ChatGPT: Document and Image Information Extraction
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ChatGPT: Document and Image Information Extraction

Digital Innovation and Transformation 0 live dates
No scheduled sessions found Contact us Get up to 50% Discount for Group Participants.
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Seminar content

What you will learn

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

Benefits

Why attend this seminar

  • Build current, practical knowledge in digital innovation and transformation.
  • Translate the course ideas into actions you can use immediately at work.
  • Review real schedule options across 15 venues and live dates.
  • Connect course detail, venue, and category routes in one workflow.

Methodology

How the course is delivered

  • Structured seminar input and guided discussion.
  • Applied examples using current business situations.
  • Focused explanations based on the stored overview and outline.
  • Clear next steps for implementation after the course.

Target audience

Who this is for

  • Professionals responsible for digital innovation and transformation.
  • Managers, specialists, and team leads who need applied skills.
  • Participants looking for a focused route into ChatGPT: Document and Image Information Extraction.

Seminar details

Detailed outline

Day 1: Foundations of AI-Assisted Document and Image Information Extraction

  • 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

Day 2: Prompt Engineering for Accurate Document Data Extraction

  • 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

Day 3: Image Interpretation, Scanned Documents and Visual Information Analysis

  • 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

Day 4: Document Classification, Data Validation and Extraction Workflow Design

  • 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

Day 5: Responsible AI, Quality Assurance and Enterprise Implementation

  • 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

Available seminar dates

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Course certificate

Certificate awarded on completion

Every participant who completes this seminar receives a professional course certificate from INFORAMTECH.

  • Participants receive an INFORAMTECH certificate for completing ChatGPT: Document and Image Information Extraction.
  • The certificate recognises attendance and successful participation in the seminar.
  • It can support professional development records within digital innovation and transformation and related functions.
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Information about

Frequently asked questions

When is my seat confirmed?

Your seat is confirmed once full payment has been received.

Do you offer group discounts?

Yes, we offer the following discounts for group bookings:

  • 2 participants: 20% discount
  • 3 participants: 35% discount
  • 5 or more participants: 50% discount
Can discounts be combined with other offers?

No, discounts cannot be combined unless explicitly stated.

What payment methods do you accept?

We accept bank transfers, credit/debit cards, and selected online payment methods.

When do I need to pay?

Full payment must be completed before the course start date to secure your participation.

Is VAT included in the course fee?

VAT treatment depends on your location and status:

  • EU Companies (with valid VAT number): VAT may be reverse charged (0%)
  • EU Individuals (without VAT number): VAT is applicable based on local regulations
  • Non-EU Participants: VAT is generally not applicable (0%)
Can I get a VAT invoice?

Yes, all participants receive an official invoice. EU companies must provide a valid VAT number.

Can I cancel my registration?

Yes, cancellations must be submitted in writing.

What is your refund policy?
  • More than 14 days before the course: Full refund
  • 7-14 days before the course: 50% refund
  • Less than 7 days before the course: No refund
Can I transfer my seat to another person?

Yes, substitutions are allowed at no extra cost if requested before the course start date.

What happens if the course is postponed or canceled?

We reserve the right to reschedule or cancel a course due to unforeseen circumstances. In such cases, you may:

  • Transfer to another date
  • Receive full refund
Will I receive a certificate?

Yes, all participants will receive a certificate of completion after attending the course.

Is attendance mandatory?

Yes, full attendance is required to receive certification.

Are your courses online or in-person?

We offer both in-person and virtual (live online) training options.

Will course materials be provided?

Yes, all participants receive training materials in digital format.

Are travel and accommodation included?

No, participants are responsible for their own travel and accommodation unless otherwise stated.

Can you deliver customized or in-house training?

Yes, we offer tailored training programs based on your organization's needs.

How can I contact you for support?

You can reach us via email info@informatech.uk or through our contact form. Our team will respond promptly.

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