Apply Official Taxonomies to Unstructured Data
Paste or upload a document to get ranked classification results from official taxonomies. This is a free online classification tool — no account required for single documents. If you need to classify many documents, use bulk upload instead.
Why LLM-only Classification
Fails
LLMs excel at summarization, semantic understanding, and text generation. However, formal classification across standardized taxonomies is a deterministic structured-mapping problem, not a probabilistic generation task.
Invalid or Fabricated Codes
LLMs may generate non-existent identifiers, mix taxonomies, or produce structurally invalid codes.
Output Instability
The same input can yield different classifications depending on phrasing, context, or model randomness.
Hierarchy Misalignment
Multi-level taxonomies (domain → group → class → subclass) are often misinterpreted or misaligned.
Lack of Reproducibility
Results cannot be reliably reproduced, audited, or validated for governance and compliance.
Analytics & Reporting Risk
Downstream analytics, regulatory reporting, and decision systems require stable and standardized mappings.
When classification feeds analytics, reporting, compliance, workforce intelligence, migration systems, or global HR datasets, you need reproducible, inspectable, and standards-aligned classification logic — not stochastic outputs.
