ChatGPT: Document and Image Information Extraction

Why Attend

Organisations manage increasing volumes of information contained in documents, scanned records, photographs, tables, forms, invoices, contracts, reports, and other visual materials. Extracting useful information from these sources is essential for operational efficiency, regulatory compliance, financial accuracy, customer service, and informed decision-making.

Traditional document processing often relies on manual data entry, repetitive review, and rule-based extraction systems. These approaches can be time-consuming, costly, and vulnerable to human error, particularly when information is distributed across different document formats, complex layouts, or inconsistent templates.

Advances in generative artificial intelligence and multimodal language models have introduced new opportunities to interpret document content, analyse images, identify relevant information, and convert unstructured material into organised, usable data.

ChatGPT can assist professionals with extracting text, identifying key fields, interpreting tables, classifying documents, comparing information, and preparing structured outputs. When combined with appropriate validation procedures and workflow controls, these capabilities can significantly improve information processing and reduce repetitive administrative work.

However, AI-assisted information extraction also introduces challenges involving recognition accuracy, document quality, ambiguous layouts, missing information, data privacy, and the reliability of generated results. Successful implementation requires clear extraction instructions, suitable document preparation, structured output formats, and effective quality assurance.

The ChatGPT: Document and Image Information Extraction course provides participants with practical skills for using ChatGPT to analyse documents and visual information, extract relevant data, and develop reliable information processing workflows.

Through hands-on exercises and realistic business scenarios, participants learn to design extraction prompts, process different document types, validate extracted information, organise results, and identify opportunities for responsible automation.

Professional Problems This Course Is Designed to Solve

• Time-consuming manual information extraction: Using ChatGPT to identify and organise relevant information from documents, forms, reports, and images more efficiently.

• Inconsistent document formats and layouts: Developing adaptable extraction instructions for structured, semi-structured, and unstructured information sources.

• Errors in extracted business information: Establishing verification procedures to identify omissions, incorrect values, misinterpreted content, and unsupported AI-generated information.

• Difficulty converting documents into usable datasets: Transforming extracted information into tables, standardised fields, JSON structures, and spreadsheet-ready formats.

• Limited ability to analyse visual information: Applying multimodal AI techniques to interpret photographs, charts, diagrams, scanned documents, and image-based records.

• Fragmented document processing workflows: Designing repeatable processes for document classification, extraction, validation, consolidation, and reporting.

• Privacy and compliance concerns: Applying appropriate safeguards when processing confidential, personal, financial, or commercially sensitive information.

Course Methodology

The programme combines instructor-led discussions, live ChatGPT demonstrations, practical document analysis exercises, image interpretation workshops, structured data extraction activities, and information validation case studies.

Participants work with illustrative business materials, including invoices, purchase orders, contracts, application forms, financial reports, scanned records, tables, charts, and photographs.

Hands-on activities focus on developing effective extraction prompts, identifying document fields, interpreting visual layouts, standardising extracted information, and verifying results against original source materials.

The programme also introduces workflow automation concepts, structured outputs, and integration opportunities while emphasising human oversight, data protection, and the limitations of AI-assisted document interpretation.

Course Objectives

By the end of this course, participants will be able to:

• Explain how ChatGPT can support document and image information extraction

• Distinguish structured, semi-structured, and unstructured information sources

• Identify suitable document types and business use cases for AI-assisted extraction

• Develop effective prompts for extracting specific fields and information

• Analyse documents containing text, tables, charts, and mixed visual content

• Apply ChatGPT to interpret images and scanned business records

• Convert extracted information into standardised tables and structured formats

• Classify documents and identify relevant information across multiple records

• Detect extraction errors, missing information, and inconsistent results

• Establish validation and quality assurance procedures for extracted data

• Understand privacy, confidentiality, and responsible AI considerations

• Design practical document and image information extraction workflows

Target Audience

This course is suitable for:

• Administrative and office management professionals

• Document control and records management specialists

• Business analysts and process improvement professionals

• Finance and accounting professionals

• Procurement and supply chain professionals

• Human resources and recruitment specialists

• Compliance and internal audit professionals

• Data analysts and information management specialists

• Digital transformation and automation professionals

• Customer service and business operations managers

Target Competencies

Participants will develop competencies in:

• AI-assisted document analysis

• Multimodal image interpretation

• Information extraction prompt engineering

• Document classification and field identification

• Table and form data extraction

• Structured data formatting and standardisation

• Extraction accuracy assessment

• Data validation and quality assurance

• Document workflow design and automation

• Responsible AI and information security practices