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PDF to Text Extractor
Extract text from your PDF files offline locally in your browser.
100% Offline Extraction
Select PDF document
Drag & drop or select a PDF file to extract text
Extracted Text Output
document.pdf (0 KB)
Extraction Options
How Extraction Works
This tool scans the embedded digital layout dictionary of the PDF file page-by-page. It extracts text characters and structure parameters without uploading any file to external servers.
Extracting text...
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Frequently Asked Questions
Quick direct-answer guides about using this utility tool locally and securely.
How does the PDF to Text Extractor work offline?
We parse the PDF's internal font mapping and text layout directories using PDF.js. The characters are reconstructed into natural paragraphs locally, keeping your files completely secure.
Does this tool support scanned PDFs (OCR)?
No, this tool extracts native digital text embedded within PDFs. For scanned paper documents, we recommend converting them via OCR tools.
Are line breaks and layout structures preserved?
We attempt to match paragraph spacing and indentation parameters using text coordinate details, though very complex multi-column layouts may simplify to ordered rows.
What is the difference between PDF to text extraction and OCR?
Text extraction reads text data that's already embedded in a digital PDF, making it fast and highly accurate. OCR (Optical Character Recognition) is a separate process needed for scanned PDFs, where each page is just an image with no underlying text layer to read.
Can I extract text from a password-protected PDF?
No, you will need to remove the password protection from your PDF first before the text can be extracted.
Will tables and multi-column layouts convert correctly to text?
Simple tables and columns are extracted with reasonable spacing, but complex table structures may lose their original alignment since plain text has no concept of grid layout — the underlying words and order are still preserved accurately.
Why is some of the extracted text garbled or missing characters?
This usually happens when a PDF uses custom or non-standard embedded fonts that map characters differently than expected. Most standard PDFs created from Word, Google Docs, or design software extract cleanly.