Export Data From Any App to Excel — Convert CSV to .xlsx Free
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Almost every app with data export functionality produces a CSV file. Shopify order exports, HubSpot contact lists, Salesforce reports, Google Analytics data, survey results from Typeform or SurveyMonkey — all CSV. When you need that data in Excel for a finance team, a client report, or any workflow that expects .xlsx, a one-step conversion is all you need.
How to Convert Any App Export to Excel
The process is the same regardless of where the CSV came from:
- Export from your app as CSV (every major platform has this option)
- Upload the CSV to the free browser converter
- Confirm the preview looks right — columns separated, headers in row 1
- Download the .xlsx file
The converter handles auto-detection of delimiters, numeric type conversion, and column width auto-fit. The resulting .xlsx opens cleanly in Excel, Google Sheets, Numbers, or LibreOffice.
Shopify CSV Exports to Excel
Shopify exports orders, customers, products, and inventory as CSV from the admin dashboard under each section's Export button. Common export types:
- Orders: Admin > Orders > Export. Contains order ID, customer, items, price, status, shipping address.
- Customers: Admin > Customers > Export. Email, name, total spent, order count, location.
- Products: Admin > Products > Export. SKU, title, price, inventory, variants.
Shopify CSVs use standard comma delimiters and UTF-8 encoding. They convert to Excel cleanly with numeric price and quantity columns automatically detected as numbers. One thing to check: Shopify includes a "Tags" column that sometimes contains comma-separated values inside quotes — the converter handles this correctly via quoted field detection.
Sell Custom Apparel — We Handle Printing & Free ShippingHubSpot and Salesforce Exports to Excel
HubSpot: Export contacts, companies, deals, or tickets from the respective Index page in HubSpot (Actions > Export). HubSpot produces standard comma-delimited CSV with UTF-8 encoding. Large HubSpot exports may include many columns — the converter handles wide files the same as narrow ones.
Salesforce: Export reports from Reports > the report > Export. Salesforce gives you the option to export as .xls or .csv — choose CSV. Salesforce reports sometimes use custom date formats (MM/DD/YYYY) — these convert to text columns in Excel, which is expected. If you need them as Excel date values, reformat the column after opening in Excel.
Google Analytics / GA4: Export from Explore reports as CSV. These often include metadata rows at the top — a report title, date range, and blank separator row before the actual data. The converter treats row 1 as headers, so delete metadata rows in the exported CSV before uploading, or the first data row will be treated as column names.
What Gets Better When You Convert to Excel
Opening an app export directly in Excel (by double-clicking the CSV) often produces a usable but imperfect spreadsheet. A proper conversion improves several things:
Numeric columns sort correctly. In a raw CSV-opened-in-Excel, columns like "Total Price" or "Quantity" may be stored as text, causing sort to order them 1, 10, 100, 2, 20 instead of numerically. The converter detects and stores these as true numeric values.
Column widths are readable. Raw CSV import in Excel leaves all columns at default width, requiring manual adjustment. The converter auto-fits widths to content.
Formulas work immediately. Because numeric columns are stored as numbers, you can write =SUM(F2:F500) on a price column and get the correct total immediately — no "convert text to number" step needed.
Delimiter issues disappear. Some CRM and ERP exports use semicolons or tabs. The browser converter detects these automatically — no import wizard, no locale settings to worry about.
Quick Reference: App Export Formats
| App | Export format | Delimiter | Notes |
|---|---|---|---|
| Shopify | .csv | Comma | Standard, UTF-8 |
| HubSpot | .csv | Comma | Standard, UTF-8 |
| Salesforce | .csv or .xls | Comma | Choose CSV |
| Google Analytics 4 | .csv | Comma | Delete metadata rows first |
| Mailchimp | .csv | Comma | Standard |
| Stripe | .csv | Comma | Standard |
| QuickBooks | .csv | Comma | May have header rows |
| MySQL / pgAdmin | .csv or .tsv | Comma or Tab | Both auto-detected |
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Open Free CSV to Excel ToolFrequently Asked Questions
Can I convert a Shopify export with thousands of rows?
Yes. The converter handles large files — the practical limit is your browser's available memory, which is typically several hundred MB. A Shopify export with 50,000 orders converts without issue on a modern computer.
My HubSpot export has 200 columns. Will they all convert?
Yes. The converter handles wide files with many columns. All columns present in the CSV appear in the .xlsx output. Column width auto-fitting applies to all columns.
Does converting a Salesforce export to Excel preserve the data exactly?
Yes, values are preserved exactly. The difference is storage type — numbers move from text to numeric, which enables formulas. Text stays as text. Dates may remain as text strings depending on Salesforce's export format for your report — you can reformat them in Excel if needed.
My Google Analytics export has garbage in the first few rows. What do I do?
Google Analytics (and many other tools) add a report title, date range, and blank row before the actual data. Open the CSV in a text editor, delete the header rows until the first row is your column names, save, then upload. Alternatively, open it in Google Sheets, delete the metadata rows, and re-export as CSV.
Amanda spent seven years as a financial analyst before discovering free browser-based data tools. She writes about spreadsheet tools, CSV converters, and data visualization for non-engineers.
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