
YieldStack
CBRE Group
Jones Lang LaSalle
Online platform for commercial real estate loans

Online Comma Separator Tool
csvkit
CSVTool.io
28 free CSV and Excel tools. Nothing is ever uploaded.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | stacksource.com | csvtidy.com |
| Pricing | — | |
| Company | — | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of StackSource yet.
CSVTidy is a free collection of 28 tools for cleaning and converting CSV and Excel files. It handles the usual spreadsheet mess — duplicate rows, inconsistent date formats, full names that need splitting, phone numbers in five different shapes, stray whitespace, broken encodings — plus format...
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of CSVTidy yet.
Walkthroughs and reviews on video.
New StackSource Lender Interface
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing StackSource and CSVTidy.
CSVTidy's answer:
Every other online CSV tool asks you to upload your file to their server. CSVTidy does the work in your browser — the file never leaves your machine. That means you can clean spreadsheets with customer data, salaries, or medical records without sending them to a stranger's server, and there's no file size limit imposed by an upload.
CSVTidy's answer:
Three reasons: nothing is uploaded, there's no signup, and all 28 tools are real working transforms rather than previews that ask you to pay before you see the result. You can verify the privacy claim yourself — open your browser's network tab and watch that no request is made when you load a file.
CSVTidy's answer:
Anyone who regularly receives messy spreadsheets from someone else: operations and finance people, analysts, CRM and marketing admins, and developers who need a quick CSV to JSON or SQL conversion without writing a script. It's aimed at people who know exactly what's wrong with their file and just want it fixed.
CSVTidy's answer:
It started from repeatedly needing to clean the same kinds of messy exports — duplicate rows, five different date formats in one column, names that needed splitting — and being unwilling to upload files containing real customer data to a random converter site. Doing it in the browser removes that trade-off entirely.
CSVTidy's answer:
Next.js and TypeScript, with Papa Parse for CSV parsing and SheetJS for Excel files. All processing runs client-side in the browser — there is no backend that touches user files.
Share your experience with using StackSource and CSVTidy. For example, how are they different and which one is better?
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