About this tool
Check whether a PDF appears searchable or likely scanned before OCR, archiving, indexing, upload, document review, or client delivery.
PDF Searchable Text Checker inspects visible text-layer and OCR-readiness hints before a PDF is indexed, archived, uploaded, submitted, or sent for review. It reads the selected file locally in the browser and checks text objects, text show operators, font hints, image objects, readable sample text, page count, and encryption signals.
- Reads the selected PDF locally and checks visible text objects, text show operators, font hints, image objects, sample text, and encryption signals.
- Classifies the file as Searchable, Review, or Likely scanned so users can decide whether OCR is worth running.
- Does not upload the PDF, run OCR, extract every page, or guarantee that all text is searchable.
How to use PDF Text Checker
Choose a PDF and review whether the file is classified as Searchable, Review, or Likely scanned. Use the text-object, image, font, and sample-text counts to decide whether to run OCR, export a searchable PDF, or simply verify the document in a PDF viewer.
When this tool is useful
- Before archiving invoices, contracts, reports, forms, transcripts, scans, receipts, or case documents.
- Before uploading PDFs to document management, legal, finance, education, healthcare, support, or compliance systems.
- Before deciding whether to run OCR on a scan, recreate a PDF, or request a searchable copy from another team.
Practical tips
- Try selecting and searching text in a trusted viewer after this check, especially for important records.
- Run OCR when a file has many images and no visible text-layer hints.
- Review representative pages after OCR because recognition errors can affect names, numbers, dates, and legal references.
Examples you can test
These examples show the kind of real input and reviewed output this tool is designed to support. Use them as a starting point before pasting your own production content, then compare the output with the destination system that will use the result. The goal is not only to produce a value, but to make the input assumptions, output format, and review step clear enough that the result can be trusted in a real workflow.
Check a scan before OCR
Example input
Scanned-contract.pdf with many image objects and no visible text operators
Expected output
Classifies the PDF as Likely scanned and recommends OCR before indexing or delivery.
The checker does not run OCR; it identifies whether OCR is probably worth running.
Review a mixed PDF before archiving
Example input
Packet.pdf with font hints, some readable samples, and many image pages
Expected output
Labels the PDF as Review so representative pages can be tested in a viewer before archiving.
Mixed PDFs can contain both searchable pages and image-only pages, so a sample check is important.
Validation checklist
Run through these checks before copying the result into a CMS, codebase, spreadsheet, campaign, support ticket, or production document. Small formatting differences, unit assumptions, hidden whitespace, and platform-specific rules are common sources of mistakes in quick browser tools, so the final review should happen in the same context where the output will be used.
- Try search and text selection on representative pages in a trusted PDF viewer.
- Run OCR when scanned pages need search, copy, indexing, or accessibility workflows.
- Review OCR output for recognition errors in names, dates, totals, IDs, and legal references.
- Keep the original scan and the searchable copy when records, compliance, or audits matter.
Why people use this tool
Scanned PDFs often look normal but fail when users search, copy text, index documents, archive records, or submit files to workflows that expect searchable content. A local OCR precheck helps users avoid unnecessary OCR when a text layer exists and catch image-only scans before delivery.
Related search intents
pdf searchable text checker, check if pdf is searchable, scanned pdf checker, pdf ocr checker, pdf text layer checker.