Frequently Asked Questions

Docling is an open-source document AI library created by the Deep Search team at IBM Research (DS4SD). It specializes in parsing complex visual documents like PDFs, DOCX, and images into structured Markdown, LaTeX, and JSON by understanding document geometry, reading order, and table hierarchy.

Yes! SheetParser.com serves as the premier online Web UI for Docling OCR. You can drag and drop your PDFs directly in any modern browser without needing Python, PyTorch, or CUDA drivers.

TableFormer is IBM's state-of-the-art deep learning model designed for table structure recognition. It predicts cell bounding boxes, spanning headers, and column alignments based on visual coordinates, making it exceptionally reliable on borderless tables where traditional OCR tools fail.

Mathpix is a closed-source paid service ($9.99/month) primarily tailored for small equation snips. Docling is an open-source foundation model that handles entire multi-page documents, multi-column reading flow, and financial tables. On SheetParser, you get free daily conversions without subscription lock-in.

Yes. When processing scanned PDFs or raster images (PNG, JPEG, TIFF), Docling leverages integrated visual OCR engines (such as EasyOCR or Tesseract) combined with its layout segmentation model to recognize both text and visual structure.

Docling supports over 80 languages through its OCR backends, including English, Spanish, German, French, Chinese, Japanese, Korean, Arabic, and multilingual documents.

You can upload your PDF to SheetParser.com (the online Docling web UI). SheetParser runs TableFormer on the document and provides a 1-Click [Copy for Excel (TSV)] button. You can then paste directly into Excel or Google Sheets with zero merged columns.

Yes. Docling automatically detects mathematical formula regions and outputs clean, standard LaTeX syntax ($...$ for inline formulas and $$...$$ for display blocks), ready for Obsidian, Notion, or Overleaf.

Yes, the Docling library is released under the MIT open-source license. SheetParser provides a free daily tier for web users who prefer an instant, zero-install cloud experience.

No. SheetParser and Docling follow strict privacy and security principles. Documents are processed ephemerally in memory on serverless workers and deleted immediately after conversion. We never train AI models on user data.

Visit SheetParser.com/tools/paper-to-markdown, paste your arXiv PDF, and Docling will segment the two-column layout and render the extracted paper with live KaTeX math preview.

Marker is another popular open-source PDF converter by VikParuchuri. While Marker is great for books, IBM Docling provides superior table extraction via TableFormer and has a permissive MIT license compared to Marker's GPL license.