PDF to Text — Free, Local, LLM-Ready
Extract text from one or many PDFs in your browser — three output styles, no upload, no signup
Drop one or more PDFs onto the page. Every file is parsed locally in your browser and returned as a clean .txt — in your choice of three styles: Standard (Unix-style form-feed between pages), Joined (clean flowing text, best for feeding into ChatGPT / Claude / any LLM), or Numbered (each page prefixed with --- Page N --- for easy reading). 100% in-browser — your PDF never leaves your device.
Drop your PDFs here
or
No upload needed. Everything runs 100% locally in your browser.
How to Convert a PDF to Text for Free
1. Drop one or more PDFs
Drag PDFs onto the drop zone above, or click to browse. Every file is analysed locally — nothing is uploaded to a server. Multi-file batches are supported.
2. Pick an output style
Standard (default, Unix-style form-feed between pages), Joined (no page breaks, ideal for ChatGPT / Claude input), or Numbered (each page prefixed with --- Page N ---). Each card explains exactly what the .txt will contain.
3. Convert
Click Convert to Text. Every page's text layer is extracted and streamed into a plain UTF-8 .txt file. Even 1000-page PDFs usually finish in a few seconds.
4. Download individually
The ready screen lists each PDF's .txt as its own download. No ZIPs, no archives — just clean per-file buttons, same shape as the compress flow.
Why Use Our Free PDF to Text Converter?
Truly Free, Forever
No trial, no hidden paywall, no per-file charge, no daily task limit. Extract text from as many PDFs as you want. The service is ad-supported so it stays free for everyone.
LLM-Ready in One Click
Pick Joined mode and the output is pre-formatted for pasting into ChatGPT, Claude, Gemini, or any AI with a text input. No form-feed characters wasting tokens, no odd line breaks confusing the tokenizer — just clean paragraphs.
Multi-File Batch
Drop 10, 50, 200 PDFs at once. Each one becomes its own .txt file named after the source. Perfect for research workflows, compliance reviews, and any job that needs text out of many documents at once.
Files Never Leave Your Device
All extraction runs locally in your browser. Your PDFs don't touch our servers because we don't have any for your files — we literally cannot see your documents.
No Account, No Email
Start extracting immediately. No signup, no email capture, no credit card. The way desktop software used to work before "free trials".
No File Size Cap
Text extraction is cheap compute — no need to cap input size. A 2GB PDF with 10,000 pages of text extracts in under a minute on a typical laptop.
No Watermark
The .txt contains only what was in the PDF. No "converted with…" header, no footer link, no branding.
Works Offline
Once this page has loaded you can disconnect from the internet and the extractor still works. Great for confidential PDFs you'd rather process without a network.
The Three Output Styles, Explained
Standard — the Unix default
Each page's text is followed by a form-feed character (\f, ASCII 12) before the next page begins. This is exactly what the command-line pdftotext utility produces — so anything downstream (Python scripts, awk pipelines, older text editors) treats the output identically. Pick this when you're replacing a pdftotext run.
Joined — for LLM input
Every page break is removed. Pages are separated by a blank line, not a form-feed. The result is one flowing text — ideal for pasting into ChatGPT / Claude / Gemini / any LLM, because those models don't parse \f usefully and each one of those characters costs a token.
Numbered — for human reading
Each page is prefixed with --- Page N --- on its own line so you can navigate the .txt in a regular text editor and still see where one page ends and the next begins. Useful for reviewing extracted text manually, or attaching text alongside the original PDF for reference.
Important: Scanned PDFs Need OCR
If your PDF is a scan — pure images of text with no embedded text layer — this converter will return nothing (or very little). We extract the text that's already in the PDF. Converting images of text to text requires OCR (optical character recognition), which needs a 2MB+ library and deserves its own dedicated tool. We're honest about that limit instead of silently running a weak OCR and returning garbage. To test: open your PDF in any viewer and try selecting text with your mouse. If text highlights, this converter will extract it. If the page highlights as one giant image, you need OCR.
PDF Edit vs FreeConvert, PDF2Go, Smallpdf, pdftotext.com
| Feature | PDF Edit | FreeConvert | PDF2Go | Smallpdf | pdftotext.com |
|---|---|---|---|---|---|
| Files uploaded to a server? | No — 100% local | Yes | Yes | Yes | Yes |
| Multi-file batch? | Unlimited | 1 at a time | Paid only | Paid only | 1 at a time |
| Output styles? | 3 (Standard / Joined / Numbered) | 1 | 1 | 1 | 1 |
| LLM-ready output? | Yes (Joined) | No | No | No | No |
| Account required? | Never | Free tier limited | Free tier limited | Free tier limited | No |
| Daily file limit? | None | 5 / hour | Size + count caps | 2 / hour | Size cap |
| Watermark on output? | No | No | No | No | No |
| Works offline after load? | Yes | No | No | No | No |
When your PDFs contain anything you'd rather not publish — drafts, client briefs, internal memos, research data — the difference between local-only and upload-first is not a convenience feature. It's the whole pitch.
Who Converts PDFs to Text?
Feeding PDFs to ChatGPT / Claude
Every LLM has a text input — not a PDF input. Convert with Joined mode and paste the .txt into your prompt. Tokens stay efficient; the model reads your document without any PDF plumbing in the way.
Research and academic review
Drop 50 journal PDFs at once, convert them all in one batch, and grep / search the text corpus. Much faster than Ctrl+F-ing inside 50 separate PDF viewers.
Quoting and citation
Pull specific passages out of contracts, reports, or papers for use in emails, memos, or articles. Text extraction preserves the exact wording so citations stay accurate.
Data extraction and analysis
Financial statements, lab reports, tabular data — get the text out and feed it into spreadsheets, Python scripts, or data pipelines. Standard mode (with form-feed) cooperates nicely with awk / sed / CSV parsers.
Archiving and search indexing
Turn a document archive into searchable text. Index the .txt files with ripgrep, Lunr, Meilisearch, or any full-text search engine. PDF-native search is slow; text search is instant.
Accessibility and screen readers
Clean .txt files are the most accessible format — every screen reader speaks them natively, no PDF engine quirks. Great for sharing content with visually-impaired readers or audiences who prefer voice interfaces.
PDF to Text on Any Device
Our PDF to text converter works on any device with a modern browser — Windows, Mac, Linux, Chromebook, iPad, iPhone, and Android. No software to install, no plugins needed, no admin rights required. Once the page has loaded, you can disconnect from the internet and continue extracting — everything runs locally.
How Does Browser-Based PDF to Text Extraction Work?
Your PDF is parsed page by page inside your browser. Every text item is sorted into reading order (top-to-bottom, left-to-right, respecting columns when possible) and serialised as UTF-8 plain text. Page breaks are inserted as form-feed characters (Standard mode), removed entirely (Joined mode), or replaced with --- Page N --- headers (Numbered mode). No server involved at any step — your PDF stays in device memory the whole time.
Frequently Asked Questions
How do I convert a PDF to text for free?
Drop your PDF(s) on the page above, pick an output style, click Convert to Text. Each PDF becomes its own .txt file downloaded locally.
Which output style is best for ChatGPT / Claude / LLMs?
Joined. It strips page breaks (which waste tokens) and produces clean flowing text the model can read as natural paragraphs.
Is my PDF uploaded to a server?
No. Extraction runs entirely in your browser. Your PDF never touches our servers — we don't have any for your files.
Can I convert a scanned PDF to text?
Not with this tool. We extract the text layer embedded in the PDF. Scans (images of text with no text layer) need OCR, which is a separate library and deserves its own tool. To test: try selecting text in your PDF viewer — if text highlights, we'll extract it; if the page highlights as one image, you need OCR.
Can I convert multiple PDFs at once?
Yes. Drop as many as you want. Each becomes its own .txt file on the ready screen — no ZIPs, no archives, just individual downloads.
Does the text preserve layout?
Roughly yes — reading order, line breaks, and column structure are preserved when the PDF has a proper text layer. Complex layouts (two-column magazines, heavy tables) sometimes interleave oddly. For perfect layout fidelity use /pdf-to-word.html instead.
Is there a file size limit?
No artificial limit. Text extraction is cheap — even a 2GB PDF with tens of thousands of pages usually finishes in under a minute on a modern laptop.
Does the .txt have a watermark or attribution?
No. Only the text from your PDF, nothing added. No headers, no footer links, no "converted with…" line.
Do I need an account?
No. No signup, no email, no captcha, no credit card.
Does it work offline?
Yes, once the page has loaded. Everything runs in your browser — disconnect and keep extracting.