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Clean Up Messy Data

Strip or normalize stray characters, delimiters, and formatting in pasted data.

Tiada log masuk diperlukan
Enter a search term to begin

Result

πŸ’‘ In regex mode, use capture groups in Find like (\d{4})-(\d{2}) and reference them in Replace with $1, $2 β€” great for reformatting dates, names, or IDs in bulk.

Data Cleaning tips

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Use regex to collapse multiple spaces (\s+ β†’ single space) or remove unwanted symbols.

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Replace commas with tabs (or vice versa) to switch a list between CSV and TSV.

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Preview the matches first so a greedy pattern doesn't wipe out more than you intended.

Cara ia berfungsi

1
Masukkan
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2
Proses
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3
Muat turun
Get your result instantly. Nothing is stored after you leave the page β€” complete privacy.

Mengapa alat kami?

βœ“Percuma sepenuhnya β€” tiada kos tersembunyi, selama-lamanya
βœ“Tiada akaun, e-mel atau log masuk diperlukan
βœ“Fail tidak pernah meninggalkan peranti anda
βœ“Tiada had saiz fail langsung
βœ“Tiada tera air pada sebarang output

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