log-visualiser-converter

To convert a Claude Code session JSONL log, you parse the raw session data and transform it into an enriched visualiser JSON file. This process repairs agent models and converts prompts into structured questions for clear playback.

Claude Code log conversion mandates PII sanitization before saving the visualiser JSON file. It scrubs sensitive paths, usernames, repo names, and session URLs to ensure the output is safe for public viewing.

You can adjust timing and correct adversarial loop transitions during JSONL log conversion. The process validates transitions and applies timing adjustments so the final visualiser file reads clearly as a story.

The best way to prepare a raw runtime transcript for a docs site is to run it through a log visualiser converter. This generates a story-driven JSON file with accurate timing, phase markers, and review outcomes ready for publication.

You need to provide a log id, title, and subtitle to run the log visualiser converter for your Claude Code session. These inputs allow the tool to generate the enriched visualiser JSON file.

Your Claude Code session log playback reads poorly because raw JSONL logs lack narrative structure. Converting the log repairs agent models and structures brainstorming prompts into questions, creating a story-focused visual experience.