Course details
Course details
Course language and bilingual support
The official course materials and detailed programme are provided in English. Subject to trainer availability, explanations, discussions and practical exercises may also be delivered bilingually in English and the selected local language.
Seminar content
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.
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.
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.
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
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
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
Seminar details
Understanding information extraction and its role in business operations, document management, financial processing, compliance, and digital transformation
Exploring ChatGPT's multimodal capabilities for interpreting text, images, documents, tables, and mixed-format information
Distinguishing structured, semi-structured, and unstructured documents and identifying suitable extraction approaches for each category
Understanding the differences between optical character recognition, document parsing, visual interpretation, and AI-assisted semantic extraction
Identifying practical limitations involving document resolution, handwriting, complex layouts, ambiguous information, and AI-generated inaccuracies
Practical workshop: Analysing different document and image types and developing initial extraction instructions for common business information
Developing structured extraction prompts that specify required fields, document context, output formats, and validation expectations
Applying field-based extraction techniques to invoices, purchase orders, contracts, application forms, receipts, and business correspondence
Extracting information from tables, financial statements, schedules, and documents containing multiple sections or repeated records
Designing prompts that distinguish missing information, uncertain values, conflicting entries, and information explicitly supported by source documents
Converting extracted information into standardised tables, CSV-ready structures, and JSON formats suitable for further processing
Hands-on exercise: Developing a reusable document extraction prompt library for financial, administrative, procurement, and operational records
Understanding how multimodal AI interprets photographs, scanned records, screenshots, charts, diagrams, and image-based business information
Applying ChatGPT to extract relevant information from photographed forms, identification fields in authorised workflows, labels, and operational records
Interpreting charts, graphs, and visual reports while recognising limitations in numerical precision and visual ambiguity
Managing challenges involving low-resolution images, skewed documents, incomplete scans, handwritten annotations, and complex page layouts
Combining visual information with textual instructions to improve contextual interpretation and extraction consistency
Practical workshop: Extracting and validating information from scanned documents, business photographs, charts, and mixed visual materials
Applying AI-assisted document classification to identify document categories, content types, processing priorities, and relevant extraction templates
Designing workflows for processing multiple documents, consolidating extracted records, identifying duplicates, and organising information
Establishing data validation procedures covering completeness, consistency, formatting, numerical reconciliation, and source-document verification
Developing exception-handling methods for missing fields, conflicting information, uncertain interpretations, and documents requiring manual review
Exploring structured output validation, spreadsheet integration, and API-based automation concepts for repeatable extraction processes
Case study: Designing a document processing workflow that classifies business records, extracts selected fields, validates results, and prepares structured information for downstream systems
Establishing information extraction quality indicators, including field-level accuracy, completeness, processing time, exception rates, and manual review requirements
Understanding confidentiality, personal data protection, access controls, document retention, and organisational information security policies
Evaluating risks associated with hallucinations, incorrect extraction, prompt injection within documents, sensitive information exposure, and inappropriate automated decisions
Designing human-in-the-loop review procedures, audit trails, approval checkpoints, and continuous improvement mechanisms
Developing an implementation roadmap covering use case selection, document preparation, prompt standardisation, pilot testing, integration, and performance monitoring
Capstone exercise: Developing and presenting a Comprehensive AI-Assisted Document and Image Extraction Solution incorporating document classification, extraction prompts, structured outputs, data validation, exception handling, privacy safeguards, and an implementation plan
Dates and locations
Course certificate
Every participant who completes this seminar receives a professional course certificate from INFORMATECH.
Information about
Your seat is confirmed once full payment has been received.
Yes, we offer the following discounts for group bookings:
No, discounts cannot be combined unless explicitly stated.
We accept bank transfers, credit/debit cards, and selected online payment methods.
Full payment must be completed before the course start date to secure your participation.
VAT treatment depends on your location and status:
Yes, all participants receive an official invoice. EU companies must provide a valid VAT number.
Yes, cancellations must be submitted in writing.
Yes, substitutions are allowed at no extra cost if requested before the course start date.
We reserve the right to reschedule or cancel a course due to unforeseen circumstances. In such cases, you may:
Yes, all participants will receive a certificate of completion after attending the course.
Yes, full attendance is required to receive certification.
We offer both in-person and virtual (live online) training options.
Yes, all participants receive training materials in digital format.
No, participants are responsible for their own travel and accommodation unless otherwise stated.
Yes, we offer tailored training programmes based on your organisation's needs.
You can reach us via email at info@informatech.co.uk or through our contact form. Our team will respond promptly.
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