JSON Extractor Prompt
Extract structured JSON from any unstructured text.
/ quick answer
Use for entity extraction, invoice parsing, form intake, etc. Extract structured JSON from any unstructured text.
Extract the fields from the text into JSON matching this schema:
Schema:
{{schema}}
Text:
{{text}}
Rules:
- Return ONLY valid JSON.
- If a field is missing, use null.
- Never invent values.{ "vendor": "Notion", "amount": 96.00, "currency": "USD", "date": "2026-07-01" }/ frequently asked
What does the JSON Extractor Prompt prompt do?
Use for entity extraction, invoice parsing, form intake, etc.
Which AI models work with this prompt?
It is model-agnostic: it works with any capable general model. Replace the bracketed variables with your own context before running it.
How do I use this prompt?
1) Copy the prompt with the copy button. 2) Replace every bracketed variable with your real details. 3) Paste it into your AI assistant. 4) Compare the answer with the example output and ask for changes if needed.
What output should I expect?
{ "vendor": "Notion", "amount": 96.00, "currency": "USD", "date": "2026-07-01" }.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Prompt Chaining
Pipelining LLM calls where each step's output feeds the next.
- →Few-Shot Prompting
Showing the model 2–5 examples of the task inside the prompt so it mirrors the pattern.
- →System Prompt
A high-priority instruction that sets the model's role, tone and constraints for the whole conversation.
- →JSON Mode
A model setting that guarantees valid JSON output.
Related prompts
Reusable prompts for this job.
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Iterate a weak prompt into a strong one using best practices.
- →Brand Voice Extractor Prompt
Distill 5-10 samples into a reusable brand voice profile.
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Turn a business situation into a McKinsey-style strategic memo.
- →Buyer Persona Builder Prompt
Generate a detailed persona from a product description and target market.