Local by default
Small conversion jobs do not need a source-file upload. Browser processing creates a clearer privacy boundary and keeps the tools useful without accounts or cloud drafts.
DataFormatKit is a focused set of browser-based data tools for people who want to see what will change before they download the result.
DataFormatKit keeps the review step between input and download visible, so you can confirm the detected structure, understand the choices being made, and catch risky values before creating a file.
Small conversion jobs do not need a source-file upload. Browser processing creates a clearer privacy boundary and keeps the tools useful without accounts or cloud drafts.
Delimited text needs row-shape checks. JSON needs number and nested-array handling. XML needs record-node and entity boundaries. Each converter explains the choices that belong to its format.
A success message says very little on its own. A preview, categorized issues, and a transformation report give you something concrete to review.
Each tool is built around the decisions and failure cases of one specific data task.
Turn delimited text or line-by-line lists into a checked CSV.
Open tool →02Locate structural warnings and spreadsheet-sensitive values before import.
Open tool →03Create an XLSX workbook while keeping every source value as text.
Open tool →04Choose records, flatten nested fields, and preserve long identifiers.
Open tool →05Flatten JSON into rows with explicit array and blank-value handling.
Open tool →06Choose repeating records and keep attributes and namespaces visible.
Open tool →Focused by design. DataFormatKit is for small, inspectable conversion jobs—not database migration, cloud storage, or collaborative spreadsheet editing. Current processing limits keep the work predictable inside a browser.
Use the Text to CSV converter now, or tell me which small conversion problem would be most useful to solve next.