Step 1: Upload your file
Drag and drop a scanned or image-based PDF, or upload one from your computer. The tool identifies where OCR needs to run on its own, so there's nothing to configure beforehand.
Drag and drop a scanned or image-based PDF, or upload one from your computer. The tool identifies where OCR needs to run on its own, so there's nothing to configure beforehand.
Advanced recognition scans every page and builds a text layer beneath the original image, without altering how the page looks.
Once processing finishes, download the new file. Text can now be selected, searched, and copied, ready to share or archive.
Recognizes and converts text from scanned images into editable, searchable PDFs across a wide range of languages, including English, Spanish, and Chinese. Sophisticated algorithms handle fonts, layouts, and even handwriting to keep extraction accurate.
The processed file gets a text overlay applied directly onto the original image, preserving source quality while making the document searchable, or easy to copy and paste into another file.
Upload multiple PDFs and OCR all of them at once, useful for large collections such as archived books or historical records. Detection settings can be customized per file for the best result across different kinds of documents.
Automatically switches languages between pages within mixed-language content, ensuring accurate extraction across multilingual documents without manual intervention.
Processing runs on high-end servers, so results come back in just seconds even for complicated or large files.
Adjust accuracy settings on the fly to set a preferred balance between speed and precision, with or without standard text appearance modes, depending on how sharp and clean the source document needs to look.
Files are encrypted end-to-end during upload and processing, then wiped from the servers once OCR completes, keeping sensitive scans private from start to finish.
OCR results stay tidy and high-quality, with minimal inaccuracies, closely matching the original document's layout and fonts. Output quality holds up for business or professional use.
Cutting-edge AI finds text in pictures even when it's angled or distorted, removing background noise so difficult scans still come out accurately recognized.
Auto-preview makes OCR approachable for first-time users, walking through the process with an easy step-by-step guide for turning images into text.
Scales without delay whether you're OCR'ing a single short note or a large volume of documents, thanks to cloud-first optimization built for both light and heavy use.
Wanting "editable text" out of a scan can mean a few different things, and each points to a different tool.
OCR PDF (this tool) keeps the file as a PDF and adds a hidden, searchable text layer beneath the original image. The document still looks exactly like a scan, but the text inside it can now be selected, searched, and copied. This is the right choice when you want to keep the original page layout and appearance intact.
PDF to Text strips a document down to plain, unformatted text with no layout, images, or styling retained. Use PDF to Text when the goal is just the words themselves, for example feeding content into another program, not preserving how the page looked.
PDF to Word goes a step further than OCR by converting the recognized content into a fully editable Word document, with formatting rebuilt so it can be edited directly. Use PDF to Word when the end goal is editing the document's content in a word processor, not just being able to search or copy from it.
A quick way to decide: want to keep the PDF as a PDF but make it searchable, use OCR. Want raw text with nothing else, convert to text. Want to actually edit the content and layout, convert to Word.
A few habits noticeably improve OCR results, especially on older or lower-quality scans.
● If a scan came in sideways or upside down, run it through Rotate PDF Pages first. OCR accuracy drops sharply on misoriented text, so correcting the angle before recognition avoids garbled results.
● Higher-resolution scans produce more accurate text recognition than low-resolution ones, particularly for documents with small print or dense tables.
● If a document mixes photos or diagrams with text you want to keep as visuals rather than searchable text, Extract PDF Images can pull those out separately, so OCR isn't wasted trying to read content that was never meant to be text.
● OCR'd files can end up larger than the original scan, since the text layer adds to the file. If size becomes an issue for sharing, Compress PDF afterward keeps the searchable text intact while trimming the file down.
Turn old scanned invoices or contracts into searchable PDFs for quick keyword searching. That makes for faster audits or references, sparing hours that would be lost to manual searches in paper-like files.
Students can OCR their scans of textbooks so they can edit notes as needed (and copy/paste into essays or highlight). This transforms static images into interactive study aids for enhanced learning.
Attorneys can then employ OCR to scan case files to perform text searches of the documents. This makes finding evidence fast and increases the efficiency in preparations or reviews.
Historians can even OCR ancient manuscripts or letters to make digital, searchable versions. This preserves content and, at the same time, allows keyword searches for studies or publications.
OCR accuracy depends heavily on what the recognition engine has to work with in the first place.
Matter more than most people expect. Clean, standard fonts on a well-printed page recognize far more reliably than decorative fonts, faint toner, or low-contrast printing, since the engine is essentially pattern-matching shapes to letters.
The processed file gets a text overlay applied directly onto the original image, preserving source quality while making the document searchable, or easy to copy and paste into another file.
works, but with more variability than printed text, since handwriting styles vary enormously from one person to the next. Clear, consistent handwriting recognizes noticeably better than rushed or highly stylized writing.
from old photocopies, coffee stains, or scanner dust can be misread as characters, particularly on older archived documents. Detection tools built to filter out this kind of noise generally improve results, but a heavily degraded original will always be harder to recognize accurately than a clean one.
are harder to recognize correctly than plain paragraph text, since the engine has to infer reading order across a grid rather than following a single line of text. Complex multi-column layouts, like some newspapers or forms, are more prone to jumbled output than a straightforward single-column page.
Yes, completely free with no hidden charges, and no limit on file size or number of pages.
Highly secure. Uploads use top-level encryption, and files are removed from the servers after processing, with no permanent storage.
It supports more than 100 languages, including English, French, Japanese, and Arabic.
No. OCR only adds a text layer without altering the visual layout or quality. Images stay the same, while the underlying text becomes searchable and editable.
Its main strength is scanned or image-only PDFs, but it also cleans up text within hybrid files that mix images and existing text. Upload any PDF, and it identifies on its own where OCR is actually needed.
Upload your scanned PDF above and hit convert to make it searchable in seconds.
● Confirm the shared "...or drop images here" upload component is fixed site-wide; this is now the seventh page flagging the same issue.
● Feed this page into the ad-messaging decision; it's now roughly a 50/50 split across pages reviewed on whether ads are mentioned.
● Note this page's file-retention wording as supporting evidence when resolving the Extract PDF Pages contradiction flagged earlier.
● Confirm target URL matches the live slug exactly: https://pdf24.ai/ocr-pdf (no /en/ prefix).
● Verify all internal links resolve: /pdf-to-text, /pdf-to-word, /rotate-pdf, /extract-images-from-pdf, /compress-pdf, /merge-pdf.
● Confirm the General Questions About PDF24 block is removed from this page and replaced with a single link to /documentation.
● Confirm FAQPage structured data reflects only the five tool-specific FAQ entries, not the removed general block.
● Verify the Rewritten Page Copy section (body copy only) is 1,300+ words: isolate that section to plain text and run wc -w on it directly, separate from the full-document count.
● Confirm internal links read as naturally embedded in sentences rather than clustered in a single list, per the current instruction.
● Proofread for em dashes (should be none) and confirm tone matches approved style (no fluff, no AI-sounding phrasing).