A rule-based review separates instruction components and calls no remote model.
47
AI tools
Conversation Export Formatter
Parses role-prefixed lines or common JSON message arrays in-browser and produces consistent exports. Before sharing, users must review personal data, secrets, and third-party content rights.
✓ Free✓ No account✓ In-browser
QUICK ANSWER
What does this tool do?
Normalize conversation transcripts as Markdown, JSONL, or plain text and review sensitive fields.
Review personal data, secrets, and third-party content rights before sharing.
Result
2Messages
2Roles
### user How can I validate JSON? --- ### assistant Parse it locally with JSON.parse and surface any error to the user.
APPLICATION AND DECISION GUIDE
Conversation Export Formatter: method and usage
Parses role-prefixed lines or common JSON message arrays in-browser and produces consistent exports. Before sharing, users must review personal data, secrets, and third-party content rights.
an instruction with an explicit goal, audience, context, constraints, and expected output format Confirm the shape first with a small example containing no personal data.
an editable prompt draft, coverage metrics, and explicit improvement actions
Practical steps
- Paste the conversation as role lines or a JSON message array.
- Choose the target format and run local parsing.
- Remove sensitive content and export only conversations you are authorized to use.
model testing with representative normal, missing-context, conflicting, sensitive-data, and prompt-injection cases
The tool calls no remote model and neither generates nor verifies model output.
Suitable use cases
- Converting a chat archive to Markdown
- Preparing JSONL for model evaluation
- Personal-data pre-checks
LEARN THE WORKFLOW
Guides for this tool
Token and Context Budgets: A Practical System-Prompt Checklist
Turn system instructions, history, sources, user input, output, and safety margin into a measurable context plan.
Read guide →Verifiable Workflow Planning with Local Agent and Workstation
Turn an outcome into a tool order, safety boundary, and reversible nodes.
Read guide →ABOUT THIS TOOL
Frequently asked questions
What input does Conversation Export Formatter accept?+
an instruction with an explicit goal, audience, context, constraints, and expected output format Paste the conversation as role lines or a JSON message array.
What does Conversation Export Formatter return?+
an editable prompt draft, coverage metrics, and explicit improvement actions A rule-based review separates instruction components and calls no remote model.
How should I validate Conversation Export Formatter output?+
model testing with representative normal, missing-context, conflicting, sensitive-data, and prompt-injection cases
Does Conversation Export Formatter send or store input on a server?+
Tool input is processed in the active tab. Saving to the Workstation or transferring to another tool is a separate choice. Consider browser extensions and shared devices separately; the privacy page explains advertising and network connections.