How do I extract text from a scanned PDF for free?

Upload the PDF to Google Drive, right-click it, and select 'Open with → Google Docs'. Google OCRs the entire PDF and creates an editable document. For image-only PDFs, convert each page to a JPG first and upload to imagetotext.click.

Why can't I select text in my PDF?

If you can't select text, your PDF is image-based — meaning it was scanned or created from screenshots rather than digital text. OCR (Optical Character Recognition) must be applied first to make the text selectable and searchable.

What is the best free PDF OCR tool?

Google Drive OCR is the best free option for multi-page scanned PDFs. For single images or pages, imagetotext.click is faster and handles more formats. Adobe Acrobat Reader includes OCR but requires a paid subscription for advanced features.

How do I convert a photo of a document to a searchable PDF?

Upload the photo to imagetotext.click, copy the extracted text, paste it into Google Docs, and download as PDF. Alternatively, Adobe Scan (free mobile app) photographs documents and creates searchable PDFs directly.

Convert Image PDF to Text: Extract Text from Scanned PDFs (2026)

Quick Answer

To extract text from a scanned PDF: upload it to Google Drive → right-click → Open with Google Docs. Google OCRs all pages and makes them editable. For a single scanned page, screenshot or export it as JPG and upload to imagetotext.click. Both methods are free.

Scanned PDFs are genuinely annoying — they look like normal documents, but you can't select, copy, or search any of the text inside. That's because they're really just image files dressed up as PDFs. OCR (Optical Character Recognition) is what converts those images into actual, editable text. Here's what actually works in 2026.

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Why Scanned PDFs Are Different

Here's the difference: a native PDF stores text as real characters that you can highlight and search. A scanned PDF? It's just a photograph of a document wrapped in a PDF container. Your computer sees pixels, not letters. That's why when you click inside a scanned PDF, it selects the whole page instead of individual words. What OCR does is add a text layer on top of those pixels so your computer can finally read them.

Method 1: Google Drive OCR (Free, No Software)

1Upload your scanned PDF to Google Drive (drag and drop or click New → File upload).
2Right-click the PDF in Drive and select 'Open with → Google Docs'.
3Wait 10–30 seconds for Google to process all pages.
4The Google Doc shows the original images at the top, with extracted text below each page.
5Edit, copy, or download the text as needed.

This method handles PDFs up to 2 MB and works best for documents under 20 pages. If you've got a longer PDF, you'll need to split the file first — something like ilovepdf.com works fine for that.

Method 2: imagetotext.click (Best for Single Pages)

For single-page scanned PDFs, honestly, the fastest approach is to just take a screenshot (or export it as a JPG) and upload it to imagetotext.click. The AI pulls out all the text in 3–5 seconds with really high accuracy — even if your document has tables, columns, or weird mixed layouts. I've tested this with all kinds of messy documents and it holds up better than you'd think.

Method 3: Adobe Acrobat (Best Quality, Paid)

Adobe Acrobat Pro's OCR engine is probably the most accurate option for complex multi-column layouts, and it preserves the original PDF formatting. Just open the scanned PDF, go to Tools → Enhance Scans → Recognize Text. But here's the catch: Acrobat Pro isn't cheap. It'll run you about $20/month on subscription. And the free Adobe Acrobat Reader? Doesn't include OCR. Kind of frustrating.

Method 4: Microsoft OneNote (Free, Works Offline)

For individual pages, there's a neat offline trick: print-screen the PDF page, paste the screenshot into OneNote, right-click the image, and select 'Copy Text from Picture'. It's the fastest offline method and works without any internet connection whatsoever. Not many people know about this one.

Improving OCR Accuracy on Scanned PDFs

Scan at 300 DPI minimum — Lower resolution is the top cause of poor OCR accuracy.
Use black ink on white paper — High contrast makes character recognition significantly easier.
Scan straight — Rotated pages reduce accuracy. Most OCR tools can correct small rotations, but severe tilts cause errors.
Remove shadows — Curved pages (like bound books) create shadows that confuse OCR engines.
Pre-process with contrast boost — Increasing contrast in a photo editor before OCR often improves results on faded documents.