🔍
🧹
Clean Data Before Analysis
Find duplicate rows in CSV exports or database dumps before analytics work.
Nessun accesso richiesto
Output will appear here…Data Cleanup tips
🧹
For customer data deduplication, paste a column (e.g. emails or phone numbers) — find collisions before running joins.
💡
For log file analysis, the "Count occurrences" mode quickly tells you the most-frequent log entries.
🎯
For database row deduplication, export to a single-column list, find duplicates, then craft a DELETE query for them.
Come funziona
1
Inserisci
Enter your data into the tool above. Everything stays local to your browser.
2
Elabora
The tool processes your data instantly in your browser using JavaScript. No server, no waiting.
3
Scarica
Get your result instantly. Nothing is stored after you leave the page — complete privacy.
Perché il nostro?
✓Completamente gratuito — nessun costo nascosto, mai
✓Nessun account, email o accesso richiesto
✓I file non lasciano mai il tuo dispositivo
✓Assolutamente nessun limite di dimensione file
✓Nessuna filigrana su nessun output
Also check out…
📧✅📊📂
Dedupe Email Lists
Clean up email lists before importing into Mailchi
Identify Repeats in To-Do Lists
Spot duplicate tasks in long to-do lists or projec
Count Word Frequency
Paste a list of words/keywords to see which appear
Find Repeated Commit Messages
Paste a git log to find authors' habitual commit m