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Processed locally in browser

PDF to Text

Extract raw selectable text from your PDF document without formatting clutter.

Select a PDF to extract text

or drag and drop your PDF here to parse selectable text into a plain text document

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Quick Guide

How to Use PDF to Text

01

Upload PDF

Select the document containing text.

02

Extract

Text is parsed instantly on your device.

03

Copy or Save

Copy to clipboard or download as a text file.

Key Capabilities

Fast client-side text extraction
One-click copy to clipboard
Download as .txt file
Zero data transmission over the internet

Local Execution

Extracts unicode glyph streams directly from PDF content streams using in-browser Web Workers, preserving natural line breaks.

Helpful Tips
  • •Ideal for extracting body copy, research quotes, and data tables.
  • •Image-based scanned documents require OCR to extract text; use our OCR PDF tool for image-only scans.
PDF.js Glyph Stream Extractor & Layout-Aware Tokenizer

Text Stream Extraction & Layout-Aware Tokenization

Coordinate-Aware Reading Order

PDF documents do not store text as sentences; they store positioned glyph coordinates. Our tokenizer sorts text items by vertical and horizontal baseline coordinates to reconstruct natural reading order.

Multi-Page Delimited Formatting

Extracted output separates consecutive pages with clear "--- Page N ---" headers, making the resulting plaintext file ideal for analysis, terminal pipelines, or LLM ingestion.

Unicode & Ligature Preservation

Standard typographical ligatures (such as "fi", "fl") and international accented characters are normalized into valid UTF-8 plaintext characters.

Technical Notes
  • •Scanned PDFs without digital text layers require OCR PDF before plain text can be extracted.
  • •Downloads instantly as a clean .txt file without external software dependencies.
  • •Files with password protection must be unlocked before text extraction.

Frequently Asked Questions

Why is no text extracted from my scanned PDF?↓

Scanned documents contain picture pixels rather than digital text characters. Use our OCR tool to recognize characters on scans.

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