🚀 Open Beta launches 31 July 2026 — free, no invite needed Learn More →
DataQA
DATA QUALITY · SIMPLIFIED
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Data Quality Tool

Your data
has issues.
Find them in
seconds.

Upload any CSV or Excel file. Get an instant quality grade, AI-powered fixes, and a clean export — without touching a formula or writing a line of code.

Open Beta — 31 July → See How It Works
No credit card No install Works in browser
⬆ Upload CSV or Excel  ·  🔍 Instant QA grade  ·  ⚡ AI auto-fix  ·  ✓ Export clean data  ·  🎉 Free tier available  ·  Your own output templates  ·  Your own QA rules  ·  Works in your browser  ·  ⬆ Upload CSV or Excel  ·  🔍 Instant QA grade  ·  ⚡ AI auto-fix  ·  ✓ Export clean data  ·  🎉 Free tier available  ·  Your own output templates  ·  Your own QA rules  ·  Works in your browser  · 
// workflow

Three steps.
One clean file.

No pipeline to build. No SQL to write. Drop a file and DataQA does the rest.

01
⬆
Upload your file
Drop a CSV, Excel, PDF or Word document. DataQA parses it instantly and kicks off a full quality scan — no configuration needed.
02
🔍
Get your grade
Receive an A–F score report with a full breakdown: blank cells, duplicates, spelling errors, extra spaces, and your own custom rules. Every issue is highlighted in the grid.
03
✓
Fix and export
Let AI fix everything in one click, or review manually. Approve and download in the same format, or map to your own output template.
// detection

Every issue caught
and colour-coded.

customer_data_Q4.csv
#NameEmailCompany
1Sarah Johnsonsarah@acme.comAcme Corp
2 Tom Williamstom@globex.comGlobx Inc
3Maria GarciaemptyInitech
4Tom Williamstom@globex.comGlobx Inc
5James Liujames@umbrella.ioUmbrella Co
6Anna  Petrovanna@cyber.com  Cyberdyne
🔴
Blank cells
Missing values that silently break imports, reports, and downstream tools. Flagged instantly.
🟠
Duplicate rows
Exact row duplicates that inflate your counts and skew analytics. One click removes them all.
🟣
Spelling errors
70+ business and everyday misspellings detected, with AI-powered corrections applied automatically.
🟡
Extra whitespace
Leading, trailing and double spaces that break lookups and filters in every tool you use.
🔵
Your custom rules
Required fields, regex formats, max lengths — your rules, your way, running every time.
// the real cost of bad data

Your team is spending hours on work a machine can do in seconds.

Data cleaning is the most time-consuming part of any analytics or ops workflow. Every hour your team spends manually checking spreadsheets is an hour they're not doing the work that actually moves the needle. DataQA gives that time back.

30%
of work time lost
McKinsey found data teams spend up to 30% of their time cleaning and processing data before they can use it.
4 hrs
saved per file
What takes a person 4 hours to manually QA — finding blanks, fixing spelling, removing dupes — DataQA does in under 60 seconds.
$50k+
annual salary equivalent
A team member spending 1 day/week on data cleanup costs you $10–50k/year in wasted payroll. DataQA handles it automatically.
1 min
from upload to clean file
Upload, scan, auto-fix, approve, download. The entire workflow — for a file that might have taken half a day to clean by hand.
// your rules. your formats.

Built around the way
you actually work.

DataQA isn't a one-size-fits-all linter. It adapts to your data, your column structure, and your delivery requirements.

⚙
Your own QA rules
Define exactly what "clean" means for your data. Add required fields, regex format validators, and max character limits — per column. Your rules run alongside the standard checks every single time you scan a file, automatically.
Email column is required — flag if blank
Phone must match format: ^\+?[\d\s\-()]{7,15}$
Product code max 12 characters
Status field must not be empty
📐
Your own output templates
Upload a blank CSV template with one example row and DataQA saves it. When you export a cleaned file, it maps your data to your template automatically — so it always lands in exactly the format your client, CRM, or system expects.
client_import_template.csv saved
crm_contacts_format.csv saved
warehouse_upload_spec.csv saved
Export → maps to selected template automatically
// full feature set

Everything you need.
Nothing you don't.

⚡
AI Auto-Fix
One click fixes all detected issues. Analyses your data in context and applies smart corrections — not dumb find-replace.
💬
AI Chat Assistant
"Fix all blank email cells." "Remove duplicates." "Trim spaces in Name column." It does it and highlights every change.
That's me! I'm B — and you can ask me anything about your data. 👋
B — AI Assistant
🎨
Cell-Level Highlights
Every issue type gets its own colour in the grid. Click any issue in the list to jump directly to that cell.
↩
30-Step Undo
Every edit is tracked. Experiment freely without fear. Revert one step or all the way back to the original.
⚡
Bulk Fix by Type
Filter issues by type and fix them all at once. Remove all duplicates, trim all spaces, correct all spelling — one click per category.
🗂
Large File Support
Files up to 10,000+ rows with smooth pagination. No freezing, no crashes — just fast, clean data processing.
// comparison

The only tool built
for non-technical users.

Enterprise tools cost $4,950/user/year and require a data engineering team. OpenRefine is free but technical. DataQA fills the gap.

Feature ◈ DataQA RowTidy OpenRefine Alteryx
Instant QA score & grade ✓ A–F grade ✗✗✗
AI-powered auto-fix ✓ ✓✗✓
AI chat assistant ✓ ✗✗✗
Your own output templates ✓ Save unlimited ✗✗✗
Your own QA rules ✓ Per column ✗Limited✓
Non-technical friendly ✓ No-code ✓✗ Technical✗ Technical
Free tier ✓ Free & paid tiers ✗ No✓ Open source✗
Works in browser ✓ ✓✗ Desktop only✓
// early access

Be first to clean
data the smart way.

DataQA is launching soon. Join the waitlist and be first in line for access when we open the doors.

Early access before public launch
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