# docling

- Page: https://shared.btbytes.com/p/docling
- Date: 2025-09-14

[Docling: The Document Alchemist](https://towardsdatascience.com/docling-the-document-alchemist/)  from Towards Data Science. Has a good code tutorial on how to use Docling to extract text, tables, and using OCR to extract hard to extract content.

[IBM Granite-Docling: End-to-end document understanding](https://www.ibm.com/new/announcements/granite-docling-end-to-end-document-conversion)

See also: [GitHub - bytedance/Dolphin: The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.](https://github.com/bytedance/Dolphin)

This dataset was developed using docling: [HuggingFaceFW/finepdfs · Datasets at Hugging Face](https://huggingface.co/datasets/HuggingFaceFW/finepdfs)

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[Docling + Go + Bob: The Modern Document Stack](https://alain-airom.medium.com/docling-go-bob-the-modern-document-stack-b99c490f5483)

> desktop application engineered in **Go** that brings the power of IBM’s **Docling** service directly the users’ fingertips. Built with the sleek **Fyne framework**, this application transforms the complex task of document conversion into an intuitive, point-and-click experience.
where [IBM Bob](https://www.ibm.com/products/bob) is a AI chatbot for code IDEs.
