OmniClean

First-Time User Quickstart Manual

Follow three simple stages to cross-check and sanitize your datasets.

01 // REF LIST

Exclusion Reference

Upload or paste blacklisted items, emails, IDs, or patterns you want to remove.

02 // TARGET

Target Dataset

Upload or paste your data table or logs. Content Sniffer auto-detects CSV, Excel, JSON, TSV, or raw text.

03 // EXECUTE

Configure & Clean

Select match logic (Exact, Contains, Fuzzy, or Regex), run audit, inspect changes, and download clean data.

[ DYNAMIC_CONTENT_SNIFFER ] Inspects structural byte syntax rather than standard file extensions. Ingest Excel (.xlsx), CSV, TSV, JSON array, or raw text logs into the exclusion cross-checking matrix.

01 // REF

Exclusion Reference (Items to Filter Out)

Drop exclusion reference file here, or browse

Accepts CSV, XLSX, JSON, TXT, LOG, or TSV

02 // DATA

Target Dataset (Data to Clean)

Drop target dataset file here, or browse

Accepts CSV, XLSX, JSON, TXT, LOG, or TSV

Forensic Rule Logic & Sanitization

Default Mode (Remove Matches)

// Inversion Logic

Default: Exclude items matching rules. Inverted: Keep ONLY items matching reference rules.

Strategy

// Match Strategies

Exact: Strict text comparison.
Case-Insensitive: Ignores uppercase/lowercase.
Contains: Sub-string presence.
Regex: Regular expression patterns.
Fuzzy: Approximate fuzzy similarity.

Sanitization

Trim Spaces

// Auto-Trim

Remove leading and trailing whitespace from string values before evaluating.

Skip Blanks

// Ignore Empty

Ignore blank lines or null values in the reference exclusion list.

Fuzzy Tolerance 0.2

// Fuzzy Sensitivity

0.0 = Strict similarity; 0.5 = Loose approximate matching.

Total Evaluated

Reference Rules

Filtered Out

Retained Clean

Exclusion Ratio

Showing 0 of 0 records Viewport cap: 1,000 items. Full dataset included in download payload.

Cleaned Data Export & Audit Payload

Select file format and export validated dataset.