CSV to Excel

Convert CSV data to a real Excel .xlsx file — upload a file or paste your data. Free, in your browser.

Your data is converted in your browser and never uploaded.

How to use the CSV to Excel

  1. Add your CSV. Choose a .csv file or paste your comma-separated data.
  2. Convert. Click convert to build an Excel workbook.
  3. Download. Your .xlsx file downloads automatically.

Why use our CSV to Excel

Real .xlsx output. Produces a genuine Excel workbook, not a renamed CSV — opens cleanly in Excel, Sheets and Numbers.
File or paste. Upload a .csv or paste rows directly into the box.
Private & free. Your data is converted in your browser and never uploaded.

Free to use — premium coming soon

FREE
  • Real .xlsx output
  • Upload or paste
  • No watermark
  • 100% private
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About the CSV to Excel

CSV to Excel turns a plain-text comma-separated file into a real .xlsx workbook that Excel, Google Sheets, and LibreOffice open without any import prompts. A CSV is just rows of text separated by commas (or semicolons or tabs), with no concept of sheets, column types, formatting, or formulas. This tool parses that text, splits each row into proper cells, and writes a genuine Office Open XML workbook so your data lands in tidy columns ready to sort, filter, and format the moment you open it.

Reach for it whenever you have raw exported data and want a spreadsheet you can actually work with. Common cases: a database or analytics platform exports CSV but your finance team needs an .xlsx to add formulas and a pivot table; you receive a contacts or product export and want to format it before sharing; or you simply want to stop double-clicking a CSV and watching Excel jam everything into column A. Converting first means the recipient gets clean, typed columns instead of a wall of text.

Under the hood the tool reads your file or pasted text, detects the delimiter (comma, semicolon, or tab), respects quoted fields so a value like "Smith, John" stays in one cell, and builds a single worksheet inside an .xlsx package. It handles embedded line breaks inside quotes and trims the stray empty trailing rows many exporters add. Because the output is a structured workbook rather than re-saved text, the column boundaries are locked in and won't shift based on a viewer's regional list-separator setting.

Everything runs in your browser using JavaScript, so the file is never uploaded to a server. That matters because CSVs often carry customer emails, order records, or financial figures, and a local conversion keeps that data on your machine. One caveat worth knowing: like any tool that produces a spreadsheet, the visual result still depends on Excel's own number handling. To guarantee that long IDs and codes survive intact, keep them as text rather than numbers (see the FAQ on leading zeros and scientific notation).

Frequently asked questions

Why does my CSV lose leading zeros or turn long numbers into scientific notation in Excel?

Excel treats unformatted numeric strings as numbers, so it drops leading zeros from ZIP codes and shows 16-digit values like 1234567890123456 as 1.23457E+15 (and silently rounds past 15 digits of precision). To keep these intact, store the column as text before converting, or format the column as Text in Excel after opening so the digits are preserved exactly.

Is my data uploaded anywhere when I convert?

No. The conversion runs entirely in your browser with JavaScript, so your CSV file and its contents never leave your device. This makes it safe for spreadsheets containing personal, financial, or other sensitive records.

My CSV uses semicolons instead of commas. Will that work?

Yes. Semicolon-separated files are common in regions where the comma is the decimal mark, and the tool detects semicolon and tab delimiters in addition to commas. Each value still lands in its own column in the resulting .xlsx.

Will the output be a true .xlsx file or just a renamed CSV?

It is a genuine Office Open XML (.xlsx) workbook with a single worksheet, not a CSV with a changed extension. That means it opens directly in Excel, Google Sheets, and LibreOffice as structured cells, and you can immediately add formulas, formatting, or a pivot table.

What happens to values that contain commas, quotes, or line breaks?

Standard CSV quoting is respected: a field wrapped in double quotes, such as "Doe, Jane", stays in one cell, escaped quotes are handled, and line breaks inside a quoted field are preserved within that cell rather than splitting the row.

From our blog

Writing a robots.txt File That Helps Crawlers Instead of Hurting Your SEO

By the Super Simple Digital Tools Team · Updated June 2026

The robots.txt file is one of the smallest files on your website and one of the easiest to get wrong. It is the first thing most crawlers fetch before they touch anything else, so a single misplaced slash can block your entire site or, just as bad, leave the door open to areas you meant to fence off. The good news is that the format is simple: a series of groups, each beginning with a User-agent line that names a crawler (or * for all of them), followed by Disallow and Allow rules. Get the structure right and the rest is mostly careful path-matching.

Path matching is where the subtlety lives. Values are matched from the start of the URL path, so Disallow: /blog blocks /blog, /blog/, and /blogging-tips alike, while Disallow: /blog/ blocks only the folder. You can use the wildcard * to match any sequence of characters and $ to anchor the end of a URL, for example Disallow: /*.pdf$ to block PDF files. When an Allow rule and a Disallow rule both match, the more specific (longer) rule wins, which is how you open a single file inside an otherwise blocked directory. Remember paths are case-sensitive even though directive names are not.

The Sitemap directive is the one line almost every site should include. Unlike Allow and Disallow it is not tied to a user-agent and takes a full absolute URL, such as Sitemap: https://example.com/sitemap.xml. You can list several sitemaps or a sitemap index. This is a low-effort way to point every search engine straight at your canonical list of URLs, and it works even if the rest of your file is just an open policy. Adding it costs nothing and helps crawlers discover new pages faster.

The biggest conceptual mistake is treating robots.txt as a privacy or removal tool. It is neither. Because Disallow blocks crawling but not indexing, a blocked URL linked from elsewhere can still surface in search results as a bare link. Worse, if you Disallow a page and also add a noindex tag, the crawler can never read the noindex because it is not allowed to fetch the page, so the page may stay indexed. The correct pattern for removing content is to leave it crawlable and apply noindex, or to require authentication for anything truly sensitive.

Once your file is generated, validate it before you ship it. Paste your real URLs into a tester (Google Search Central offers one) to confirm the right paths are blocked and the important ones are not. After deploying, check Search Console for crawl-blocked warnings over the following weeks, since robots changes can take time to register. Keep the file under control in version control, document why each rule exists, and revisit it whenever you launch new sections or change your URL structure.

  • Always include an absolute Sitemap URL line, even if the rest of your file allows everything, so crawlers find your canonical URL list quickly.
  • Never use Disallow together with a noindex tag on the same page; the crawler must be allowed to fetch the page to ever see the noindex instruction.
  • Block crawl traps like internal search results and faceted filter URLs (for example Disallow: /search and Disallow: /*?sort=) to save crawl budget on large sites.
  • Keep sensitive directories out of robots.txt entirely; listing them just advertises them. Protect them with passwords or server-side access rules instead.

Read the full guide →

Tool by the Super Simple Digital Tools Team. Reviewed by our editorial team. Free to use, no signup required.

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