AI Response Parser
Extract structured data from unstructured LLM text. Detect JSON, code blocks, and plain text sections automatically.
Parsed sections will appear here
Parse AI responses into structured data
When you integrate LLMs into your application, you need to extract usable data from their conversational output. This parser automatically identifies and separates JSON, code blocks, lists, and plain text — saving you from writing custom regex for every response format.
How it works
- Detects code blocks — Finds markdown ``` fences and identifies the language.
- Validates JSON — Parses JSON blocks and reports syntax errors with details.
- Extracts lists — Identifies bullet points and numbered lists in text.
- Preserves plain text — Keeps explanations and context intact.
AI Response Parser FAQ
What does the AI Response Parser do?
It analyzes unstructured LLM output and extracts structured components: JSON objects, code blocks, key-value pairs, and plain text sections. This makes it easier to use AI output in automated workflows.
Can it parse responses from any LLM?
Yes. It works with output from ChatGPT, Claude, Gemini, Llama, and any other text-generating model.
Does it validate extracted JSON?
Yes. When JSON is detected, it attempts to parse and validate it. If validation fails, it shows an error and offers to repair the JSON.
What if the response has no structured data?
The parser shows the plain text as-is and indicates that no structured components were found.
Is my data sent to a server?
No. All parsing happens locally in your browser. Your data never leaves your computer.