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Clean Up Messy Data

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

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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 kerja

1
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2
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3
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Mengapa milik kami?

βœ“Sepenuhnya gratis β€” tidak ada biaya tersembunyi, selamanya
βœ“Tidak perlu akun, email, atau login
βœ“File tidak pernah meninggalkan perangkat Anda
βœ“Tidak ada batasan ukuran file sama sekali
βœ“Tidak ada tanda air pada output apa pun

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