Split PDF based on text content. Extract text by page ranges into separate TXT files. 100% private and free.
Select a PDF to extract text from
A genuinely private way to pull text out of a PDF, page by page, without uploading a single byte to a server.
We have all been there. A 90-page PDF lands in your inbox — a contract, a research paper, a scanned report — and you only need the words from a handful of pages in the middle. The first instinct is to open the file, drag the mouse across the paragraphs, copy, and paste into a notes app or a Word document. It works, until it really doesn't. Formatting collapses, page breaks vanish, footnotes get stranded mid-sentence, and half the time the selection quietly grabs a caption you never wanted. And if the PDF happens to be a flat scan, there are no real words to copy at all — just a picture of words pretending to be text.
That everyday frustration is exactly what this tool exists to dissolve. Instead of wrestling with copy-paste, you point it at the pages you actually care about and let it hand you back clean, plain text you can genuinely use.
The phrase sounds technical, but the underlying idea is refreshingly simple. A PDF is a container of pages. Splitting by text means: read the text living on each page, let you choose which pages — or which ranges of pages — you want, and then save that text out as its own file. Pick pages 1 to 10, get one text file. Pick pages 11 to 25, get another. Pick three separate ranges, get three separate files bundled together.
Think of it like running a highlighter across a printed book, except instead of marking paper you are carving out the exact passages you need and dropping them into a separate, tidy document. Nothing else in the original moves or changes.
Here is the part that surprises people: everything happens inside your own browser. The moment you drop a PDF into the upload area, the file is read locally using pdf.js, the same open-source engine that powers PDF viewing inside Firefox. Your document is never shipped off to a remote server, never stored, never logged, never peeked at by anyone but you.
For anyone handling sensitive material — legal filings, medical summaries, unpublished manuscripts, internal company reports — that distinction matters enormously. Cloud-based converters politely ask you to trust a stranger with your data. This one simply does not take your data anywhere in the first place.
Using the tool feels less like "running software" and more like a small, predictable ritual:
That is the whole loop. No account, no email address, no waiting in a queue.
Most folks expect a "split" tool to chop a PDF into equal halves. This one is smarter. Because you specify ranges, you can be surgical. Need just the introduction and the conclusion of a 200-page thesis? Two ranges. Want every other chapter of a novel for a class handout? Five or six ranges. Working through a quarterly report where the numbers live on pages 3, 7, and 14? Three tiny ranges, three clean files.
The ability to name and separate ranges means your extracted text arrives already organized the way your brain is already thinking about the document — not as one giant blob you have to re-sort afterward.
The output is deliberately unglamorous, and that is precisely the point. You receive .txt files — the most portable, universally open format in all of computing. You can drop that text into Word, Google Docs, Notion, a translation app, a spreadsheet, a code editor, a screen reader, or a plain email. There is no proprietary wrapper, no locked layout, no "please upgrade to export" pop-up. It is just your words, freed from the page.
And because the files come zipped together, a multi-range job stays in one tidy download instead of scattering a dozen loose files across your desktop.
It is tempting to picture "PDF text extraction" as a niche task, but in practice it shows up everywhere:
The tool does the heavy lifting, but a little intention on your side goes a long way:
There is a softer benefit to doing this locally that is easy to overlook: speed without friction. No upload progress bar crawling at the mercy of your internet connection. No "processing, please wait" spinner spinning on someone else's server. No form demanding your name before it will help you. You open the page, you drop the file, you leave with text. The entire experience respects your time and your privacy in equal measure.
In a web full of tools that quietly monetize your uploads, a converter that refuses to take your data anywhere feels almost old-fashioned — and wonderfully refreshing. It does one job, does it on your device, and gets out of your way.
Reach for "split by text" when your real goal is the words: quoting, searching, translating, summarizing, or reformatting content pulled from a PDF. If instead you need the pages themselves as a fresh PDF, or you want to rearrange, rotate, or compress the document, a different tool in the same toolkit is the better fit (and you will find those linked just below).
But for the everyday, deeply human need to grab the meaning out of a document and carry it somewhere useful, this little extractor earns a permanent spot in your bookmarks.
Documents are supposed to serve us, not the other way around. The next time a PDF stands between you and the single sentence you need, don't wrestle with copy-paste or trust a random website with your file. Split it by text, keep it local, and walk away with exactly the words you came for — clean, searchable, and entirely yours.
See how people use this tool in real situations:
Get the best results with these professional tips:
Always preview the text content of each page before setting up extraction ranges. This ensures you extract the right sections and avoid missing important content.
Use the text preview to search for keywords that mark the beginning or end of sections. This helps you identify exact page numbers for your extraction ranges.
Map out your extraction ranges before starting. Consider overlap pages that contain content belonging to multiple sections to avoid gaps in your extracted text.
For multi-language PDFs, verify that special characters and non-Latin text extract correctly. UTF-8 encoding handles most languages, but some rare fonts may cause issues.
On mobile devices, use the page navigation to preview content and set ranges. The responsive interface adapts well to smaller screens for on-the-go text extraction.
The ZIP archive names files by page range. Rename them descriptively after download for better organization, especially when extracting many sections from a large document.
Common questions about splitting PDF by text.
All files are processed locally in your browser. Nothing is uploaded to any server. Your documents stay on your device. Disconnect from the internet after loading � the tool still works perfectly.