URL-decode CSV lets you take URL-encoded CSV content and instantly convert it back into readable plain text. Perfect for decoding data stored or transferred via URLs or APIs, it handles full CSV blocks safely and offline, right in your browser.
How to Use:
- Paste URL-encoded CSV data into the left-hand “Input Text” box
- Or click “Choose File” to import a
.txt
,.csv
, or other supported text-based file - Supported file types are: .txt, .csv, .tsv, .log, .json, .xml, .md, .ini, .yaml, .yml, .html, .htm, .css
- The file import section sits just under the input box and updates the input when selected
- As you type or paste data, the right-hand “Decoded Output” updates automatically
- The output box shows the total number of characters beneath it
- Click “Decode” if you want to re-process static text manually
- Use “Copy Output” to quickly copy the decoded content to your clipboard
- Use “Export to File” to save the output as a plain
.txt
file - Use “Clear All” to reset the input, output, file selection, and counter to blank/default state
- Output flashes a blue border each time it updates to provide feedback
What URL-decode CSV can do:
URL-decode CSV turns any percent-encoded text (like you’d see in URLs or web forms) back into clean, readable CSV. It’s useful when you get CSV data from sources that encode special characters like commas, newlines, or ampersands. The tool works right in your browser no uploads, no server calls. Just paste or load your file, and your decoded data appears instantly.
Example:
Before:
name%2Cemail%0AJohn%20Doe%2Cjohn%40example.com%0AJane%20Smith%2Cjane%40example.net
After:
name,email
John Doe,[email protected]
Jane Smith,[email protected]
Common Use Cases:
If you’ve ever pulled down a URL-encoded string from an API, a query string, or a log file, this is the fastest way to get the original CSV back. It helps decode exported form data, analytics pipelines, or encoded clipboard transfers all without external tools.
Useful Tools & Suggestions:
If you’re unsure what’s encoded, Analyze CSV can help you spot columns full of URL gibberish. And after decoding, run Trim CSV Columns to clean up any lingering padding or artifacts.