PDF to Text Converter (Free — Extract Text from PDF Online)

Free tool to convert a PDF file to text right in your browser. Nothing is uploaded — extract text from PDF pages instantly, then copy the result or save it as a .txt file.

What is PDF text extraction?

PDF text extraction means pulling the characters embedded inside a PDF file out as ordinary text you can copy, paste, and search — rather than leaving them locked inside a fixed-layout document. It comes in handy when you have received a contract, a paper, or a report as a PDF and just want the body text for a note or another document, or when you want to drop it into a translation tool or an AI chat to get a summary.

This tool reads the coordinate data that a PDF stores for every character, works out where lines and words break, and reassembles everything into plain text. The whole process runs on your own device, so nothing about the file's contents is ever sent to a server. The catch is that it only works on PDFs that were built with real text data from the start — files exported from Word, PowerPoint, or a web page, for example. A PDF that is really just a scanned image of a paper document has no text data to read, so no text can be pulled out of it.

How to extract text from a PDF

  1. Choose a PDF Drag and drop a file into the box, or click to select one.
  2. Extraction starts automatically As soon as the file is selected, text is pulled out page by page in order.
  3. Review the result The full text of every page appears together in the text box below.
  4. Copy or save it Use "Copy text" to send it to your clipboard, or "Download as .txt" to save it as a file.

Tips for getting more out of it

  • Where line breaks land in the result can be thrown off by the original PDF's layout — multi-column text or tables in particular. In a two-column document, meaning can jump around mid-line, so it is worth skimming the output before you rely on it.
  • A PDF that is just a scan of a paper document has no text data behind it, so this tool cannot extract anything from it. You will need a separate tool with OCR (optical character recognition) support for that.
  • Formatting such as headings and bold text is not preserved — you get the words, not the styling. If you need the formatting to survive too, look for a document-conversion tool instead.
  • If you want to narrow down or reorder the pages before extracting text, it is more efficient to do that first in the PDF page organizer.
  • Going the other way — turning PDF pages into images — is handled by the PDF to image converter.

When PDF text extraction helps

Quoting a passage from a paper or report

Text inside a PDF viewer can be awkward to select cleanly. Once it is converted to plain text, you can copy just the paragraph you need for a citation.

Feeding a document into a translation tool or AI chat

Tools that cannot read a PDF directly can still work with plain text, so you can paste the extracted text in for a summary or translation.

Searching a contract for a specific clause

Save the result as a .txt file and your text editor's search feature will find any keyword or clause in seconds.

Moving an old PDF's content into a new document

Older files that were built from real text — not a scan — can have their body text carried straight over into a new document format.

Terms related to PDF text extraction

Text-based PDF
A PDF exported from a program like Word or PowerPoint, where every character is stored as coordinate data. This is the only kind of PDF this tool can read text from.
Image-based (scanned) PDF
A PDF created by scanning or photographing a paper document. It looks like text on screen, but the file itself is really just a picture with no character data behind it, so this tool cannot extract anything from it.
OCR (optical character recognition)
Technology that recognizes the shapes of characters inside an image and converts them into text data. Pulling text out of an image-based PDF requires OCR.
Plain text
Character data with no formatting at all — no color, weight, or font information attached. This is the format this tool outputs.
.txt file
A plain-text file with a ".txt" extension. It opens in virtually any operating system or app, which makes it a good general-purpose way to save text.

Frequently asked questions

No — it is never uploaded at all. Reading the PDF and extracting its text both happen entirely inside your browser, so the file's contents never travel over the network.

No. A scanned document looks like text on screen, but as data it is really just a single image with none of the character-position information this tool relies on. You would need a separate tool with OCR (optical character recognition) support for that kind of PDF.

A PDF is really just a collection of coordinates saying "put this character here" — it does not have the clear paragraph structure that a format like Word does. In documents with tables or multiple columns, the order the text was drawn in can differ from the order a person would naturally read it.

A PDF that requires a password to open cannot be read by this tool. Please remove the password from the file first.

This tool handles one file at a time. To work through several PDFs, choose a new file each time and repeat the process.
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Side Note — How "text" is actually stored inside a PDF

A PDF displays crisp, legible text the moment you open it, which makes it easy to assume the file has a "document" — paragraphs and all — stored inside it somewhere. It doesn't. Underneath, a PDF carries forward the ideas of PostScript, the printing-industry language that came before it, and describes its contents as an endless sequence of drawing instructions: place this character, from this font, at this exact position on the page. There is no concept of a paragraph, or even a line — only the coordinates of individual characters, one after another.

What this tool actually does is take that pile of coordinates and work backward to reconstruct the order the text was meant to be read in. It treats characters sitting at roughly the same height (the same y-coordinate) as belonging to one line, decides where each line ends, and stitches the pieces back together into readable plain text. That guesswork holds up well for a simple, single-column page. But for something like a two-column magazine article — which looks perfectly natural to a human eye but has a far more tangled coordinate order underneath — the reconstruction can go wrong, and meaning can jump around partway through a line.

Understanding this also explains a question a lot of people run into on their own: why copying and pasting from a PDF so often comes out garbled. Unlike a Word document or a web page, which are built around explicit structure — paragraphs, headings, tables — a PDF format was really only ever designed to reproduce how a page looks. Any attempt to recover meaning from the raw positions of its characters is, by nature, an educated guess added after the fact. Keep that in mind and give the extracted text a quick read-through before you put it to use.