DevKits

PDF Text Extractor — Copy Text from PDF Online (No Upload)

Extract text from any digital PDF in seconds — copy to clipboard or download as .txt. 100% client-side: no upload, no watermark, no size cap.

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Drop a PDF here, or

Text extraction runs locally. Scanned PDFs need OCR (not supported yet).

Drop a PDF to extract every page's text into one downloadable .txt file. Runs entirely in your browser using pdf.js — no upload, no watermark, and no length cap. Scanned PDFs need OCR (not supported yet).

What is PDF Text Extractor?

Extracting text from a digital PDF sounds trivial, but the fine print matters: PDF has no concept of paragraphs or reading order, only glyphs placed at (x, y) coordinates. Every text-extraction tool has to reconstruct reading order after the fact, and that's where quality varies. This extractor uses Mozilla's pdf.js — the same library Firefox uses to display PDFs — and stitches the emitted text items into reading order using pdf.js's own EOL hints. Because it runs entirely in your browser, you can extract text from confidential documents that you wouldn't upload to a third-party service. The output is a clean UTF-8 text file, with optional page-break markers so you can jump between pages.

How to extract text from a PDF online

  1. 1Drop a PDF onto the drop zone, or click 'Choose file'.
  2. 2The tool parses every page in your browser, extracts the text layer, and joins items into paragraphs.
  3. 3Preview the combined text in the editor. Toggle 'Page breaks' to insert '--- Page N ---' markers between pages.
  4. 4Click 'Copy' to grab the text or '.txt' to download it as a UTF-8 text file.

Use Cases

Feed a PDF into an LLM prompt

Extract clean text and paste it into ChatGPT, Claude, or a local model for summarization, translation, or Q&A.

Search a book you don't want to open

Convert a long PDF into .txt so you can grep it, load it into a text editor, or index it with ripgrep.

Move quotes into a note-taking app

Pull a section of a research paper into Notion, Obsidian, or Markdown without retyping.

Preprocess for translation

Extract raw text before feeding to a translator (DeepL, Google Translate) — most translation tools mangle PDF layout.

Key Concepts

Text layer
In a digital PDF, glyphs are placed with explicit character codes and positions. That collection is the 'text layer' — what tools like this one can read directly.
Reading order
PDFs don't record which characters belong to which paragraph. Extractors reconstruct reading order using position, font, and (in tagged PDFs) explicit structure trees.
Scanned vs digital PDFs
A scanned PDF contains only images of pages; there is no text layer. Recovering text requires OCR — this tool does not do OCR yet.
Tagged PDFs
Accessibility-tagged PDFs carry an explicit structure tree with headings, paragraphs, and reading order — extraction is more reliable on these.

Tips & Best Practices

  • ▸If the output is empty, the PDF is probably scanned. You'll need OCR to recover the text.
  • ▸Multi-column layouts sometimes come out interleaved; page-break markers help you spot where that happens.
  • ▸For huge PDFs, the browser tab may take a while — the tool processes pages sequentially to keep memory bounded.
  • ▸Password-protected PDFs are supported — the password stays on your device.
  • ▸Ligatures like 'fi' and 'fi' come out as whatever the font mapped them to; you may want to normalize with a post-processing step if you care about search.

Frequently Asked Questions

Does it work on scanned PDFs (images)?

No. This tool reads the text layer embedded in digital PDFs. Scanned pages contain only images and require OCR to recover text — not supported yet.

Is line and paragraph order preserved?

Text is emitted in reading order per page as reported by pdf.js. Multi-column layouts, footnotes, and complex reflow may still produce unexpected order — this is a limitation of PDF's fundamentally position-based text model, not a browser-only issue.

Can I extract text from a locked PDF?

You'll be prompted for the password. If the PDF has a permissions-only lock (owner password with content-extraction denied), pdf.js will still let you read the content in the browser, but respect the copyright holder's wishes when you use the extracted text.

Is my PDF sent anywhere?

No. All parsing happens in your browser. You can drop the network cable and this tool still works — it's fully offline once the page is loaded.

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