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Hands-on workshop exploring Docling for data wrangling and document extraction. Topics include getting started with Docling, extracting content from PDFs and HTML, handling tables and images, and extracting content from scanned PDFs using OCR.

Hands-on session exploring how to use Docling for data extraction and cleanup across PDFs, HTML, and DOCX. Includes getting started with Docling, extracting content from documents, handling table and image data, and extracting content from scanned PDF documents using OCR.

Hands-on workshop on using Docling to extract and clean data from documents, including PDFs, HTML, and OCR for scanned PDFs. Key activities: getting started with Docling; extracting content from PDFs/HTML; handling table and image data; extracting content from scanned PDFs using OCR.

Overview When building machine learning and data applications, a significant portion of your time will be dedicated to data wrangling - from content extraction and cleaning up data. This session introduces Dockling - a robust, open source tool, designed to handle many types of document formats including PDF, DOCX, HTML and PPTX. Attendees will learn first hand how to use Docling to extract and cleanup data from various documents.

Description Docling is a versatile document processor that handles various file types, including PDF, HTML, and DOCX. It can handle complex document structures like tables, multi-column format etc. It can even extract text from scanned documents. Docling is open source and easy to use.

More about docking: https://github.com/DS4SD/docling

Join us for this hands-on session to explore how to use Docling for your data needs..

In this workshop we will do the following:

• getting started with Docling
• extracting content from various documents (PDF / HTML)
• Handling table and image data
• Extracting content from scanned PDF documents using OCR (Optical Character Recognition)

What do you need to participate in this workshop?

• Comfortable in python programming language
• We will run the workshop code using Google Collab (free) - no other setup is needed!

Session Type Hands-on workshop

Audience LLM app developers, data scientists, data engineers

Technical Level Beginner - Intermediate

Prerequisites

• Comfortable in python programming language
• We will run the workshop using Google Collab (free) - no other setup is needed!

Duration 45 mins

Industry Cross industry

Speaker Bio https://sujee.dev/bio

About the AI Alliance The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.

Overview When building machine learning and data applications, a significant portion of your time will be dedicated to data wrangling - from content extraction and cleaning up data. This session introduces Dockling - a robust, open source tool, designed to handle many types of document formats including PDF, DOCX, HTML and PPTX. Attendees will learn first hand how to use Docling to extract and cleanup data from various documents.

Description Docling is a versatile document processor that handles various file types, including PDF, HTML, and DOCX. It can handle complex document structures like tables, multi-column format etc. It can even extract text from scanned documents. Docling is open source and easy to use.

More about docking: https://github.com/DS4SD/docling

Join us for this hands-on session to explore how to use Docling for your data needs..

In this workshop we will do the following:

• getting started with Docling
• extracting content from various documents (PDF / HTML)
• Handling table and image data
• Extracting content from scanned PDF documents using OCR (Optical Character Recognition)

What do you need to participate in this workshop?

• Comfortable in python programming language
• We will run the workshop code using Google Collab (free) - no other setup is needed!

Session Type Hands-on workshop

Audience LLM app developers, data scientists, data engineers

Technical Level Beginner - Intermediate

Prerequisites

• Comfortable in python programming language
• We will run the workshop using Google Collab (free) - no other setup is needed!

Duration 45 mins

Industry Cross industry

Speaker Bio https://sujee.dev/bio

About the AI Alliance The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.

Overview When building machine learning and data applications, a significant portion of your time will be dedicated to data wrangling - from content extraction and cleaning up data. This session introduces Dockling - a robust, open source tool, designed to handle many types of document formats including PDF, DOCX, HTML and PPTX. Attendees will learn first hand how to use Docling to extract and cleanup data from various documents.

Description Docling is a versatile document processor that handles various file types, including PDF, HTML, and DOCX. It can handle complex document structures like tables, multi-column format etc. It can even extract text from scanned documents. Docling is open source and easy to use.

More about docking: https://github.com/DS4SD/docling

Join us for this hands-on session to explore how to use Docling for your data needs..

In this workshop we will do the following:

• getting started with Docling
• extracting content from various documents (PDF / HTML)
• Handling table and image data
• Extracting content from scanned PDF documents using OCR (Optical Character Recognition)

What do you need to participate in this workshop?

• Comfortable in python programming language
• We will run the workshop code using Google Collab (free) - no other setup is needed!

Session Type Hands-on workshop

Audience LLM app developers, data scientists, data engineers

Technical Level Beginner - Intermediate

Prerequisites

• Comfortable in python programming language
• We will run the workshop using Google Collab (free) - no other setup is needed!

Duration 45 mins

Industry Cross industry

Speaker Bio https://sujee.dev/bio

About the AI Alliance The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.

Overview When building machine learning and data applications, a significant portion of your time will be dedicated to data wrangling - from content extraction and cleaning up data. This session introduces Dockling - a robust, open source tool, designed to handle many types of document formats including PDF, DOCX, HTML and PPTX. Attendees will learn first hand how to use Docling to extract and cleanup data from various documents.

Description Docling is a versatile document processor that handles various file types, including PDF, HTML, and DOCX. It can handle complex document structures like tables, multi-column format etc. It can even extract text from scanned documents. Docling is open source and easy to use.

More about docking: https://github.com/DS4SD/docling

Join us for this hands-on session to explore how to use Docling for your data needs..

In this workshop we will do the following:

• getting started with Docling
• extracting content from various documents (PDF / HTML)
• Handling table and image data
• Extracting content from scanned PDF documents using OCR (Optical Character Recognition)

What do you need to participate in this workshop?

• Comfortable in python programming language
• We will run the workshop code using Google Collab (free) - no other setup is needed!

Session Type Hands-on workshop

Audience LLM app developers, data scientists, data engineers

Technical Level Beginner - Intermediate

Prerequisites

• Comfortable in python programming language
• We will run the workshop using Google Collab (free) - no other setup is needed!

Duration 45 mins

Industry Cross industry

Speaker Bio https://sujee.dev/bio

About the AI Alliance The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.