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Prepare the source and define the result
Identify the dominant script and split ranges when sections use different languages. A focused model is often faster and less ambiguous than recognizing every language.
Set acceptance criteria before processing: expected pages or records, languages, critical fields and destination format.
Use a reviewable OCR workflow
Review proper names, identifiers and similar glyphs beside the source. For right-to-left text, check paragraph direction and reading order independently.
Keep recognition evidence beside the source. Confidence prioritizes review but does not guarantee a word or number.
Verify before using the output
Search words in each script and copy a mixed-language line into the destination application. Record the language profile when repeatability matters.
Keep the original until the reviewed derivative is accepted. Valid structure does not prove semantic accuracy.
- Automatic detection can confuse short labels and names.
- Correct characters can still appear in the wrong reading order.
Put the workflow into practice
Arrange source documents, select the pages you need, and create one PDF locally in your browser. Review the result before choosing any optional next step.
Try Make PDF SearchableFrequently asked questions
Clear answers before you merge
Is Make PDF Searchable always exact?
No. Accuracy depends on source quality, language, layout and review.
Should I keep the original?
Yes. Keep it until the reviewed output is accepted.
What improves OCR accuracy?
Sharp upright input, correct language selection, restrained cleanup and focused review.
How should I verify the result?
Reopen it, test its intended function and compare critical content with the source.
