PDFs were designed for printing — not for language models. Pasting raw PDF text into ChatGPT or Claude usually drags in repeating headers, footers, page numbers, broken hyphenated words, and column-flow artefacts that confuse the model and burn tokens. PDF to Clean Text strips that noise and returns paragraphs an LLM can actually reason over.
Extraction runs locally with pdf.js. If your PDF has no embedded text — typical for scans and screenshots saved as PDF — the tool automatically falls back to in-browser OCR via Tesseract. Either way, the file never leaves your computer.
How to use it
- 1.
Drop the PDF
Drag any PDF up to ~50 MB onto the dropzone, or click to browse. Both born-digital and scanned PDFs work.
- 2.
Wait for extraction
A progress bar shows page-by-page extraction. Scanned PDFs take longer because OCR runs per page.
- 3.
Choose your output
Switch between Cleaned (recommended for AI), Markdown (for docs), and Raw (the unprocessed text). Copy or download as .txt or .md.
Why clean text matters for AI
Large language models pay a token cost for every character. Repeating headers across 200 pages can waste thousands of tokens and dilute the model's attention with noise. Removing them gives you more context window for the actual content and noticeably sharper answers, especially on long documents.
Best for
- Research papers and whitepapers
- Long-form reports and ebooks
- Scanned contracts and invoices
- Meeting minutes saved as PDF
- Feeding context to Claude, ChatGPT, or Gemini