Document Parsing

Document Parsing OCR

Turn PDFs, Office files and scans into structured Markdown, tables, figures and formulas. OhMyOCR keeps every block linked to the source page, so you can verify, correct, translate and export without losing layout context.

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How it works

  1. 1

    Upload a PDF, Word, Excel, PowerPoint file or scanned image.

  2. 2

    The parser rebuilds headings, paragraphs, tables, figures and formulas as editable blocks.

  3. 3

    Verify each block against the original page, translate if needed, then export Markdown, Word, Excel, LaTeX, JSON or PDF.

Why OhMyOCR

Markdown with document structure

Headings, paragraphs, lists, tables, figures and formulas stay separated instead of being flattened into one plain-text dump.

Visual source matching

Every parsed block points back to its exact region on the original page, which makes audit and proofreading much faster.

AI translation by block

Translate the full result or selected blocks. Inline mode keeps the original visible; separate mode shows translated blocks on their own.

Exports for real workflows

Download Markdown, Word, Excel/CSV tables, LaTeX, HTML, print-ready PDF or JSON with coordinates.

Document parsing vs plain OCR: what “structured” buys you

Plain OCR answers one question: “what characters are on this page?” Document parsing answers the questions that follow: which lines are headings, where does the table start and end, which block is a formula, what is a header or footer that should be dropped. Without that structure, downstream work — editing, review, translation, indexing — starts with an archaeology step where a human re-discovers the layout.

OhMyOCR’s parser returns the document as typed blocks: paragraphs, headings, lists, tables with cells, figures and formulas, each with its position on the page. The result reads like the document, not like its shredded remains — and because every block keeps its source coordinates, “is this table right?” is a one-click check instead of a page hunt.

Where parsed output actually goes

The most common destinations are Markdown for wikis, notes and static sites; Word for contracts and reports that need further editing; Excel/CSV for tables that feed analysis; LaTeX for scientific material; and JSON with coordinates for search, RAG and automation pipelines that need to know where every block lived.

One parsed result serves all of them — corrections you make once carry into every format, and AI translation can run on the corrected blocks before export. That ordering matters: verify first, then translate, then export, so errors do not multiply downstream.

Frequently asked questions

What is document parsing?

Document parsing extracts structured content from a file: headings, paragraphs, tables, formulas, figures and layout regions. It goes beyond plain OCR by preserving the document structure you need for editing, review and downstream workflows.

Can OhMyOCR parse scanned PDFs?

Yes. Scanned pages are rendered and recognized with OCR, then rebuilt into structured blocks that stay linked to their source regions.

Can it convert PDF to Markdown?

Yes. The parser exports structured Markdown for PDFs and Office files, including headings, tables and formulas where detected.

Does document parsing include translation?

Yes. Paid plans include AI translation for OCR and document parsing results. You can translate selected blocks or the full parsed document.

Is this a document parsing API?

OhMyOCR is currently a web workspace and browser extension. The website focuses on upload, review, correction, translation and export workflows rather than a public API.

Try it on your own file

Free to start, no credit card, results you can verify line by line.