Curl to JSON Converter
Convert curl commands to JSON and fetch
JSON output
Fetch API code
Header parsing
Body extraction
The API documentation shows a curl example. Your application uses JavaScript fetch. The example has 12 headers, a complex POST body, and authentication. Translating by hand means typos, forgotten headers, and frustrating debugging.
Curl commands are the universal language of API examples. But when you need fetch(), Axios, or a structured JSON object, manual translation is tedious and error-prone. This converter parses curl instantly, giving you the format your code actually needs.
What is Curl to JSON Conversion?
This tool parses curl command-line syntax and extracts the structured components: URL, HTTP method, headers, body, and authentication. It outputs these as a clean JSON object or generates equivalent JavaScript fetch code.
Conversion example:
# Input: curl command
curl -X POST "https://api.example.com/users" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer token123" \
-d '{"name":"John"}'
# Output: JSON
{
"url": "https://api.example.com/users",
"method": "POST",
"headers": {
"Content-Type": "application/json",
"Authorization": "Bearer token123"
},
"body": {"name": "John"}
}
Nearly every API doc includes curl examples because curl is universal. Converting these to your actual HTTP client saves time and reduces errors.
Why People Actually Need This Tool
Most API integration starts with copying documentation examples. Converting curl to your actual codebase's HTTP client is where mistakes happen.
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API integration — Convert documentation examples to usable code.
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Debugging exports — Browser DevTools export requests as curl; convert for analysis.
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Testing automation — Transform curl test cases to Postman or code.
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Documentation creation — Generate structured JSON from curl examples for docs.
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Code generation — Get fetch() or Axios code instead of curl.
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Request analysis — Parse complex curl commands to understand all components.
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Cross-platform work — Convert shell commands to language-native requests.
How to Use Curl to JSON Converter
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Paste your curl command — From documentation, DevTools, or anywhere.
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Parse instantly — See structured breakdown of all request components.
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Choose output format — JSON object, fetch code, or Axios code.
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Copy and use — Integrate directly into your application.
| Curl Flag | Parsed As | Purpose |
|---|---|---|
-X, --request | HTTP method | GET, POST, PUT, DELETE |
-H, --header | Headers object | Content-Type, Auth, etc. |
-d, --data | Request body | POST/PUT payload |
-u, --user | Basic auth | username:password |
-b, --cookie | Cookies | Session cookies |
-L, --location | Follow redirects | Redirect handling flag |
Curl commands from DevTools often include auth tokens and session cookies. Be careful when sharing parsed output—it may contain sensitive credentials.
Real-World Use Cases
1. The API Documentation Integration
Context: Integrating a payment API. Docs show curl examples only.
Problem: Application uses Axios. Manual translation risks typos in header names.
Solution: Paste curl, get Axios code with correct headers and body structure.
Outcome: Working integration in minutes instead of debugging header typos for hours.
2. The Browser Debug Export
Context: Debugging why a request works in browser but fails in code.
Problem: DevTools shows "Copy as cURL" but code uses fetch().
Solution: Copy curl from DevTools, convert to fetch() to see exact equivalent.
Outcome: Discover missing header that browser sends automatically but code didn't.
3. The Postman Import
Context: Team sharing API test cases. Some use curl, some use Postman.
Problem: Need curl examples converted to Postman collections.
Solution: Convert curl to JSON, import structured data into Postman.
Outcome: Unified test collection everyone can use regardless of preferred tool.
4. The Webhook Testing
Context: Testing webhook endpoint with specific payload structure.
Problem: Webhook provider gives curl examples; need to reproduce in test suite.
Solution: Parse curl to understand exact headers and body structure.
Outcome: Test suite matches production webhook behavior exactly.
5. The Legacy System Analysis
Context: Inheriting codebase with curl commands embedded in shell scripts.
Problem: Need to understand what each curl command actually does.
Solution: Parse each command to see structured breakdown of URL, method, headers.
Outcome: Document all API dependencies in the legacy system.
6. The GraphQL Query Extraction
Context: GraphQL API documented with curl POST examples.
Problem: Need to extract the query from the curl body for a GraphQL client.
Solution: Parse curl, extract body, format GraphQL query cleanly.
Outcome: Query ready for GraphQL client without manual JSON parsing.
7. The Multi-Language Support
Context: SDK needs examples in Python, JavaScript, Go, and Ruby.
Problem: Writing same request in 4 languages manually is error-prone.
Solution: Start with curl, convert to JSON, generate each language from structure.
Outcome: Consistent examples across all languages from single source of truth.
Common Mistakes and How to Avoid Them
Windows curl, Git Bash curl, and macOS curl handle quoting differently. Make sure the command is valid for your environment.
Privacy and Data Handling
This Curl to JSON Converter operates entirely in your browser.
- No curl commands are sent to any server.
- No requests are logged or stored.
- No account required.
- Works completely offline.
Parse curl commands with authentication tokens safely—nothing leaves your device.
Conclusion
Curl commands are everywhere: documentation, StackOverflow answers, DevTools exports, debugging guides. But your application probably doesn't use curl. It uses fetch, Axios, requests, or whatever your language prefers.
This converter bridges that gap. Paste any curl command—no matter how complex—and get structured data you can actually use. No more typos from manual translation, no more missing headers, no more debugging simple mistakes.
Let machines do the translation. You focus on the integration.