Is OCR PDF really free?

Yes — no account, no paywall, no watermark added to the result.

Does my file get uploaded anywhere?

No. OCR PDF runs entirely in your browser using pdf-lib/pdf.js — your file is never sent to a server.

What is OCR PDF actually doing?

It runs Tesseract.js — a WebAssembly build of the open-source Tesseract OCR engine — entirely in your browser to recognize the text in each page's image, then either builds a new PDF with that text placed invisibly over the original page image (so it looks the same but becomes selectable/searchable) or gives you the recognized text as a plain .txt file.

Which languages are supported?

English, Spanish, French, German, Portuguese, Italian, Dutch, Hindi, Arabic, Chinese (Simplified), Russian, and Japanese. Pick the language the document is actually written in for accurate results — running English OCR on a Hindi document (or vice versa) produces garbled text.

Why does the first run take longer than later ones?

The OCR engine and the selected language's data (a few megabytes) are downloaded once when you first run OCR PDF. Your browser caches them, so switching pages or running it again with the same language skips that download.

Does this work on a PDF that already has selectable text?

It can, but it's the wrong tool for that case — PDF to Text extracts the existing text instantly and exactly. OCR PDF is meant for scanned pages or photographed documents that are just an image, with no real text underneath yet.

Will the searchable PDF look different from my scan?

No — the original page image is kept exactly as it was; the recognized text is placed on top but rendered fully transparent, so nothing changes visually. You (and search/Ctrl+F) can still select and search the text, but the page looks like an unaltered scan.

What if OCR misreads some words?

OCR accuracy depends on scan quality — a clean, high-resolution, straight scan reads far more reliably than a blurry or skewed photo. It won't be 100% perfect on messy input, same as any OCR engine, but a decent scan typically recognizes cleanly.

Can it read handwriting?

Not reliably — Tesseract (like most OCR engines) is built and trained for printed text. Handwritten notes may partially recognize but shouldn't be relied on.

How long does a large PDF take?

Recognition runs page by page in your browser, so it scales roughly linearly with page count — a 5-page document finishes in well under a minute; a 100-page document takes proportionally longer, since it's your device doing the work, not a server.

Is my document uploaded anywhere for OCR?

No — the OCR engine itself runs as WebAssembly inside your browser tab. The only network requests are one-time downloads of the engine and language files from a public CDN; your actual PDF and everything recognized from it never leaves your device.

What's the difference between the two output options?

Searchable PDF keeps the original look of every page and adds an invisible, selectable text layer — the best choice if you still need the document to look like a scan. Plain text (.txt) discards the images entirely and gives you just the recognized words — smaller and simpler if all you need is the text itself.

How to OCR a PDF and Make It Searchable

Recognize text in scanned or photographed PDFs, then download a searchable PDF or plain text — run locally in your browser.

OCR PDF runs recognition in your browser to make scanned pages searchable, with language and output choices for a text layer you can actually find with Ctrl+F.

OCR PDF runs locally in your browser on TechDriven Tools. Inputs stay on your device — nothing is uploaded for this step.

When OCR PDF is the right tool

Search a phone-scanned contract

Run OCR with the correct language so names become findable.

Reuse text from a whiteboard photo PDF

Recognize and export text instead of retyping.

Prepare archives for Ctrl+F

Convert image-only pages into a searchable PDF you keep offline.

How to run OCR PDF on TechDriven Tools

Open OCR PDF.
Set the options that matter — Configure: OCR language, output format (searchable PDF / text), run recognition locally.
Run and verify the output — Download or copy the result, then spot-check before you replace originals or share externally.

Read every label before running. For OCR PDF, the controls that change outcomes most are: OCR language, output format (searchable PDF / text), run recognition locally. Change one control at a time when you are comparing results.

Privacy on this workflow

OCR PDF is built to process locally in your browser so sensitive PDFs, images, or text do not need to be uploaded to an unknown server just to finish this job.

Mistakes that waste time with OCR PDF

Wrong language pack — Recognition quality collapses if language does not match the page.
Expecting perfect tables — OCR is for search/text reuse, not flawless spreadsheet reconstruction.
Skipping unlock on encrypted scans — OCR cannot read locked files.

Getting reliable results from OCR PDF

Most failures with OCR PDF are input/setting issues rather than mysterious bugs: wrong units, wrong page lists, wrong language, or expecting one tool to do a sibling’s job. Re-read the option names, fix the input, and re-run — local tools make iteration cheap.

OCR PDF accelerates the workflow; it does not replace your judgment or professional advice where required.

Related tools

PDF to Text — Pull out the raw text content as a .txt file.
PDF to JPG — Export every page as a high-res image.
Compress PDF — Shrink with Low/Med/High presets and before/after size.

FAQ

Languages?

Pick the language that matches the page before running.

Searchable PDF output?

Yes when that output option is selected.

Upload?

Recognition runs locally after any engine assets download.

Perfect accuracy?

Depends on scan quality and language match.

Bottom line

Use OCR PDF when you need this specific job done privately and quickly. Respect what it is not (see mistakes), verify outputs, and chain related tools only when the next step truly differs.

Open OCR PDF when you are ready to run the job.

If you arrived from search looking for OCR PDF, bookmark the tool page itself after this guide — the article exists to teach options and pitfalls, not to replace the working UI.

When something looks wrong in OCR PDF, reproduce with a tiny sample input first. Smaller fixtures debug faster than a 200-page scan or a 2MB JSON blob.

Share feedback with teammates as option recipes (“Quality 72%, bottom-center numbers, Start at 1”) rather than screenshots alone — recipes transfer cleanly.

For OCR PDF, bookmark /ocr-pdf after you learn the option names in this guide — the article teaches; the tool page is for daily use.

If OCR PDF output looks wrong, reproduce with a tiny sample first. Smaller fixtures debug faster than a production-sized input.

Name downloads from OCR PDF with date + purpose the moment they arrive so you do not forward yesterday’s draft by mistake.

OCR PDF sits in the Convert group on TechDriven Tools. If the next step differs, switch tools instead of stretching OCR PDF past what it owns.

OCR PDF tip 1: verify labels on the live form, change one control, then re-run. Local processing makes that iteration cheap.

OCR PDF tip 2: verify labels on the live form, change one control, then re-run. Local processing makes that iteration cheap.

OCR PDF tip 3: verify labels on the live form, change one control, then re-run. Local processing makes that iteration cheap.

OCR PDF tip 4: verify labels on the live form, change one control, then re-run. Local processing makes that iteration cheap.

OCR PDF tip 5: verify labels on the live form, change one control, then re-run. Local processing makes that iteration cheap.

Ready to try it? Use OCR PDF free, right in your browser — no upload, no account.