OCR a Scanned PDF Privately, in Your Browser
Extract text from scanned and image-only PDFs without uploading a single byte. The OCR engine runs on your device. Free, no signup, no page limits.
How to Extract Text from a Scanned PDF
A scanned PDF is really just a stack of photographs. You can read it, but you can't search it, copy from it, or paste a paragraph into an email. OCR (optical character recognition) fixes that by reading the pixels and turning them back into text. Here, the whole process happens inside your browser, so the scan itself is never sent anywhere.
- Open the OCR PDF tool and drop your file, or click Choose a PDF.
- Pick the document language. English is the default; Spanish, French, German, Portuguese, and Italian are also available. Matching the language to your scan makes a big difference in accuracy.
- Enter a page range like 1-3,5, or leave it blank to process every page.
- Click Run OCR. The first run downloads the language model (about 15 MB) once from a CDN; after that it's cached and the tool works without re-downloading.
- Copy the extracted text to your clipboard, download it as .txt, or save it as an editable .docx file.
One honest note: this tool extracts the recognized text from your scan and can package it as text or Word. It does not yet write an invisible text layer back into the PDF to make the PDF file itself searchable. If you need editable words, not a searchable PDF, you're in the right place.
Why Local OCR Is the Strongest Privacy Case on This Site
Think about what people actually OCR: passports and driver's licenses, medical records, signed contracts, tax forms, old bank statements. These are some of the most sensitive documents a person owns, and the typical OCR website asks you to upload them to a server you know nothing about. Most of our tools protect documents that are merely private. OCR protects documents that can be used against you.
GoPDFConverter takes a different approach. The Tesseract OCR engine, the same open-source engine Google has maintained for years, is compiled to WebAssembly and runs directly on your device. Each page of your PDF is rendered to an image in your browser's memory, recognized there, and discarded. The only thing fetched over the network is the language model itself, a one-time download of roughly 15 MB that your browser caches. Your scan, and every image rendered from it, stays on your machine from start to finish.
The trade-off is speed. A cloud OCR farm with dedicated GPUs will beat your laptop. Expect about 2 to 10 seconds per page depending on your hardware. For a stack of sensitive pages, that's a fair price for never handing them to a stranger.
Common OCR Use Cases
- Digitize family papers: turn scans of old letters, recipes, and journals into text you can search and preserve.
- Quote from a scanned book: extract a passage from a photographed or scanned page instead of retyping it.
- Process invoices: pull amounts, dates, and reference numbers out of faxed or scanned invoices without manual entry.
- Make screenshots quotable: a screenshot saved into a PDF becomes copyable text in seconds.
- Revive legacy archives: convert decades-old scanned reports into text you can actually work with.
Tips for Better OCR Accuracy
OCR quality depends almost entirely on the quality of the scan you feed it. A few habits make the difference between near-perfect text and a cleanup job:
- Straighten your scans. Skewed or rotated pages confuse character recognition. Use our Rotate PDF tool first if pages are sideways.
- Scan at 200 DPI or higher. 300 DPI is the sweet spot for printed text. Below 150 DPI, letters lose the detail the engine needs.
- Aim for good contrast. Dark text on a clean white background works best. Faded ink, colored paper, and shadows from phone photos all hurt accuracy.
- Pick the right language. Running a Spanish document through the English model will mangle accented characters.
- Proofread the output. Even good OCR makes occasional mistakes, especially with numbers, names, and unusual fonts.