Entity resolution · Privacy-preserving demonstration
Name Variant Matching Lab
See how the current S1 engine normalises scripts and ranks two name variants. Inputs remain in your browser and are not submitted, stored or added to analytics.
Runs only in this browser · No request or analytics event
Candidate similarity
100.0%
- Normalised A
- mila kovalenko
- Normalised B
- mila kovalenko
- Token overlap
- 100.0%
- Edit similarity
- 100.0%
Candidate, not identity. Similarity can route a record for review. It cannot establish that two names identify the same person or organisation. Confirm identifiers, dates, jurisdictions, ownership and primary records; apply governing legal and compliance requirements.
What the score contains
The demonstration combines Unicode normalisation, Cyrillic and Arabic transliteration, diacritic folding, token overlap, edit similarity and a phonetic signal. It deliberately exposes the intermediate values so reviewers can challenge the result rather than treating one opaque number as a determination.