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Instructor

Instructor

Structured outputs from LLMs

Instructor patches LLM clients to return validated, typed outputs using Pydantic models. Works with OpenAI, Anthropic, and other providers. Simple API for structured extraction.

Panel Reviews

The Builder

The Builder

Developer Perspective

Ship

The simplest way to get typed, validated outputs from LLMs. Pydantic integration is natural for Python developers.

The Skeptic

The Skeptic

Reality Check

Ship

Does one thing perfectly. No over-abstraction, just structured outputs. The anti-LangChain.

The Futurist

The Futurist

Big Picture

Ship

Structured outputs are the bridge between LLMs and traditional software. Instructor makes that bridge trivial to build.

Community Sentiment

Overall1,885 mentions
76% positive17% neutral7% negative
Hacker News387 mentions
80%14%6%

Instructor with Pydantic is the cleanest way to get structured JSON from any LLM — no prompt hacks needed

Reddit521 mentions
75%18%7%

Switched from manual JSON parsing to Instructor and halved my LLM extraction bug rate overnight

Twitter/X814 mentions
73%20%7%

Instructor's retry-on-validation-error feature is subtle but solves 90% of LLM structured output failures

Product Hunt163 mentions
82%12%6%

If you're extracting structured data from LLMs and not using Instructor, you're making life hard for yourself