Structured Output Prompting — reliable JSON, XML, and table extraction
Force the AI to output in a strict schema using explicit format instructions, examples, and validation rules.
Prompting3.9
Prompt template
Extract the following information and output as valid JSON matching this schema:
{json_schema}
Rules:
- Output ONLY valid JSON, no markdown or explanation
- Use null for missing fields
- Arrays must contain at least 1 item if data exists
Input text: {input_text}How to use
- 1Define a clear JSON schema with field types and descriptions
- 2Include 1-2 few-shot examples of correct output
- 3Add explicit 'output only JSON' instruction
- 4Validate output with JSON parser after generation
- 5Retry with error message if parsing fails
Pro tips
- Use function calling / tool use when available for guaranteed schema
- Include enum constraints for categorical fields
- Add a 'raw_text' fallback field for unparseable content
- Temperature 0 improves schema adherence
JSONStructured OutputParsingSchemachatgpt
Ratings & Reviews
Loading reviews…
Related Skills
Prompting
Persona Prompting — get consistent, expert-toned answers
Give the AI a role, audience and constraints so every answer comes back in a consistent, professional voice.
PromptingWritingchatgpt
4.7
Prompting
RAG Prompting — retrieval-augmented generation for grounded answers
Combine retrieved context with targeted prompts so the AI answers from your documents instead of hallucinating.
RAGRetrievalGrounding
4.5
Prompting
Multi-Modal Prompting — combine text, images, and audio in one prompt
Structure prompts that include images, audio, and text together, with clear instructions on how each modality should be used.
Multi-ModalVisionAudio
4.4