OCR a PDF — Extract Text from Scans Privately

Extract text from scanned PDF documents using advanced Optical Character Recognition (OCR).

Extract Text with OCR

Upload PDF and extract searchable text using OCR technology

How to OCR a scanned PDF — 3 steps

  1. 1

    Add your scanned PDF

    Drop the scan into the box above — a photographed contract, an old archive document, a book chapter, a fax.

  2. 2

    Run text recognition

    OCR runs in your browser and reads the text on each page image. Clearer scans give better results, but even phone photos usually recognize well.

  3. 3

    Download searchable text

    Get a PDF you can search and copy from, or extract the recognized text itself to paste anywhere.

Turn scans into documents you can actually use

A scanned PDF is just a stack of photographs — you can read it, but you can't search it, copy a paragraph from it, or find it later by its contents. OCR (optical character recognition) reads the pictures and reconstructs the text, turning a static scan into a document that behaves like it was born digital.

That unlocks the everyday tasks scans block: quoting a clause from a photographed contract without retyping it, making years of archived paperwork searchable, extracting tables from printed reports, or making course readings copy-paste-able for notes. Recognition quality depends mostly on the scan — flat, well-lit, 300-DPI-ish pages recognize nearly perfectly; skewed phone photos still do surprisingly well.

OCR is also where privacy matters most, because the documents people OCR are overwhelmingly the sensitive kind: contracts, IDs, medical records, old letters. Most online OCR services process files on their servers. Here, the recognition engine itself is downloaded into your browser and the reading happens on your device — the scan never goes anywhere.

Your files never leave your device

The OCR engine runs inside your browser, so the contents of your scans are read by your own device — and nothing else.

Most online PDF sites upload your document to their servers, process it there, and keep a copy for minutes, hours, or longer. PilotPDF works differently: the page downloads a small processing engine into your browser, and your file is opened and edited in your device's memory using WebAssembly. Nothing is transmitted, so there is nothing for a server to store, leak, or scan. You can even disconnect from the internet after the page loads and the tool keeps working.

Read more about how this works in our privacy-by-design explainer.

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Frequently Asked Questions

Upload your scanned PDF document. Our tool analyzes the images inside to interpret characters, returning a searchable, editable text format.
Unlike most OCR software which sends your files to external servers, we load local online OCR packages to run entirely on your own CPU for your privacy.
Currently, our models heavily specialize in English characters, but we plan to deploy diverse language packs for international text scanning soon.
OCR works best with clear, crisp document scans containing highly legible text. Fuzzy, poorly lit photos or handwritten text may result in slightly garbled results.
Unfortunately, while machine-printed text is processed perfectly, cursive handwriting analysis requires different predictive models and isn't officially supported.
Since our software leverages local machine processing, times strictly depend on the hardware of your device instead of the speed of our download servers.
Our core focus is extracting straight textual characters into continuous readable copy, so complex visual layouts and columns might lose their intricate alignments.
Our model consistently approaches 98-99% accuracy on a standard dpi scan, but heavily skewed letters or messy pages drastically hinder performance.
We recommend converting document clips beneath 20MB at a time, otherwise parsing can easily crash a typical PC device environment due to RAM limitations.
Yes! We expose the converted raw text in a preview interface that allows you to easily find and fix typographical errors before saving.