Converter Documentation - PromptAsCode

Overview

The Converter tool transforms prompts between different formats instantly. Whether you need to convert a JSON prompt template to YAML for a configuration file, or transform structured data into the llms.txt format, this tool handles all conversions with automatic format detection.

6+ Formats

JSON, YAML, XML, MD & more

Auto-Detect

Automatic input detection

Copy & Export

Instant clipboard copy

How to Use

1
Paste Your Content - Enter your prompt or data in any supported format into the input editor.
2
Format Auto-Detected - The tool automatically detects the input format (or you can override manually).
3
Select Output Format - Choose your desired output format from the dropdown menu.
4
Click Convert - Transform your content to the selected format instantly.
5
Copy or Download - Copy the converted output to clipboard or download as a file.

Supported Formats

JSON

Standard JSON format with proper escaping. Ideal for API integrations and programmatic use.

{
  "role": "system",
  "content": "You are a helpful assistant.",
  "temperature": 0.7
}

YAML

Human-readable format perfect for configuration files and version control.

role: system
content: You are a helpful assistant.
temperature: 0.7

XML

XML format for enterprise systems and legacy integrations.

<prompt>
  <role>system</role>
  <content>You are a helpful assistant.</content>
  <temperature>0.7</temperature>
</prompt>

Markdown

Documentation-friendly format with headers and formatting.

# System Prompt

You are a helpful assistant.

## Parameters
- Temperature: 0.7

llms.txt

The emerging standard for LLM-readable website context files.

# Prompt Configuration

> Role: system

You are a helpful assistant.

---
temperature: 0.7

Plain Text

Simple text output without any formatting or structure.

Auto-Detection

How Auto-Detection Works

The Converter analyzes your input to determine the format:

JSON: Starts with { or [ and valid JSON structure
YAML: Contains key: value pairs without JSON brackets
XML: Starts with < and contains valid XML tags
Markdown: Contains # headers or markdown syntax
Plain Text: Default when no other format detected

Override Detection

If auto-detection picks the wrong format, you can manually select the input format from the dropdown to ensure correct parsing before conversion.

AI Expert Use Cases

CI/CD Pipeline Integration

Convert prompts from YAML (used in config files) to JSON (used in API calls) as part of your deployment pipeline. This keeps prompts human-readable in repos while API-ready in production.

Documentation Generation

Convert structured prompt configurations to Markdown for automatic documentation generation. Keep your prompt docs always in sync with actual configurations.

Cross-Platform Compatibility

When working with different AI platforms, convert prompts between their preferred formats. Some platforms prefer JSON, others YAML, and enterprise systems often need XML.

llms.txt Adoption

Convert your existing prompts to the llms.txt format to make your website's context easily consumable by AI crawlers and assistants.

Tips & Best Practices

Pro Tips

Use YAML for human-editable configs (easier to read/write)
Use JSON for programmatic access and API integrations
Use Markdown for documentation and sharing with non-technical users
Validate converted output before using in production
Keep a master copy in your preferred format, convert as needed

Format Selection Guide

Config files: YAML (human-readable, supports comments)
API requests: JSON (standard, widely supported)
Enterprise systems: XML (schema validation, namespaces)
Documentation: Markdown (renders beautifully)
AI context files: llms.txt (emerging standard)