AI Transcript Viewer: Multi-Platform Conversation Analysis Tool

A comprehensive web application for analyzing and exploring AI conversation transcripts from multiple platforms. This tool provides a sophisticated interface for navigating complex conversations, visualizing AI thinking processes, and analyzing token usage patterns.

Powerful Transcript Analysis for AI Researchers and Developers

The AI Transcript Viewer was developed to address the growing need for sophisticated tools to analyze conversations with large language models. As AI interactions become increasingly complex, researchers, developers, and power users need better ways to explore, search, and analyze these conversations.

This standalone web application works seamlessly with transcript files downloaded from our Claude-ChatGPT Backup Extension, providing a complete ecosystem for capturing and analyzing AI conversations. The viewer offers a rich set of features tailored to different analysis needs, from basic navigation to advanced token counting and thinking process visualization.

By providing a dedicated interface for transcript analysis, this tool enables deeper insights into AI behavior, reasoning patterns, and response characteristics across different models and platforms.

Key Capabilities

The AI Transcript Viewer offers several powerful features for AI conversation analysis:

Multi-Platform Support enables seamless viewing of transcripts from ChatGPT, Claude, and other LLMs with automatic format detection and appropriate rendering.

Three-Message View provides crucial conversation context by showing the previous, current, and next messages together in a single view.

Thinking Process Visualization reveals AI reasoning patterns when available, offering a window into the internal deliberation processes of models like ChatGPT with thinking functionality.

Token Count Analysis generates accurate approximations of token usage by message and conversation, helping researchers understand model resource consumption and optimize prompt efficiency.

Semantic Search allows users to find content based on meaning rather than just keywords, making it easier to locate specific concepts in lengthy conversations.

Message Combination intelligently merges thinking and response messages for models that separate these components, creating a more coherent view of the AI's complete response process.

Star and Export functionality lets users mark important messages and export them as JSON for use in new AI context windows, enabling conversation continuity across sessions.

Practical Applications

The AI Transcript Viewer enables powerful use cases for different user groups:

For AI researchers, the tool facilitates detailed analysis of model behavior, helping identify patterns in reasoning, response characteristics, and failure modes across different prompting strategies.

Prompt engineers can use the token counting and message analysis features to optimize prompts for efficiency and effectiveness, gaining insights into which prompting techniques yield the best results.

Developers working with AI assistants can use the transcript viewer to debug interactions, analyze conversation flows, and extract valuable segments for reuse in development contexts.

Content creators can more easily navigate lengthy brainstorming sessions with AI assistants, finding and extracting the most valuable ideas and suggestions.

Technical Implementation

The viewer is built as a standalone web application using vanilla JavaScript, HTML5, and CSS3 for maximum portability and ease of use. It can be used directly in the browser without installation, or with an optional Node.js-based server for additional features.

Key technical features include:

• Custom tokenization algorithms that approximate token counts for different AI models
• Platform-specific handlers for parsing varied transcript formats
• Keyboard navigation for efficient transcript exploration
• Local-only processing that keeps sensitive conversation data on your device

Power User Features

• Click the star icon (⭐) on messages to mark them for export
• Use the "Copy Starred" button to export selected messages as JSON
• Click on token counts to view detailed token usage statistics
• Use the search function to find specific content in lengthy conversations either Keyword or Semantic
• Stores bookmarks and semantic vector indexes in localStorage

The viewer is designed to work seamlessly with our Claude-ChatGPT Backup Extension, creating a complete workflow for capturing, storing, and analyzing AI conversations.