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For Developers

Keep code blocks, language tags, and Claude artifacts intact

Most exporters treat code like body text. ChatExport AI keeps language tags (```python stays ```python), preserves indentation byte-perfect, extracts Claude artifacts as standalone files in a ZIP, and emits JSON ready for RAG ingestion or fine-tunes.

Add to Chrome — It's Free Claude → Markdown guide
What changes

Code stays code. Artifacts stay files.

Language tags preserved

```ts in equals ```ts out. Markdown exports keep fenced blocks with the language hint intact for syntax highlighting downstream.

Claude artifacts as files

HTML artifacts, React components, SVG, Mermaid — extracted as separate files in a ZIP, referenced from the transcript by relative path. Real review-ready review-ready output.

Byte-perfect indentation

Tabs vs spaces, four vs two — exactly as the AI emitted. No re-indenting in your editor.

JSON with role / content / metadata

Each turn structured: role, content, model, timestamp. Drop into a RAG pipeline or fine-tune dataset.

Workflow

From chat to commit in three steps

1

Pair with Claude / ChatGPT / Cursor

Ship a feature, refactor, debug — whatever. The conversation has reasoning that's worth keeping.

2

Export Markdown + JSON

Markdown for the docs commit, JSON for your retrieval pipeline.

3

Diff-friendly artifacts in git

Markdown sits cleanly next to the code, reviewable in PRs, diffable across model iterations.

Recommended formats

Pick what your toolchain wants

Markdown

Commit alongside code. Diff-friendly. Renders in GitHub gists, MkDocs, Obsidian.

JSON

Structured turns for RAG, fine-tunes, telemetry pipelines.

PDF

Code with syntax highlighting for design-review documents.

HTML

Self-contained offline page with KaTeX bundled, code highlighted.

Code-faithful AI exports

Free Chrome extension. Language tags. Artifacts. JSON.

Add to Chrome — It's Free