Detect image-only pages
PDFBright analyzes whether useful extractable text already exists before recommending OCR.
Searchable PDF OCR
If Ctrl+F finds nothing and text cannot be selected, the PDF may contain page images instead of useful text. PDFBright can identify supported image-only pages and add searchable text with OCR where it is actually needed.
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Built around the actual document
A mixed PDF can contain normal text pages and scanned image pages together. PDFBright diagnoses that difference first so native text is not needlessly treated like a scan.
PDFBright analyzes whether useful extractable text already exists before recommending OCR.
Supported scan pages can receive an OCR text layer so words become searchable and selectable.
OCR is intended to add machine-readable text without re-typesetting the page into a different-looking document.
Pages that already contain useful text do not need to be recognized again just because other pages are scans.
If the same document is crooked, sideways, oversized, or contains blank scanner pages, those findings can be handled in the same workflow.
PDFBright checks the rebuilt PDF before presenting the final download instead of treating OCR completion alone as success.
How PDFBright handles it
The important first step is not OCR itself. It is determining which pages actually need recognition and keeping the rest of the document intact.
PDFBright inspects page structure and text presence to find pages that appear image-only or scan-backed.
The diagnosis explains which pages need searchable text and can surface other scan problems at the same time.
Supported target pages are recognized, searchable text is added, and the rebuilt PDF is checked before download.
Why Ctrl+F can fail
A scanner or phone camera often stores each page primarily as an image. Your eyes can read the letters, but the PDF viewer may only see pixels, so search, selection, and copy-and-paste do not work normally.
OCR, or optical character recognition, analyzes those page images and reconstructs text that software can search. Recognition quality depends on the scan, so important names, numbers, or legal text should still be checked when exact transcription matters.
PDFBright treats OCR as one repair inside a broader scanned-document cleanup flow rather than forcing every uploaded page through recognition.
Faint print, unusual fonts, handwriting, low-resolution scans, skew, shadows, and unsupported scripts can reduce recognition accuracy. PDFBright should not imply that OCR output is automatically exact enough for high-stakes transcription.
Document privacy
The current local workflow processes supported cleanup in your browser. There is no active document-processing API receiving uploaded PDFs today.
Related scanned PDF fixes
These pages explain distinct problems people run into with scanned PDFs. They all lead into the same diagnose-first workflow rather than a maze of disconnected tools.
Diagnose several scan problems and fix the ones that apply in one workflow.
Open guide →Detect crooked scanned pages and apply conservative deskewing where it is safe.
Open guide →Find likely scanner blanks, review them, and remove only the pages you approve.
Open guide →Reduce unnecessary scan weight while protecting ordinary document readability.
Open guide →Apply conservative readability cleanup to supported scan pages that need it.
Open guide →FAQ
The visible page may be stored as an image without a useful text layer. In that case a PDF viewer has little or no machine-readable text to search.
PDFBright's searchable-text workflow is designed to preserve the visible scan while adding machine-readable text to supported pages rather than rebuilding the layout from scratch.
No. A PDF can mix native-text and image-only pages. PDFBright diagnoses text presence first and targets supported pages that need recognition.
No. OCR quality depends on scan clarity, resolution, language, orientation, typography, and other page conditions. Important recognized text should be checked when exact wording matters.
Upload it to PDFBright. The diagnosis can identify which supported pages need OCR before cleanup begins.
Clean a PDFCurrent V1 limits: supported PDFs up to 25 MB and 25 pages.