Check your data quality in under a minute
Drop a CSV and get a score, a column-by-column breakdown and the exact cells that need fixing. No account to start, and the file never leaves your browser.
Upload a file
No file to hand? .
Compare two files or check several at once
Compare two versions
Select the old and new file together. Shows added, removed and retyped columns and the score change per column.
Batch analysis
Up to 10 files, checked one after another. You get a score table.
Questions
What is a data quality report?
A summary of how trustworthy a table is. Every cell is counted as valid, invalid or missing, so you get one overall percentage, a percentage for each column, and a list of the cells that need attention.
Do I need to sign up?
No. Upload a file and the whole report appears. You can export it as PDF or JSON without an account. A short form unlocks the full row-by-row grid and the complete issue list, and signing up to Orbitly is optional.
Which file formats work?
CSV and TSV files up to 20 MB, with the column names in the first row. Excel (.xlsx) sheets and JSON arrays of records also work. Delimiter, text encoding and quoting are detected automatically.
Is my data private?
The file is read and checked inside your browser. It is not sent to a server unless you choose "Open in Analytics", which asks first and keeps an encrypted copy for 24 hours. Usage counts never include column names or values.
Can I export the results?
Yes. Export a PDF (print to PDF), a JSON file with the totals and per-column breakdown, the issue list as CSV, a ruleset, or a cleaned copy of your file with a change log. Row values are only included if you ask for examples.
Which checks run?
Missing values (empty cells and placeholders such as N/A), invalid values for each column type, duplicate rows and repeated IDs, outliers in numbers and dates, mixed formats and spellings, and personal-data columns. The score counts valid, invalid and missing cells; duplicates and outliers are reported but do not lower it.