Extract text from scanned documents and images
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Extract text from supported scanned documents and images with OCR. Create editable, searchable text from image-based content for research, document editing, and everyday workflows.
Use OCR - Text Extraction NowOCR, or Optical Character Recognition, converts text that appears inside images or scanned document pages into machine-readable text. This can help when a PDF or image contains text that cannot be selected or copied normally.
OCR is useful for scanned forms, receipts, invoices, notes, screenshots, archived documents, study material, and other image-based content. Recognition quality depends on factors such as image resolution, lighting, skew, handwriting, font style, language, page layout, and the quality of the original scan.
After extraction, review important names, numbers, dates, totals, addresses, and other critical information against the original document. OCR output is best treated as an editable starting point that may require correction, especially for low-quality scans or complex layouts.
Extracting text from scanned documents
Converting receipts and invoices into editable text
Digitizing printed notes and forms
Extracting text from screenshots
Preparing scanned study material for editing
Making archived documents searchable
Capturing text from image-based reports
Reducing manual transcription work
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Choose the available options.
Download the result when it is ready.
OCR stands for Optical Character Recognition. It identifies text within images or scanned document pages and converts it into machine-readable text.
Yes. Supported images can be processed to recognize visible text and produce editable text output.
Yes, when the scanned document is supported by the current OCR workflow. OCR is useful because scanned pages often contain images rather than selectable text.
No OCR system should be assumed to be perfect. Accuracy can vary with scan quality, language, font, layout, image noise, and other document characteristics.
Handwriting can be significantly harder to recognize than clear printed text. Results depend on the handwriting style, image quality, language support, and current OCR capabilities.
Language availability depends on the OCR models and configuration used by the current PDFilio tool. Use the language options shown in the interface.
Yes. Receipts and invoices are common OCR use cases, but important totals, dates, invoice numbers, and amounts should be checked against the original.
OCR can convert recognized image text into machine-readable text. Whether a searchable PDF is created depends on the specific OCR workflow and output format.
Yes. Extracted text can generally be copied into compatible editors for correction and further editing.
Not necessarily. OCR focuses on recognizing text, and complex columns, tables, fonts, spacing, and page layouts may require manual cleanup.
Yes. The browser-based workflow can be accessed from supported phones, tablets, and desktop browsers.
No separate OCR application is required for the browser-based workflow.
PDFilio provides the online OCR tool; current usage limits, account requirements, and availability are determined by the product configuration shown in the tool interface.
Use the tool directly and download your result when it is ready.
Use OCR - Text Extraction