Free Tool

Extraction Lab

Run a paired before/after experiment on any URL. See exactly how HTML structure affects LLM fact extraction — token cost, accuracy, and hallucination rate.

We fetch the page, create a structurally optimised twin, and compare extraction metrics side-by-side. Zero LLM API calls — fully deterministic.

Overview
Before / After
Fact Extraction
Remediation
Golden String

Methodology

🔴 Original
🟢 Optimized

Token Noise Sources (Original)

Extracted Facts Comparison

Original Extraction

FieldValueMatch

Optimized Extraction

FieldValueMatch

Remediation Steps

    Copyable Patch

    
            

    The Golden Semantic String is what an LLM actually reads: Title + Meta + H1 + H2s + first ~600 words of body content + JSON-LD entities. Everything else is noise.

    Original Golden String

    Optimized Golden String

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    Read the Research

    Our whitepaper documents the full methodology, case studies, and statistical proof that HTML structure causally determines LLM extraction accuracy.

    Read the Whitepaper →