What is QualCoder?

QualCoder is a Python-based QDA tool that allows users to code and analyse textual, visual, and multimedia data. It supports hierarchical coding, memo writing, and AI-enhanced features for advanced analysis. It is cross-platform and compatible with Windows, macOS, and Linux.

How Does QualCoder Work?

1. Data Import: Load text files (e.g., .txt, .docx, .pdf), images, audio, or video into the project.
2. Coding: Assign codes to segments of text, images, or multimedia files to identify themes or patterns.
3. Analysis: Generate reports on coding frequencies, coder comparisons (e.g., Cohen’s Kappa), and visual graphs of coding hierarchies.
4. AI Integration: Use AI models like GPT-4 for advanced text exploration and analysis.

Why Use QualCoder?

• Free & Open Source: No cost or subscription required.
• Cross-Platform: Runs on Windows, macOS, and Linux.
• Versatile Data Support: Handles text, images, audio, and video.
• AI Features: Offers optional AI tools for deeper analysis.
• Customizable: Users can modify AI prompts or integrate their own models.

Key Features

Data Management

• Import multiple file types (e.g., .txt, .docx, .pdf, .jpg, .mp4).
• Organise data into projects for streamlined analysis.

Coding

• Hierarchical coding structure for organising themes.
• Code multimedia files with VLC integration for audio/video playback.