Launched this week
MapMyCSV
Make any CSV fit any import template
8 followers
Make any CSV fit any import template
8 followers
Your CSV export never matches the template your CRM, accounting tool, ERP, or database expects — wrong headers, column order, date formats. MapMyCSV remaps any messy CSV to the exact target template, entirely in your browser. Your data never leaves your machine. Auto column matching, manual fixes, date/amount normalization, row-level validation. Free preview of the first 10 mapped rows; $29 one-time unlocks full export. No account. Try the built-in sample data — no file needed.






A mapping tool that lives in the browser is genuinely useful, especially the local-only angle. One thing that would save me a lot of time is letting me save and reuse mapping profiles for recurring imports, since the same messy export shows up every month from the same vendor. Right now it looks like I'd have to reconfigure the columns from scratch each time.
@kaanyir0 Saved mapping profiles is the #1 thing on my list — you’re exactly right that the same vendor sends the same mess every month, and reconfiguring each time defeats the point. It didn’t make v1 because I wanted to nail the core mapping first, but it’s coming. Out of curiosity, roughly how many different vendor formats do you deal with monthly? Trying to figure out whether people need 2-3 saved profiles or 20.
Finally something that actually fixes the date format headaches without uploading customer data anywhere. The auto column matching nailed most of my messy export on the first pass.
@sava8sc0 That’s great to hear - the date normalization was honestly the fiddliest part to build, so “nailed most of it first pass” is the review I wanted. If you hit an export it doesn’t handle, I genuinely want to see the format (not the data) - ugly real-world CSVs are how it gets better.
Tried it with a gnarly date format and it handled it on the first auto-match, which honestly surprised me. The local-only processing is a nice touch for anyone wary of uploading customer data.
@glhanaydnerudc “Honestly surprised me” is the reaction I was hoping for 😄 The local-only processing started as an architecture choice and turned out to be the thing everyone cares most about - nobody wants customer data on some random converter’s server. Thanks for actually putting a gnarly file through it.