What is data processing?
Processing takes your existing structured data and applies AI-powered transformations:
Clean — remove duplicates, fix formatting, validate values
Enrich — add derived fields, categorise records, extract sub-fields
Standardise — normalise dates, currencies, addresses, phone numbers
Merge — combine multiple data sources into one unified dataset
Filter — extract a subset of records matching conditions
How to run processing:
Click + New → New Project
Choose Data Processing
Upload your input file (or connect to an extracted project)
Describe what you want done (e.g. "Standardise all dates to ISO 8601 and extract the city from the address field")
Choose your output format
Click Process
Quality scoring:
After processing, Lymnus shows a Data Quality Score (0–100) and a breakdown of what was changed:
Issues found and fixed
Duplicates removed
Validation errors
Format standardisations applied