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Extract Text from PDF
Extract all text content from your PDF files. Get plain text or structured JSON output.
Output Format
Choose how you want the extracted text to be formatted
How PDF Text Extraction Works

1. Upload PDF

Select the PDF file containing the text you want to extract

2. Extract Text

Our system reads through every page and extracts all text content

3. Download Result

Get your extracted text in your chosen format

Plain Text Format

Sample output:
Document Title

This is the extracted text from your PDF...
Page 1 content here.

--- Page 2 ---
More content from page 2...

JSON Format

Sample structure:
{
  "metadata": {...},
  "pages": [
    {
      "page_number": 1,
      "text": "...",
      "word_count": 150
    }
  ]
}
Complete Guide: How to Extract Text from PDF Files Online

Why Extract Text from PDF Files?

Data Analysis

Extract text from reports and documents to analyze data, perform searches, or create databases from PDF content.

Content Repurposing

Reuse text from PDFs in presentations, websites, or other documents without manual retyping.

Accessibility

Convert PDF text to formats that work better with screen readers and accessibility tools.

Translation

Extract text to translate PDF documents into different languages using translation services.

Text Mining

Extract and analyze text for research, sentiment analysis, or machine learning applications.

Step-by-Step Instructions

Step 1: Choose Output Format

Select between Plain Text (.txt) for simple readability or JSON (.json) for structured data with metadata and page-by-page breakdown.

Step 2: Upload Your PDF

Click the upload area or drag and drop your PDF file. Files up to 50MB are supported for text extraction.

Step 3: Extract Text

Click the "Extract Text" button and wait while our system processes your PDF and extracts all text content.

Step 4: Download Results

Once extraction is complete, download your text file in the format you selected and use it as needed.

Key Features

High Accuracy

Advanced extraction algorithms ensure accurate text recovery from PDFs

Privacy First

Your files are processed securely and deleted immediately after extraction

100% Free

Extract text from unlimited PDFs without any cost or registration

Lightning Fast

Extract text from multi-page PDFs in seconds with our optimized engine

Frequently Asked Questions

Can I extract text from scanned PDFs?

This tool works best with PDFs containing selectable text. For scanned documents or image-based PDFs, you may need OCR (Optical Character Recognition) software to convert images to text first.

What's the difference between TXT and JSON formats?

TXT format provides plain text output that's easy to read and edit. JSON format includes structured data with page-by-page breakdown, word counts, and metadata - ideal for developers and data analysis.

Will the formatting be preserved?

The tool extracts raw text content. Basic formatting like line breaks is preserved, but advanced formatting like fonts, colors, and layouts are not included in the output.

Is there a file size limit?

Yes, the maximum file size for text extraction is 50MB. This accommodates most PDF documents while ensuring fast processing times.

Are my files secure and private?

Absolutely! All files are processed securely and automatically deleted from our servers immediately after extraction. We never store or share your documents.

Pro Tips for Better Extraction Results

1

Use Native PDFs

PDFs created from digital documents extract better than scanned images converted to PDF.

2

Check PDF Security

Password-protected or encrypted PDFs must be unlocked before text extraction.

3

Choose JSON for Analysis

If you need to process or analyze the text programmatically, use JSON format for structured data.

4

Review Extracted Text

Always review the extracted text for accuracy, especially with complex layouts or special characters.

5

Batch Processing

For multiple PDFs, extract them one by one using the reset button between files for best results.

Free PDF Text Extractor - Extract Text from PDF Online | Cordky | Cordky