Select a PDF document
Processed 100% locally in your browser with zero remote file transfers.
Choose PDF FileExtract plain text, paragraphs, and structured tabular content from digital PDF documents with one-click copy and text file export.
Processed 100% locally in your browser with zero remote file transfers.
Choose PDF FileMaintains paragraph line breaks and column spacing for readable plain text output.
Extract text from the entire document or select specific page ranges.
Copy extracted text to your clipboard or download as a clean .txt file.
Extracts text locally in your browser using PDF.js without sending documents to cloud APIs.
The Softnag PDF to Text Extractor utilizes Mozilla’s PDF.js text extraction layer running inside your browser.
It parses the document’s content streams (interpreting BT...ET text blocks, font character maps, and Tj/TJ text operators) and resolves glyph unicode mappings.
The extracted text fragments are sorted by coordinate position (Y, X) to reconstruct logical reading order across columns and paragraphs.
Quickly copy lengthy excerpts and bibliography entries from scientific papers.
Extract balance sheet figures from quarterly PDF reports into plain text for spreadsheet pasting.
Extract text from legacy PDF brochures to populate new website CMS pages.
Convert PDF reading materials into plain text for text-to-speech screen readers.
This tool extracts native digital text embedded in PDFs. For scanned photos of paper without embedded text layers, OCR is required.
Standard unicode symbols and Greek mathematical characters embedded with proper ToUnicode font maps extract accurately.
No. Softnag extracts text entirely in local browser memory without transmitting your data over the network.
Yes. You can copy the text to your clipboard or download it as a standard .txt text file.
The text reconstruction algorithm sorts text bounding boxes geometrically to preserve natural top-to-bottom, column-by-column reading order.
This tool extracts native digital text streams. Scanned images with no embedded text streams require optical OCR.