Create an application that converts a spreadsheet's column structure into a polished, user-friendly data-entry form specification.
The user can upload an Excel or CSV file, or manually define columns and sample records.
Analyze each field to recommend:
Appropriate input controls, such as dates, dropdowns, currency, email, quantities, and long text.
Required versus optional fields, with explanations based on the available evidence.
Validation rules, including numeric ranges, unique identifiers, date dependencies, and allowed values.
Conditional fields that appear only when a related answer meets a defined condition.
Sensible field grouping, labels, help text, and error messages.
Duplicate detection and record-level consistency checks.
Provide a live form preview, editable rules, a schema view, and a test mode where users can enter deliberately invalid data to verify the validation behavior.
Allow export of the form specification as JSON and generate implementation-ready HTML, JavaScript, or React code.
Never silently discard original columns or data. Mark inferred rules as suggestions requiring confirmation, preserve source-to-field mappings, and warn about ambiguous column meanings. Include tests for required fields, malformed values, duplicate entries, and conditional logic.
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