CorePulse is an AI-powered data quality platform that helps you detect duplicates, missing values, inconsistent formatting, and other data quality issues in Excel and CSV files. Simply upload your dataset, receive an intelligent analysis in seconds, review detailed insights, and export cleaner, more reliable data. Built for analysts, businesses, researchers, and anyone who depends on accurate data. ⚠️ CorePulse can make mistakes. Please verify important results. Beta Stage
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Maker
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## 💡 Why I Built CorePulse
CorePulse wasn't created from a business plan—it started with a personal frustration.
I regularly use AI to learn, research, summarize PDFs, and solve problems. As my projects became larger, I often hit free usage limits or found that advanced spreadsheet analysis required a paid subscription. Analyzing large Excel and CSV files wasn't always accessible.
That experience made me wonder:
**Why should powerful data analysis be difficult to access?**
So I started building CorePulse.
My goal is simple: make AI-powered data quality analysis available to everyone. Upload an Excel or CSV file, detect duplicates, identify missing values, uncover quality issues, and get actionable insights in seconds.
CorePulse is still in beta, and there's a long road ahead. Every bug report, suggestion, and piece of feedback helps shape the product into something better.
If CorePulse saves you even a few minutes or helps you clean a difficult dataset, then the effort behind building it has been worthwhile.
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🚧 Beta Notice
CorePulse is currently in beta. AI can make mistakes, so please verify important results before relying on them. Your feedback will directly help improve the platform.
⚠️ Note about the demo
CorePulse is currently hosted on free-tier infrastructure.
If the server has been inactive, it may take a short time to wake up. If you see a server unavailable message, simply click Retry a few times (usually 4–5 clicks or a short wait) while the backend starts up.
Thank you for giving it a try. ❤️
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Uploaded a messy CSV with inconsistent date formats and it caught every issue within seconds, the breakdown by column was super helpful for cleaning things up.
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Uploaded a messy csv with about 8,000 rows and the duplicate detection caught inconsistencies I had missed manually. The export to a cleaned file saved me a good chunk of time on a small client project.
Uploaded a messy CSV with inconsistent date formats and it caught every issue within seconds, the breakdown by column was super helpful for cleaning things up.
Uploaded a messy csv with about 8,000 rows and the duplicate detection caught inconsistencies I had missed manually. The export to a cleaned file saved me a good chunk of time on a small client project.