Build Anything with Structured LLM Output
ShapeShyft transforms unpredictable AI responses into reliable, schema-validated data. Here are some common use cases—but your imagination is the only limit.
Text Classification
Automatically categorize text into predefined labels with high accuracy. Perfect for sentiment analysis, topic detection, intent recognition, and content moderation.
Data Extraction
Extract structured information from unstructured text documents. Transform invoices, contracts, emails, and forms into clean, usable data.
Content Generation
Generate high-quality, structured content programmatically. Create product descriptions, marketing copy, documentation, and more with consistent formatting.
Your Use Case, Your Rules
While we've highlighted common patterns, ShapeShyft is designed to be completely flexible. Define any JSON schema, connect any LLM provider, and build exactly what you need. Whether you're creating a chatbot, analyzing research papers, automating workflows, or building something entirely new—if you can describe it in a schema, ShapeShyft can deliver it.
Custom Schemas
Define any data structure you need
Any LLM Provider
OpenAI, Anthropic, Google & more
Validated Output
Guaranteed schema compliance
API-First
Easy integration with any stack
Ready to Build?
Start with our free tier and see how ShapeShyft can transform your AI integration.