Why extract text from PDFs?
PDFs lock content into a fixed layout that's hard to edit or reuse. Extracting the text lets you copy quotes, analyze data, feed content into other tools, or make scanned documents searchable. Our extractor handles both native PDFs (with embedded text) and uses the PDF structure to preserve reading order — no OCR needed for digital PDFs.
Common use cases
Extracting article text from academic papers for citation or analysis. Pulling data tables from financial reports or invoices for spreadsheet import. Converting PDF ebooks or manuals into editable text documents. Making archived documents searchable by extracting their content. Extracting email addresses, phone numbers, or structured data from PDF forms. Feeding PDF content into translation tools, summarizers, or AI assistants.
Quality & technical details
Uses PDF.js to parse the document structure and extract text layer content. Preserves paragraph structure and reading order from the original layout. Handles multi-column layouts, headers, footers, and page numbers. Supports PDFs with embedded fonts, Unicode characters, and right-to-left text. Processing happens entirely in your browser — documents never leave your device. Works with PDFs up to 100 MB on the free plan. Output is plain UTF-8 text that you can copy, download, or paste anywhere.