Free document tool

Free browser parser to turn selectable text PDFs into Markdown

Convert a text PDF to Markdown in your browser. No upload. No AI model.

Choose a PDF with selectable text. A browser worker reads the text layer and rebuilds headings, paragraphs, lists, quotations and simple tables as Markdown. The PDF stays on your device and no AI provider sees it. Every user spends 1 PE for each page converted successfully.

Content reviewed 2026-10-01.

Copy and Markdown download are available from the Text viewer after conversion. See Free limits.

This PDF is parsed in a browser worker. The document is not uploaded and no AI provider receives its contents.

Upload a PDF. text-based PDF files are supported up to 50 MB and 500 pages.

Browser-only conversion · 50 MB max · 500 pages max · Free: 1 PE/page

How does local PDF to Markdown work?

The local PDF to Markdown tool reads selectable PDF text in your browser and rebuilds headings, paragraphs, lists, and simple tables as editable Markdown. It does not upload the document or call an AI model.

Text-based PDFs can be converted locally up to the displayed file and page limits. Scanned pages need an OCR tool because they contain pixels rather than selectable text.

How do you convert a text PDF into clean Markdown without uploading files to a server?

Use PDF to Markdown when your PDF contains selectable digital text and you need clean, editable Markdown for documentation, technical notes, knowledge bases, or LLM context. Before processing, verify that the text can be highlighted in a browser or PDF viewer, confirming the document has an embedded text layer rather than scanned images.

After conversion, check heading hierarchy from # through ###, review list nesting and paragraph flow, and confirm that page headers and footers have been cleaned cleanly. For multi-column layouts, read through the generated Markdown continuously to ensure the reading order follows the logical narrative flow rather than jumping between columns.

If your document is a scan, photo, or screenshot without embedded text, use Image to Markdown, which applies OCR. When structured data fields and tables take priority over narrative prose, use PDF to JSON or the PDF Table Extractor. This local browser conversion requires no cloud uploads and consumes 1 PE per converted page on all plans.

Compare monthly processing allowances and plan limits or read the step-by-step extraction and review guide.

Check document extraction results with Dynamite Docs with these sample files

Business account statement

Open PDF Download PDF

Excel result CSV result JSON result

Commercial invoice

Open PDF Download PDF

Excel result CSV result JSON result

The output stays beside the evidence

Dynamite Docs keeps the source and structured result in one review workspace. Infer document fields and repeating rows, correct values against the page, inspect warnings and export the accepted result.

This is more than a plain OCR transcript. The result separates fields, line items, totals and notes so a person can check the structure before sending data to Excel, CSV, JSON, Google Sheets, Google Drive, a webhook or the API.

Connect an AI provider and get a key

This PDF to Markdown tool runs locally and needs no AI key. Scans, images and structured extraction use the selected AI route.

Provider keys are encrypted before storage. Compare processing options or follow the setup guide.

What the editable Markdown contains

Headings, paragraphs, lists, quotations, and simple code blocks become Markdown based on the PDF text layer and font relationships.
Selected pages stay in source order and use an HTML page-break comment so downstream Markdown tools can keep the boundary when useful.
The Text viewer opens the result as editable UTF-8 Markdown, with copy and .md download controls inside the workspace.
The parser preserves source wording rather than summarizing or rewriting it. Structural markers are inferred from font size, spacing and position, so the reviewer can edit a heading level without changing the underlying text.
Repeated headers, footers and page numbers may be removed when their pattern is clear. Page-break comments remain available when a knowledge base, citation workflow or later editor needs to trace content back to the PDF.

What the local parser can preserve

PDFs store text at page coordinates rather than as semantic headings or paragraphs. The parser reconstructs common Markdown patterns from those coordinates without rewriting the words.

Headings: # Title and ## Section
Paragraphs: Reading-order text with blank lines
Lists: - Bullets and 1. numbered items
Quotes: > Indented source text
Code: Fenced blocks when font and spacing agree
Pages:  markers
Simple tables: Pipe-delimited Markdown rows

Extract first, then decide what to keep

Upload and parse one PDF without creating an account.
Review the generated Markdown beside the source document.
Copy and Markdown download are available from the Text viewer after conversion.
Starter and above add stored files, batch jobs and connected exports. Email intake requires Pro or Scale. File and processing limits depend on your plan.

Compare batch-processing plans or read how extraction and review work.

Text-based PDFs work best

Try selecting a sentence in your PDF viewer. If you cannot select text, the page probably needs OCR. Also check reading order on columns, sidebars, tables, footnotes, and documents with unusual embedded fonts.

Cases that need manual review

A scanned PDF has pixels but no useful text layer, so the local parser stops and asks for an OCR-capable model instead of returning an empty file.
Multi-column layouts can interleave sentences when the PDF stores characters in a different order from the way a person reads the page.
Charts, formulas, embedded pictures, decorative layout, and complicated spanning tables are not reconstructed by the local text parser.
A custom embedded font can expose incomplete character maps, producing missing symbols or unexpected characters even though the page looks normal.
Headers that change slightly on every page may not look repetitive to the parser and can remain inside the Markdown body.

Move a report into Obsidian or another notes app
Create editable documentation from a text PDF
Prepare clean text before structured extraction
Copy selected PDF pages into a knowledge base

Choose the page for the job

Questions about Free browser parser to turn selectable text PDFs into Markdown

Local PDF to Markdown uses no AI model. Every user spends 1 PE per successfully converted page. The browser parser accepts text-based PDFs up to 50 MB and 500 pages.

Does the PDF leave my browser?

No. For this local workflow the browser reads the file and runs the PDF parser in a dedicated worker. It does not upload the PDF to an extraction endpoint or AI provider.

Can it convert a scanned PDF?

Not with the local parser. A scanned page is an image and has no useful text layer. If the parser finds no readable text, choose an OCR-capable model explicitly.

Will tables and columns be exact?

Simple tables and single-column pages usually produce the cleanest Markdown. Spanning cells, dense columns, formulas, charts, and unusual reading order can need manual edits.

Does local PDF to Markdown use my Free allowance?

Yes. Each successfully converted page costs 1 PE for Free and anonymous users. The browser sends only the page count, file hash, and idempotency key to the usage ledger. It never sends the PDF or Markdown text.

What should I review after local conversion?

Read the full output in order. Check heading levels, list nesting, paragraph breaks, columns, quotations, repeated headers, footnotes and simple tables. Compare any missing symbol or unusual character with the PDF, especially when the file uses a custom embedded font.