Word Document Parser for Multiple Choice Questions (MCQs) with Text + Images (PHP) need Web Development

Contact person: Word Document Parser for Multiple Choice Questions (MCQs) with Text + Images (PHP)

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Location: Manama, Bahrain

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"Project Description:

We need a developer to create a Word document parser in PHP that extracts Multiple Choice Questions (MCQs) from a .docx file and displays them on a PHP page for user validation before submission.

Requirements:

Input: Word (.docx) file containing MCQs.

Questions may include text and/or images.

Options (A, B, C, D, etc.) may include text and/or images.

Each question may include a solution/explanation (text and/or images).

Output:

A PHP page that displays:

Question text + images

Options (A, B, C, D, …)

Correct Answer(s)

Solution / Explanation

Displayed in a clean, structured format so the user can review and validate.

A Submit button at the bottom (I will handle saving to the database myself).

Scenarios to Handle:

Question formats: 1., Q1:, Question 1 –

Options formats: A., a), i)

Answers: Answer: A, Ans: Option A, Correct Answer = C

Solutions: Solution:, Explanation:, Sol.

Technology Stack:

PHP (mandatory)

Use PHPWord (or another reliable PHP library) to parse .docx

Extract images and display them inline with questions/options/solutions

Deliverables:

PHP script that:

Accepts a .docx file upload

Parses and extracts questions, options, answers, and solutions (text + images)

Displays them on a webpage for user validation

Code should be clean, well-commented, and extensible.

Example Workflow:

User uploads .docx file.

Parser extracts MCQs (text + images).

Displayed neatly on a PHP page.

User reviews → clicks Submit (saving logic will be handled separately).

Ideal Freelancer:

Strong experience in PHP

Familiar with Word document parsing in PHP (e.g., PHPWord)

Experience handling embedded images in Word docs

Detail-oriented to handle different formatting scenarios

Timeline:
1 week" (client-provided description)


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