pdf-processing

You can extract tables from PDFs into CSV or JSON formats using layout-aware parsing. The tool pulls tabular data directly from diverse document layouts, converting unstructured PDF content into reusable structured formats for databases.

Yes, you can merge or split PDF files for batch processing workflows. The tool assembles documents by combining multiple PDFs or dividing them, streamlining batch document handling and form assembly operations.

Yes, pdfplumber supports optional OCR for extracting text from scanned PDFs. This allows the tool to read and convert scanned document content into plain text or Markdown when standard text extraction fails.

You can fill AcroForm fields in a PDF automatically by pointing the tool at the PDF path. It handles form filling by populating interactive fields directly within the document for batch workflow automation.

The best way to extract metadata from PDFs is using dedicated extraction workflows that capture author, creation date, page count, and other properties. This captured metadata prepares documents for archival or indexing purposes.

PDF text extraction returns unstructured data when documents contain complex layouts or scanned images. Using layout-aware table parsing or enabling optional OCR converts the content into structured plain text or Markdown formats.