Built a small tool to prevent CSV & Excel import failures (would love feedback)
I kept running into the same frustrating issue while working with CRM imports — CSV or Excel files failing because of small structural errors, encoding issues, or unexpected formatting problems.
So I built a small tool called CleanlyLoad.
It validates and cleans CSV & Excel files before you upload them to your CRM or database.
What it does:
• Detects structural errors early
• Handles large files (up to 100MB) using stream-based processing
• No file storage (files aren’t saved)
• Simple, no-dashboard experience
It’s completely free right now.
I’m trying to understand:
• Is this a real pain point for others?
• Would you use something like this regularly?
• What features would make it more useful?
Would genuinely appreciate honest feedback — especially from people working with Salesforce, HubSpot, Zoho, or large data imports.
Link: https://cleanlyload.pages.dev/
Not trying to hard sell — just validating whether this solves a meaningful problem.
Thanks
This is definitely a real pain point. I work with bank transaction CSVs a lot (building tools for small business bookkeeping) and the encoding/formatting issues are the bane of my existence. Every bank exports CSVs slightly differently — some use semicolons, some have BOM markers, some wrap amounts in quotes with currency symbols baked in.
The structural validation before import is smart. Most people discover their CSV is broken halfway through an import into QuickBooks or a database, and then they're stuck manually fixing rows in Excel.
Curious about your detection logic — are you catching things like mixed delimiters within a single file? That's one I run into surprisingly often with bank exports where some rows use commas and others use tabs.
Appreciate this — bank CSVs are definitely messy.
Right now I catch encoding/BOM issues, malformed quotes, and inconsistent row lengths. Mixed delimiters are tricky but I’m working on flagging those too.
Would love to test with real samples if you’re open. Thanks! 🙏