How to Extract Text from PDF — Free Online PDF to Text Tool

🕒 8 min read 📅 Updated March 2026 ✓ 100% Free
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Step-by-Step Guide

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Step 1
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Step 2
Upload your PDF file
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Step 3
Enable OCR if your PDF is scanned
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Step 4
Click Extract Text
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Step 5
Copy the extracted text or download as .txt

Key Benefits

📄
Clean Text Output
Extracts readable plain text, preserving paragraph flow.
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OCR Support
Recognises text in scanned or image-based PDFs.
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Private
File stays in your browser — never uploaded.
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Fast
Extracts text in seconds for most PDFs.

Common Use Cases

▶ Use Case 1
Copy content from a PDF for use in other documents
▶ Use Case 2
Index or search PDF content by extracting to text
▶ Use Case 3
Extract data for pasting into spreadsheets
▶ Use Case 4
Prepare scanned documents for translation or analysis

Expert Tips

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Enable OCR for scanned PDFs — Tesseract.js handles most major languages
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Text-based PDFs (not scanned) extract much faster than OCR mode
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The tool preserves paragraph structure but not complex formatting like tables
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For table data, try PDF to Excel for better structured output

Frequently Asked Questions

Does OCR work for non-English PDFs? ▼
Tesseract.js supports dozens of languages. English is the default — for other languages, accuracy may vary.
Can I extract text from a specific page only? ▼
Currently the tool extracts all pages. Copy just the section you need from the output text.
What if no text is extracted? ▼
If no text is found, the PDF is likely scanned. Enable OCR mode and try again.

Text-Based vs Scanned PDFs: Different Extraction Approaches

Text-based PDFs store text as actual data — PDF.js parses content streams and reconstructs paragraphs by analysing vertical/horizontal spacing between text elements. This is fast and accurate for simple layouts. Complex multi-column layouts, tables, and text wrapping around images may produce imperfect ordering.

Scanned PDFs contain only images. The OCR mode renders each page to a high-res canvas, then passes it to Tesseract.js — a WebAssembly port of the industry-standard OCR engine — which recognises character shapes using language models. OCR takes 2–10 seconds per page. Accuracy depends on scan quality: high-contrast 300 DPI scans yield excellent results; low-quality photocopies or skewed pages reduce accuracy. Use Rotate PDF to straighten skewed pages before OCR for best results.

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