A table-processing tool for AI agents and people. Drop a file, get a clean table. Or call the cleaning API directly.
Data Cleaner takes a messy table and returns a clean one. It infers the type of every column, such as date, number, currency, address or free text, and rewrites each cell in a canonical form, keeping a status per cell so that nothing is changed silently. The same engine answers over a REST API, one value or one column at a time, so a script, a spreadsheet or an agent can use it without the browser.
Drag a CSV or Excel file onto the page. The columns are typed, the cells are cleaned, and the result is shown as a table you can inspect, correct and download.
Every endpoint lives under https://data-cleaner.com/clean/v1. Send a value or a column, get JSON back. No key is needed to start; a key lifts the per-request limit and unlocks the datetime endpoints. The OpenAPI document at https://data-cleaner.com/clean/v1/openapi.json is the reference.
curl -G https://data-cleaner.com/clean/v1/value --data-urlencode "value=1.1.2024"| Method | Path | What it does | Key |
|---|---|---|---|
| POST | https://data-cleaner.com/clean/v1/column | Clean a column of values | optional |
| GET | https://data-cleaner.com/clean/v1/value | Clean one value | optional |
| GET | https://data-cleaner.com/clean/v1/type | Infer the type of one value without cleaning it | optional |
| POST | https://data-cleaner.com/clean/v1/types | Infer the common type of an array of values without cleaning them | optional |
| GET | https://data-cleaner.com/clean/v1/datetime | Clean one datetime string | required |
| POST | https://data-cleaner.com/clean/v1/datetime | Clean a column of datetime strings | required |
| GET | https://data-cleaner.com/clean/v1/health | Liveness: this process is up | none |
| GET | https://data-cleaner.com/clean/v1/info | The two caps, the accepted entity hints and the auth scheme | none |