You get the entire text content of your PDF as plain text, plus a Markdown export option that preserves basic structure like headings and paragraphs. The output is ready to paste into Word, Google Docs, an AI prompt, or any text editor. Layout columns are linearized, so a two-column page reads top-down.

Native copy-paste often pulls in broken line breaks, ligatures like fi as one glyph, missing spaces, or zero text at all when the PDF is image-based. This converter handles encoding, ligatures, and stripping page artifacts, and it can run optical character recognition on image-only pages. The result is much cleaner text you can actually feed into an LLM or a spreadsheet.

PDFs are uploaded only to perform the conversion and are not retained in a user gallery or used to train models. The extracted text is returned to your browser; copy or download it before navigating away. Do not upload anything you would not be comfortable sending through a third-party LLM gateway.

Text-based PDFs from Word, Google Docs, InDesign, or modern exports convert near-perfectly. Scanned PDFs are supported through OCR but quality depends on the scan resolution; aim for at least 300 DPI for reliable results. Handwriting recognition is limited and works best for clean block letters; expect imperfect results for cursive notes.

Yes. The text-based extractor preserves Cyrillic, Greek, accented Latin, and most other scripts natively. The OCR path is tuned for English and Bulgarian and also handles common European languages; mixed-language PDFs work but may have isolated word errors near the language boundary.

You get the entire text content of your PDF as plain text, plus a Markdown export option that preserves basic structure like headings and paragraphs. The output is ready to paste into Word, Google Docs, an AI prompt, or any text editor. Layout columns are linearized, so a two-column page reads top-down.

Native copy-paste often pulls in broken line breaks, ligatures like fi as one glyph, missing spaces, or zero text at all when the PDF is image-based. This converter handles encoding, ligatures, and stripping page artifacts, and it can run optical character recognition on image-only pages. The result is much cleaner text you can actually feed into an LLM or a spreadsheet.

PDFs are uploaded only to perform the conversion and are not retained in a user gallery or used to train models. The extracted text is returned to your browser; copy or download it before navigating away. Do not upload anything you would not be comfortable sending through a third-party LLM gateway.

Text-based PDFs from Word, Google Docs, InDesign, or modern exports convert near-perfectly. Scanned PDFs are supported through OCR but quality depends on the scan resolution; aim for at least 300 DPI for reliable results. Handwriting recognition is limited and works best for clean block letters; expect imperfect results for cursive notes.

Yes. The text-based extractor preserves Cyrillic, Greek, accented Latin, and most other scripts natively. The OCR path is tuned for English and Bulgarian and also handles common European languages; mixed-language PDFs work but may have isolated word errors near the language boundary.