API Error Parser is a simple Streamlit tool that helps developers and QA engineers understand API error responses faster.
Paste an HTTP status code and an API error payload, and the tool will:
- Explain the meaning of the error
- Extract common error fields
- Suggest likely causes
- Provide debugging steps
Built with Python + Streamlit.
Try the tool online:
https://api-error-parser.streamlit.app
When an API fails, the response body is often too raw or too technical for quick debugging.
This tool turns common API errors into a more human-readable explanation, which is useful for:
- QA engineers
- Backend developers
- Frontend developers
- Automation engineers
- Anyone debugging REST API responses
- Understand what a
500 Internal Server Errormay really mean - Parse a
422 validation_failedresponse body - Diagnose
401 unauthorizedor token expiration issues - Investigate
429 rate limit exceedederrors
- Parse HTTP status codes such as 400, 401, 403, 404, 422, 429, 500, 502, 503, and 504
- Extract common fields like
error,message,details,code, andrequest_id - Detect likely categories such as:
- Authentication
- Authorization
- Validation
- Timeout
- Rate limit
- Resource not found
- Provide practical debugging suggestions
Install dependencies
pip install -r requirements.txt
Run the Streamlit app
streamlit run app.py
Then open your browser:
http://localhost:8501
logcat-error-filter
│
├── app.py
├── requirements.txt
└── README.md
This project targets common developer searches such as:
-
API error parser
-
HTTP error parser
-
API error response analyzer
-
understand API error message
-
HTTP 500 error meaning
-
HTTP 401 unauthorized parser
-
API validation error checker
You may also be interested in:
- Crash Log Analyzer : https://crash-log-analyzer.streamlit.app
- Stack Trace Root Cause Finder : https://stack-trace-root-cause-finder.streamlit.app
- Logcat Error Filter : https://logcat-error-filter.streamlit.app
These tools help developers debug logs more efficiently.