What is OCR and when do I need it?

OCR (Optical Character Recognition) is the process of converting scanned paper documents, PDF scans, or images into selectable and editable text. You need it when you try to highlight or copy text in a PDF and find that it is actually just a flat picture.

Does PDFMinty's OCR tool support tables and complex formatting?

Yes. The OCR pipeline uses multimodal vision recognition to parse column boundaries and table structures, preserving row alignments as structured Markdown tables rather than collapsing data into raw unformatted text blocks.

Are my scanned files kept private?

Absolutely. PDFMinty handles initial page conversions and layout preparation entirely inside your browser sandbox. Only high-security, secure proxy calls are made to transcribe the pixels, and no data is retained or stored on any server.

OCR PDF Free — Extract Text & Tables from Scanned PDFs

Advanced Multimodal AI Vision OCR for Scanned Documents

Most basic PDF converters fail completely when processing scanned documents because they only read standard selectable text-layers. When pages are composed of flat images, traditional text extraction yields nothing. PDFMinty's OCR tool utilizes advanced Multimodal AI Vision models to transcribe non-selectable, hand-written, or printed texts directly into editable Markdown text sheets. For a full workflow on diagnosing and extracting text from image-only documents, read our extraction guide.

High-Fidelity Document Structure and Table Parsing

Our AI-powered OCR engine doesn't just read words—it understands layout semantics. If your scanned document contains list items, headers, subheadings, or intricate data tables, PDFMinty will automatically convert them into well-structured markdown lists, standard headings, and fully formatted Markdown tables. This saves hours of manual retyping and reformatting.

How to Run AI OCR on Your PDF

Upload your scanned PDF file. The uploader processes files safely.
Select the pages you want to extract text from (supports up to 5 pages per run).
Click 'Extract Text with AI Vision'. The model will analyze and parse characters with extreme accuracy.
Review, edit, copy, or download the final cleanly structured text or markdown file.

Optimizing Scanned Source Quality for Maximum OCR Accuracy

Optical Character Recognition accuracy depends directly on scan sharpness, orientation, and lighting contrast. For maximum character recognition rates, ensure source documents are scanned at 300 DPI in an upright orientation with minimal skew. Deskewing tilted scans and rotating upside-down pages prior to running OCR dramatically eliminates misrecognized characters and table parsing errors.

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