AI Chat Exporter: A Chrome Extension for High-Fidelity Claude Conversation PDFs

AI Chat Exporter is a Chrome extension that solves the problem of messy formatting when saving Claude AI conversations to PDF, particularly for content heavy on math and code. Standard "Print to PDF" methods often break layouts, but this tool aims to maintain fidelity.
Key Details
The developer created this tool after facing issues with broken formatting when trying to save Claude conversations for research purposes. The core solution involves a custom rendering engine built with assistance from Claude 3.5 Sonnet.
- High-fidelity preservation: PDFs maintain the aesthetic of the actual Claude interface
- Math and code handling: Renders high-quality math formulas and preserves code formatting
- Image support: Auto-unwraps screenshots within conversations
- Formatting specialization: The engine specifically handles progressive markdown and Claude's LaTeX formatting
- Privacy-first approach: All text and markdown processing happens 100% locally in your browser
- Free tier: Core export functionality is available for free
- Platform: Available as a Chrome extension via the Chrome Web Store
The developer is seeking feedback from Claude power users regarding formatting tweaks and potential new features.
📖 Read the full source: r/ClaudeAI
👀 See Also

Sonarly: AI-driven Production Alert Triage and Resolution
Sonarly connects with observability tools to triage and resolve production alerts, reducing noise and focusing on critical issues.

Codebook Lossless LLM Compression: 10-25% RAM Reduction with Bitwise Packing
A developer's proof-of-concept code demonstrates lossless LLM compression by packing fp16 weights into blocks, achieving 10-25% RAM reduction with a trade-off of approximately halved inference speed. The approach identifies that most models only use 12-13 bits of unique values despite fp16's 16-bit representation.

Claude-context-lint tool audits token overhead in Claude Code projects
A new tool called claude-context-lint scans Claude Code projects to show how much context window is consumed by CLAUDE.md files, skills, MCP servers, and system prompts before user input. The tool provides specific recommendations for reducing token usage.

EmoBar: Visualizing Claude's Internal Emotion Vectors from Anthropic Paper
A developer built EmoBar, an open-source tool that visualizes the 171 internal emotion representations in Claude identified in Anthropic's recent paper. The tool uses a dual-channel approach to surface these measurable vectors that causally drive model behavior.