Granite-Docling-258M - IBM Open Source Visual Language Modeling

What is Granite-Docling-258M?

Granite-Docling-258M is an ultra-compact open source visual language model from IBM designed for efficient document conversion. The model converts documents into machine-readable formats while preserving layout, tables, formulas, and other elements intact. With only 258M parameters, the model is highly performant, cost-effective, and supports multiple languages (including experimental Arabic, Chinese, and Japanese). The model is formatted in DocTags, which accurately describes the structure of the document and avoids loss of information.Granite-Docling-258M is deeply integrated with the Docling library and can be used within its framework, combining customization features to provide powerful document processing capabilities.

Features of Granite-Docling-258M

• Efficient Document Conversion: Converts documents to machine-readable formats while preserving layout, tables, formulas, lists, and other elements intact, ensuring that the original structure and content of the document is not lost.
• Ultra Compact ModelThe system is a cost-effective solution for use in resource-constrained environments: with only 258M of parameters, it performs as well as systems several times its size.
• Multi-language support: Provide experimental multi-language support, including Arabic, Chinese, and Japanese, with the goal of expanding to more widely-used alphabets and improving applicability on a global scale.
• DocTags format: The DocTags format, developed by IBM Research, accurately describes page elements and their context and location, avoiding the ambiguity and loss of information that would occur if they were converted directly to a common markup language.
• Integration with Docling Library: Supplements the Docling library and supports use within the Docling framework to provide enhanced document conversion capabilities in conjunction with Docling's customization and error handling features.
• Enhanced functionality: Enhanced formula recognition, flexible inference patterns, improved stability, better inline formula recognition and document element Q&A to answer questions about document structure.

Core Benefits of Granite-Docling-258M

• Cost-effective: Granite-Docling-258M achieves efficient document processing in a very small model size, significantly reducing hardware and computing costs.
• Global Universality: Support for multiple languages, the ability to adapt to the needs of different regions of the document processing, expanding the application scenarios.
• Precise structural retention: Unique technology is used to ensure a high degree of consistency in the layout and structure of documents during the conversion process, enhancing document readability.
• Easy to integrate: Seamless integration with Docling libraries simplifies the deployment process and facilitates rapid integration into existing systems.

What is Granite-Docling-258M's official website?

• Project website:: https://www.ibm.com/new/announcements/granite-docling-end-to-end-document-conversion
• HuggingFace Model Library:: https://huggingface.co/collections/ibm-granite/granite-docling-682b8c766a565487bcb3ca00
• Online Experience Demo:: https://huggingface.co/spaces/ibm-granite/granite-docling-258m-demo

People for Granite-Docling-258M

• Document processing department: The need to efficiently and accurately convert paper or electronic documents into machine-readable formats, preserving the original layout and structure, and improving work efficiency and data processing quality.
• R&D Team: Improve product performance and user experience when developing applications that involve document processing.
• Data Analyst: Extract structured data from a large number of documents, perform data analysis and report generation, and improve the efficiency and accuracy of data processing.
• research worker: Quickly convert large volumes of literature into editable formats for further research and analysis when conducting literature reviews, data collection and analysis.
• Libraries and archives: Digitizing large volumes of paper documents while retaining the original format and content allows for better preservation and management.