Data Cleaner & Normalizer Workbench
BETAStart by uploading your data
Sign In to Secure Your Workspace
For your privacy, every file is processed in a secure, private session. Sign in to upload your file and enrich it with contextual data.
AI Data Cleaning: From Messy to Mission-Ready
BETADon't let data quality issues undermine your analysis. Our AI assistant scans your entire dataset for common errors and provides a simple, interactive dashboard to help you clean and standardize your data with confidence.
Your Interactive Data Quality Co-Pilot
A single typo, an extra space, or an inconsistent category name can break your entire analysis. Manually finding these errors in a large spreadsheet is a nightmare. Datum Fuse automates the detection process.
Our AI generates a clear, actionable report of all potential issues, from mixed-up casing and data types to semantically similar categories like "USA" and "United States". You review the suggestions, accept the changes you want, and apply them all at once.
A Smarter Way to Clean Your Data
AI-Powered Standardization
Go beyond simple find-and-replace. Our AI understands that 'Ltd.' and 'Limited' are the same, and can group dozens of variations of a category under a single, standard name, saving you hours of manual work.
Comprehensive Quality Checks
We automatically scan for a wide range of issues: leading/trailing whitespace, inconsistent capitalization, mixed numeric/text columns, empty columns, and more. Get a complete data quality overview in seconds.
Full User Control
Our AI suggests, but you're always in the driver's seat. Review every proposed change in our interactive dashboard, see examples of affected data, and only apply the fixes you approve. No black-box automation.
From Messy Data to Flawless Datasets, Automatically
Stop wasting hours on manual data cleaning. Datum Fuse's AI assistant finds and helps you fix inconsistent formatting, typos, mixed data types, and more with just a few clicks.
Why Clean Data is Critical
Inconsistent data leads to failed joins, inaccurate reports, and flawed analysis. Manually finding and fixing typos, mixed casing, and varied formats across thousands of rows is tedious and error-prone.
Our AI Data Normalization service automates this entire workflow, turning a frustrating task into a simple, guided experience, ensuring your data is reliable and ready for analysis.
A Comprehensive Suite of AI-Powered Cleaning Tools
Categorical Standardization
Unify "NY", "N.Y.", and "New York"
Our AI understands semantic context, finding and grouping variations of the same category. It intelligently handles typos, abbreviations, synonyms, and formatting differences.
Casing & Whitespace
Fix "Apple", "apple", and " Apple "
Instantly detect and correct inconsistent capitalization and pesky leading/trailing spaces that break filters and joins, with options to convert to UPPERCASE, lowercase, or Title Case.
Mixed Data Type Repair
Clean up columns with numbers and text
Identifies columns that are mostly numeric but contain stray text values like "N/A" or "-". You can choose to convert the entire column to a clean numeric type or keep it as text.
More Than Automation — It’s a Cleaning Co-Pilot
Smart Batch Suggestions
Our AI scans your entire dataset at once and presents a comprehensive dashboard of all potential quality issues, grouped by column.
You Are in Control
Datum Fuse suggests, you decide. Review every proposed change, see examples of affected data, and accept or ignore suggestions with a click. No "black box" cleaning.
Empty Column Detection
Automatically flags columns that are completely or mostly empty, allowing you to quickly remove them and reduce clutter in your dataset.
Coming Soon to the Data Cleaning Suite
Ensure values in a column match a specific format (e.g., email, phone number, custom regex) and flag non-compliant entries.
Go beyond simple min/max. Our AI will use statistical methods (like Z-score or IQR) to identify potential outliers that could skew your analysis.
Save your accepted cleaning rules for a dataset and have them automatically applied to new data during our hourly syncs (Pro Feature).
Frequently Asked Questions
1) How does the AI know what cleaning suggestions to make?
Our system uses a hybrid approach. First, it uses a series of high-speed heuristic algorithms to find predictable issues. Then, for more complex issues columns, it uses a powerful Large Language Model (LLM) to analyze the semantic meaning of your data to find and suggest fixes for complex issues.
2) Do I have to accept all the AI's suggestions?
No, you are always in complete control. Our interactive dashboard is designed for you to review every suggestion. You can see examples of the data that will be changed and choose to accept or ignore each fix individually. We believe in "AI-assist," not "AI-only," so you always have the final say.
3) Does this modify my original file?
Never. Your original uploaded file remains untouched. After you apply your chosen cleaning rules, we generate a brand new, cleaned CSV file for you to download or use in our other tools. This ensures your source data is always preserved.
4) How is my data privacy protected during AI analysis?
Protecting your data is our top priority. We only send the minimum necessary information (a list of unique values from a single column) to our AI provider (AWS Bedrock) to generate standardization suggestions. We have a strict policy against using any of your data to train third-party models. For more details, please see our Privacy Policy.
Ready to trust your data again?
Clean and standardize your entire dataset in minutes, not hours.
