Practical articles on working with CSV files — import tricks, encoding gotchas, format conversions, and real-world workflows.
Salesforce's Data Import Wizard has quirks around file size, column mapping, and picklist values. Here's a field-tested workflow for splitting large CSVs into import-ready chunks without triggering errors.
Read articleEach format solves a different problem. CSV is the universal lingua franca but ambiguous; TSV is cleaner but less supported; XLSX preserves types but is harder to automate. Pick by use case.
Read articleExcel files over 50,000 rows get sluggish, and over 1M rows Excel refuses to open them. Here are three strategies for splitting without losing formatting, formulas, or data types.
Read articleWhen monthly exports add columns partway through the year, naive concat breaks. Proper merging unions headers and preserves every field, with sensible defaults for missing data.
Read articleA 10-step pre-import checklist. Validate headers, normalize phone numbers and emails, remove duplicates, check encoding, remove empty rows, fix leading zeros. Catch everything before it catches you.
Read articleMost converters turn nested objects into "[object Object]" and silently drop sparse keys. Here's what a correct CSV ↔ JSON round-trip looks like and how to preserve structure.
Read articleTen real-world regex patterns for CSV cleanup: phone number normalization, date format conversion, country-name canonicalization, and more. Copy-paste ready.
Read articleWhen your CSV is 500 MB, Excel chokes and Google Sheets refuses. Here's how to filter and sort gigabyte-scale files in a browser without freezing the tab.
Read articleThe 12 structural issues that cause 90% of import failures — and how to catch them in seconds. From blank headers to row-length mismatches to encoding problems.
Read articleIf a tool uploads your file, a breach becomes a data-handling incident for your company. Browser-based tools sidestep this entirely — here's why the architecture matters for compliance.
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