Agentic Prompt Studio generates schema, extraction prompts, and perform accuracy validation — all while you grab a cup of coffee.
Analyzes each document on its own. Identifies field names, data types, descriptions, and example values. No field gets overlooked, because it processes each variant separately.
Takes the summaries and finds commonalities. Recognizes that similar, but differently-named fields are the same. Merges duplicates, picks consistent names, consolidates descriptions.
Converts everything into a standardcompliant JSON schema with proper data types, required fields, nested structures, and validation rules. The output is ready to use. Edit it freely, if you want.
Digs through your samples to find extraction clues. It identifies the labels that precede fields, discovers formatting patterns, and maps where fields tend to appear in each layout.
Constructs a detailed extraction prompt. Get a structured set of instructions, field-level guidance, disambiguation rules, edge case handling, and output format.
Stress-tests the prompt before you ever run it. The agent simulates an extraction, validates the output against the schema and identifies potential failure points. Safe to say, that you get a vetted final prompt.
See Unstract in action with walkthroughs of core features and real extraction workflows.
Managed cloud, on-premise, or open-source. Unstract adapts to your infrastructure needs, so choose what works best for you.
Prompt engineering Interface for Document Extraction
Make LLM-extracted data accurate and reliable
Use MCP to integrate Unstract with your existing stack
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Make LLM-extracted data accurate and reliable