Profile the file
See row count, column coverage, likely types, and basic value patterns.
Open CSV ProfilerUse these working browser tools to understand a file's columns, missing values, identifiers, dates, and duplicate candidates before it enters a database, CRM, dashboard, or analysis.
Start broad, then inspect the fields most likely to break an import or distort analysis. Each link opens the named executor with example inputs and a direct run action.
See row count, column coverage, likely types, and basic value patterns.
Open CSV ProfilerMeasure blanks by column so missingness is visible before mapping or analysis.
Analyze missing dataReview likely field types and structures instead of guessing at an import contract.
Infer the schemaCheck uniqueness and completeness before treating a field as a primary key.
Find key candidatesDetect mixed date patterns before sorting, grouping, or calculating elapsed time.
Detect date formatsLocate likely repeated records without silently deleting anything.
Find near duplicatesThe tools identify candidates and measurable conditions. A person still decides which fields are authoritative and which transformations are acceptable.
Confirm email, company, identifier, and date fields are present and consistent before records are merged into the live customer system.
Check key coverage and duplicates before relying on a field to connect two tables.
Use the results to define a repeatable schema, rejection rules, and a quality threshold for each future file.
Elkwai can turn this sequence into a scheduled validation step, exception report, API response, or managed data-quality workflow.
Start with the free CSV comparison tool or download the CSV import checklist. Data Workbench turns two CSV files into a reusable reconciliation report. Choose the offline browser app or developer kit, each $49 once.