ocr-and-documents

To extract text and tables from PDFs, attach your document or provide a URL. The tool prioritizes web extraction for online sources and uses local parsing or OCR for local files to output markdown, metadata, and tables.

Yes, PDF extraction supports table capture from reports and invoices. It uses local parsing and marker-pdf tooling to identify and extract tables alongside text, images, and metadata into editable markdown formats.

The best way to digitize scanned documents is using OCR to convert them into searchable, editable text. This applies to scanned archives, images, and image-heavy PDFs, yielding markdown output with captured metadata.

Yes, you can extract metadata and specific page ranges from local PDFs. The tooling uses lightweight parsing and marker-pdf to isolate page ranges, capture images, and output structured markdown with metadata.

Use web extraction when a document is available online via a remote URL, and use local parsing or OCR for local files, scanned documents, and image-heavy PDFs that need document conversion into markdown.

Lightweight PDF parsing cannot read text embedded in images, so it fails on scanned archives. You must use OCR tooling to accurately extract text from image-heavy or scanned document files.