To extract text from a scanned document, run optical character recognition (OCR) on the scan. OCR reads the characters in each page image and creates a machine-readable text layer, so you can search, highlight, copy and, in some workflows, export the text to an editable file. In Acrobat desktop, the standard path is All tools > Scan & OCR > In this file, followed by choosing the pages and recognition language and selecting Recognize Text.
First test whether OCR is actually needed: open the PDF and try to select a word. If you can highlight and copy normal text, the file already has a usable text layer. If each page behaves like one picture, OCR is the step that makes the content searchable.
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What OCR adds to a scanned document
A scan is usually a set of page images. OCR analyzes those images, identifies letter and number shapes, and records the results as machine-readable text. In a searchable PDF, the original page image can remain visible while an invisible or nearly invisible text layer sits over it. That layer enables search, selection, copying and accessibility features without replacing the appearance of the scan.
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- Searchable PDF: the page keeps its original visual appearance and gains selectable, searchable text.
- Separate editable text: recognized content is exported to a text-processing format so you can revise, reflow or reuse it elsewhere.
Choose the output before you start. A legal record that must look exactly like the original generally needs an image-preserving searchable PDF. A form you intend to rewrite may be better served by exported text, with careful proofreading.
Adobe explains the distinction in its PDF Services API documentation: one output can clean or deskew the page image, while another preserves the original image exactly underneath the text layer. See Adobe’s OCR API tutorial for those output options.
Check the file before running OCR
Confirm whether a text layer already exists
- Open the PDF in your viewer.
- Drag across a sentence with the text-selection tool.
- Copy the selection and paste it into a plain-text editor.
If individual characters select and paste as readable words, OCR is probably unnecessary. If the whole page selects as one image, or nothing selects at all, treat it as an image-only PDF. A PDF can also contain a mixture of image-only and text pages, so test several representative pages.
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Make a copy of the scan before recognition or editing. Adobe’s desktop guidance recommends keeping a backup so you can return to the original image if a later OCR pass, cleanup operation or correction damages the file. Store the copy separately and give the working file a clear name, such as archive_1948_ocr.pdf.
Decide what must remain visually exact
Write down whether the page image is the authoritative record. This matters for signed forms, seals, annotations, stamps, archival pages and evidence. If visual fidelity is essential, preserve the original image and add OCR as a separate, searchable layer. If the primary goal is analysis or reuse, an exported text file may be convenient, but it should remain traceable to the page image.
Extract text from one scanned PDF in Acrobat desktop
These steps follow Adobe’s current Acrobat desktop instructions, last updated September 23, 2025.
- Open the working copy. Check that the pages are upright and that the document is not still being downloaded or password-locked.
- Open the OCR tool. Select All tools > Scan & OCR > In this file.
- Set the page range. Choose all pages or specify a range. For a mixed document, run OCR only on pages that lack selectable text.
- Choose the recognition language. Select the language that matches the printed content. For multilingual pages, use the closest supported language combination or process language groups separately when the application allows it.
- Review the available settings. If the scan is crooked, noisy or photographed, use image-cleanup or straightening options where offered. These improve the input image; they do not guarantee perfect recognition.
- Run recognition. Select Recognize Text. Acrobat analyzes the page images and adds a searchable text layer.
- Save as a new file. Keep the untouched scan and save the recognized version under a different filename.
The result should look like the original pages while allowing you to search and select words. If you need a separate editable document, use Acrobat’s export tools after recognition, then proofread the exported file against the page images.
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Adobe’s complete procedure and current interface labels are in Recognize text in scanned PDFs with Acrobat.
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Run OCR on many PDFs at once
For a folder of scans, processing files individually is slow and makes naming mistakes more likely. Acrobat documents a multi-file workflow:
- Choose All tools > Scan & OCR > In multiple files.
- Add the PDFs you want to process. Keep unrelated documents out of the same batch so you can verify the results consistently.
- Choose the output folder.
- Set filename behavior so the original files are not overwritten unless that is intentional.
- Start the batch and wait for Acrobat to create searchable versions in the selected folder.
- Open a sample from the beginning, middle and end of the batch and perform the verification checks described below.
Adobe’s “Paper to PDF” tutorial also points to Action Wizard for automating repeated operations in Acrobat desktop. The exact commands available depend on the Acrobat edition and current interface. The tutorial is at Adobe Experience League’s Paper to PDF guide.
Set up a batch that can be audited
Keep the input folder separate from the output folder and retain the original filenames in a tracking list. Note the recognition language and any cleanup settings used. After the batch finishes, sample files from different page counts, scanners and image conditions rather than checking only the first result. If a systematic error appears, stop the batch, adjust the settings and rerun the affected group instead of manually correcting every file.
Use browser-based OCR for a quick conversion
When installing desktop software is not practical, Adobe provides an online OCR workflow for PDFs. Open Adobe Acrobat’s online OCR page, select or drag in the PDF, allow the service to process it, and sign in when prompted to download the resulting searchable PDF.
The online page describes different handling for other image formats, including JPG, PNG and TIFF. Check the current product path for the particular format you have rather than assuming that the PDF steps apply unchanged.
Understand the data-handling consequence
Browser OCR requires an upload. Adobe states that its online tool processes uploaded files on Adobe servers and deletes the file unless you sign in to save it. Do not upload confidential contracts, medical records, identity documents or other regulated material unless your organization’s policy and applicable privacy rules permit that service. A local desktop workflow keeps processing on your computer and may be the safer choice for sensitive scans, although your organization should still confirm its own security requirements.
Choose the output that matches your goal
| Goal | Recommended output | What to check |
|---|---|---|
| Find words inside an archive | Searchable PDF with the original page image retained | Search results land on the correct page and text can be selected |
| Copy a quotation or a few fields | Searchable PDF, then copy selected text | Names, dates, numbers and punctuation match the image |
| Rewrite or reformat the document | Export recognized text to an editable format | Paragraph order, columns, tables and line breaks are usable |
| Preserve an evidentiary or archival appearance | Exact image preservation under a text layer | Page image remains unchanged and OCR is treated as an aid, not the visual original |
| Improve legibility before recognition | Cleaned or deskewed output | Cleanup has not removed marks, seals or marginal information that matters |
Improve recognition before you run it
OCR cannot recover information that is absent from the image. Give it the clearest input available:
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- Clean obvious defects: reduce background noise, shadows and speckles when the tool provides those controls.
- Use the correct language: recognition dictionaries and character rules differ by language. A wrong language can turn familiar words into plausible-looking errors.
- Keep resolution adequate: very small characters, faint type and compressed images are harder to distinguish.
- Separate difficult pages: pages with handwriting, stamps, unusual fonts or mixed languages may need different settings or manual transcription.
Adobe identifies poor image quality, unusual fonts and handwriting as factors that can reduce recognition quality. Tables, multi-column layouts, marginal notes and faded type also deserve extra scrutiny. The available documentation does not establish a comparative accuracy percentage for these cases, so do not treat an OCR confidence display, if present, as a substitute for review.
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Do not over-clean an archival page
Image cleanup can improve character recognition, but aggressive contrast, cropping or speckle removal may erase a faint stamp, pencil mark or edge note. For records work, keep the exact scan untouched and create a cleaned working copy. Compare the cleaned page with the original before accepting it as the visual record.
Verify the OCR result before relying on it
Adobe explicitly advises reviewing OCR output and correcting errors manually or rerunning recognition with adjusted settings. Use a repeatable check:
- Search a known word. Pick a distinctive name or heading visible on the page. Confirm that search finds the expected page.
- Select and copy a passage. Paste it into a plain-text editor to expose missing spaces, substituted characters and accidental line breaks.
- Compare critical data visually. Check every name, date, amount, account number, address, measurement and citation against the page image.
- Inspect layout-sensitive content. Verify that table columns have not been read in the wrong order and that headers, footnotes, stamps and handwritten additions are represented correctly.
- Correct or rerun. Fix isolated errors manually. If errors are systematic, adjust the language or image settings and run OCR again rather than correcting every line by hand.
- Record the relationship between files. Keep the original scan, the OCR PDF and any edited export so another person can tell which version is authoritative.
For legal, financial, medical, identity or archival documents, require a human review before the extracted text enters a decision, database or published record. OCR is a recognition aid; it is not proof that every character was read correctly.
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A quick acceptance checklist
- Every page that needed OCR has a selectable text layer.
- A distinctive heading or name is searchable on each sampled page.
- Copied text contains sensible spaces and does not omit lines.
- Numbers, dates, names and symbols have been checked against the image.
- Columns, tables, footnotes and marginal material have been reviewed for reading order.
- The original scan and the recognized copy are stored separately.
This checklist is useful for a single document and for batch sampling. It does not replace a full line-by-line review when the text will control a legal, medical, financial or identity decision.
Troubleshoot common OCR failures
Nothing becomes selectable
Confirm that recognition finished and that you saved the processed file rather than reopening the untouched backup. Run OCR on a small page range first. If the file is protected or opened in a viewer with limited editing rights, create an authorized working copy and try again.
Words are present but badly misspelled
Check the recognition language, then inspect the scan at high zoom. Faint contrast, blur, compression artifacts and unusual typefaces can make similar characters indistinguishable. Improve the image, rerun OCR and compare the new output with the page. Do not silently “correct” uncertain names or numbers; verify them against the image.
Columns or tables are scrambled
OCR may read across columns or flatten a table into a sequence of lines. Test a representative page before processing a large batch. For a few critical tables, manually rebuild the structure in a spreadsheet or editor while using the OCR text only as a starting point.
Handwriting or marginal notes are missing
Handwritten material is specifically identified as difficult for recognition. Treat the printed OCR layer as incomplete, inspect every handwritten area and transcribe important notes manually. Keep the image visible so the transcription can be audited.
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Several languages appear on one page
Use a recognition setting that supports the languages involved when available. If mixed-language recognition remains unreliable, process homogeneous page groups separately and compare proper nouns and accented characters against the scan.
The browser workflow is blocked by privacy rules
Use a local desktop workflow approved by your organization, or ask an administrator for an approved OCR service. Do not bypass a policy by uploading a sensitive document to a personal account.
The exported document has unexpected line breaks
Remember that a searchable PDF and an editable export serve different purposes. OCR may preserve visual placement rather than produce clean paragraphs, especially with columns, forms or tables. Use the searchable PDF for faithful page reference and treat an export as a draft that needs layout correction.
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| Situation | Best fit | Reason |
|---|---|---|
| One or a few scans, sensitive content | Desktop OCR | Local processing and direct control over page range, language and saved files |
| Many PDFs already stored in a folder | Multi-file OCR or Action Wizard | Batch processing reduces repetitive work and standardizes output locations |
| Occasional, non-sensitive PDF and no desktop installation | Browser OCR | Upload, process and download without installing an application |
| Recurring ingestion in an application | PDF Services API | Code can submit files, choose output behavior and integrate results into a larger workflow |
Adobe’s PDF Services API tutorial documents sample OCR workflows in Java, .NET and Node.js, while its API documentation includes Python and REST examples. The API is a developer option, not a requirement for ordinary document conversion. Review the tutorial at Using Adobe PDF Services API to OCR PDF Files before designing an integration.
Questions readers often ask
How do I know whether a PDF is scanned?
Try selecting and copying a sentence. If characters select individually and paste as readable words, the PDF already has text. If a page selects as one picture or nothing selects, it is likely image-only. Test more than one page because a single PDF can mix text and scanned pages.
Will OCR change the appearance of my document?
A searchable-PDF workflow can keep the original page image visible and place recognized text over it. If you choose a cleaned or deskewed output, the page image may be altered. Preserve an untouched original when appearance matters.
Can OCR read handwriting?
Handwriting is one of the factors Adobe identifies as reducing recognition quality. Inspect handwritten areas manually and transcribe important notes rather than assuming that a printed-text OCR pass captured them.
Can I OCR only selected pages?
Yes. Acrobat’s desktop workflow lets you choose a page range. This is useful for mixed PDFs where some pages already contain text or where only a few image pages need recognition.
Do I need to export text after OCR?
No. If your goal is search or copy, a searchable PDF may be sufficient. Export to an editable format only when you need to revise, reflow or reuse the recognized content, and then check paragraph order, tables and line breaks.
Is browser OCR suitable for confidential files?
Browser OCR uploads the file to a service. Adobe says its online tool processes uploads on Adobe servers and deletes the file unless you sign in to save it. Follow your organization’s privacy rules; use an approved local workflow for sensitive material when required.
What the available evidence can—and cannot—tell you about tool choice
The procedures above are documented Acrobat workflows. They do not establish which OCR provider is best overall, which service performs best on handwriting or historical print, or a comparative privacy ranking. If your collection contains unusual scripts, poor microfilm, complex tables or large volumes, run a representative sample through the tools your organization permits and have a subject-matter reviewer score the output before committing to a production process.
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For routine scans, the practical decision is straightforward: use desktop OCR when control and confidentiality matter, batch tools when volume matters, browser OCR for an occasional permitted upload, and an API when OCR is part of a repeatable software pipeline. In every case, preserve the original and verify the recognized text before treating it as authoritative.
Frequently Asked Questions
How do I extract text from a scanned PDF for free?
Use an OCR feature available in your approved desktop or browser tool. For Adobe’s online workflow, select or drag in the PDF, let processing finish, then sign in to download the searchable PDF. Check privacy requirements before uploading any sensitive file.
Why can I search some pages but not others?
The PDF may combine native-text pages with image-only scans. Test representative pages and run OCR only on the pages that do not allow normal text selection.
What is the safest OCR format for an original record?
Keep the untouched scan as the authoritative image and create a searchable PDF with the original page preserved underneath the OCR text layer. Store any editable export separately.
How accurate is OCR on tables and handwriting?
Accuracy depends on the image and layout. Adobe identifies poor image quality, unusual fonts and handwriting as problems; columns, tables, stamps and marginal notes also require careful visual checking. No universal accuracy percentage is established here.
Can I process a folder of PDFs at once?
Yes. Acrobat documents All tools > Scan & OCR > In multiple files, with an output folder and filename settings. Action Wizard can automate repeated operations in supported Acrobat desktop editions.
When should a developer use an OCR API?
Use an API when OCR is part of a recurring application workflow. Adobe documents sample integrations in Java, .NET and Node.js, with Python and REST examples in its API documentation. Ordinary one-off conversion does not require an API.
The Bottom Line
Start by testing whether the PDF already has selectable text, then preserve the original scan. For one document, use All tools > Scan & OCR > In this file, choose the page range and language, and select Recognize Text. Use multi-file OCR for batches, browser OCR only for permitted uploads, and an API for recurring software ingestion. Whatever workflow you choose, verify names, dates, amounts, tables and other critical content against the page image before relying on the extracted text.
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