesis PDF back to a working LaTeX project for formatting changes, template migrations, or recovering a source draft you no longer have.
Turn a published paper or preprint into editable LaTeX so you can adapt it for a different venue, extend it, or build a follow-up on top of the same structure.
Rebuild a printed lecture script as a real LaTeX project. Equations come back as real equations, sections as real sections — ready to extend or maintain.
Photograph or scan handwritten lecture notes and get a typeset LaTeX document. Math, diagrams and structure come through, not just plain text.
Old PDF exercise sheets become editable LaTeX so you can re-use questions, change values, or build an updated version without retyping everything.
Long academic documents up to 100 pages per project on Pro Plus. The page-by-page pipeline scales to whole chapters without losing structure.
We don't promise pixel-perfect reproduction or a universal accuracy score. The pipeline is designed to reconstruct meaningful content and page structure as a real LaTeX project you can inspect, compile, and keep editing.
Every conversion includes a side-by-side comparison of the original and rendered LaTeX pages. This helps you find anything that needs an edit before submitting, publishing, or sharing the result.
Side-by-side, this is what changes when a tool is built for academic documents instead of arbitrary PDFs.
| Feature | document-to-latex | Generic PDF-to-text |
|---|---|---|
| Page flow kept reviewable | Designed around source-page boundaries and visual comparison | No — pages are merged or re-flowed |
| Equations as real LaTeX | Yes — equation / align / gather environments | Often inline strings or images |
| Tables as real tabular | Yes — tabular and longtable with booktabs | Frequently flattened to plain text |
| Heading hierarchy | Detected with a global document outline | Detected per line — easy to confuse with bold text |
| Compiled PDF preview | Yes — server-side, before you download | No — you compile yourself and hope it works |
| Page-by-page comparison | Yes — original vs rendered, every page | No |
| Self-repair on compile errors | Yes — automatic repair pass | No — you fix LaTeX errors yourself |
| Overleaf-ready ZIP | Yes — main.tex and generated assets packaged together | Loose .tex files, missing assets, manual fixes |
Use the full converter evaluation checklistCompare document-to-latex with Mathpix
No. We run a multi-stage pipeline of our own: a global document planner, a per-page structural analyzer, two separate LaTeX builders for cheap and complex pages, an automatic compile + repair loop, and a side-by-side rendering step. OCR is one small piece of one stage — not the whole product.
The system aims to reconstruct inline and displayed math with appropriate LaTeX environments. Equation tags and uncommon symbols should be checked against the original before relying on the result.
Tables are reconstructed as real tabular or longtable environments with booktabs styling. Header rows, body rows, and merged cells are preserved where possible — not dumped as a raw text grid.
It is designed to process photographed or scanned notes, but handwriting quality varies substantially. Review ambiguous characters, formulas, reading order, and hand-drawn diagrams carefully.
Keeping page boundaries comparable is a design goal, but LaTeX reflow, fonts, tables, and figures can change pagination. Use the page-by-page comparison to verify the result.
Both English and German are first-class. The document planner detects the language and configures babel automatically, including German-specific behaviour like ß handling. Other Latin-script languages also work, though they may fall back to English typesetting.
Absolutely — that's the whole point. The output is a real LaTeX project. You get a proper main.tex with sections, environments, equations and figures, ready for further editing in Overleaf or any local LaTeX editor.
No. You can buy credits once and convert whenever you need to. Credits never expire and can be combined with a subscription if your usage grows.
Your PDF is processed by our backend. Extracted text and document structure may be sent to OpenAI to generate the LaTeX — raw PDFs are not sent by default. Every job stays linked to your account so you can re-download or delete it later.
Sign up in seconds, upload a PDF, and inspect the result page by page before you commit to anything.