Taxa Converter

About This Tool

Taxa Converter offers cross-database mapping of taxonomic identifiers, names, and ranks across major databases. It accepts inputs as IDs or canonical names and returns standardized outputs with confidence scores to guide downstream analyses. The system conceptually relies on crosswalk tables, synonym resolution rules, and rank normalization to produce consistent taxon references. It supports both single-lookups and batch processing, enabling researchers to integrate taxonomic data into pipelines with minimal manual curation. Users benefit from reduced manual cross-referencing, improved data quality, and faster publication readiness. Unique value lies in its combination of bidirectional mapping, explicit confidence scoring, and extensible database support, which together enable robust taxon reconciliation across sources. Core features include: (1) source-target mapping between NCBI, ITIS, GBIF, Catalogue of Life, and WoRMS; (2) name-to-ID and ID-to-name lookups with rank alignment; (3) optional fuzzy matching with confidence metrics; (4) batch processing via API or file uploads; (5) export-ready outputs in JSON, CSV, or TSV. Use cases span data integration for publishing, metadata curation, and educational datasets where taxonomy consistency is essential. This tool is designed for bioinformaticians, curators, and researchers who require reliable cross-database crosswalks and audit-friendly outputs for reproducible science.

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