Guide the user toward valid values
Autocomplete reduces typing effort and lowers lookup mistakes when the suggestions are relevant.
Autocomplete Component
Use the Autocomplete component to narrow suggestions as users type while keeping the selected value predictable.
Introduction
Section titled “Introduction”Autocomplete helps users search and choose from likely matches without typing the full value every time. Its value is speed and error reduction, but only if the component makes a clear distinction between what users see, what they select, and what the application stores. In Wappler, that means designing the input around both suggestion quality and data integrity.
Keep the stored value predictable
The chosen record or value should stay unambiguous even when labels look similar.
Think about both suggestion quality and stored-value accuracy.
Keep display labels and saved identifiers clearly separated.
Design for loading, empty, and no-match states instead of only the happy path.
Use autocomplete when users benefit from lookup guidance, not as decoration for simple text fields.
Design the lookup experience carefully
Section titled “Design the lookup experience carefully”The component feels simple only when the suggestion model is honest and predictable.
Separate label from stored value
Section titled “Separate label from stored value”Users often need a friendly label while the application needs an id or canonical value. Treat those as two related parts of one choice instead of one text string doing everything.
Safer persistence
Saving a stable identifier avoids ambiguity when labels change or repeat.
Keep the suggestion source clear
Section titled “Keep the suggestion source clear”Autocomplete is more trustworthy when users understand what is being searched. Suggestions should match a sensible dataset and return the kinds of results the field implies.
Relevant results
Users should not have to guess why a certain class of suggestions appears.
Plan for empty and loading states
Section titled “Plan for empty and loading states”Typing ahead often reveals latency or no-match cases. Good autocomplete design makes those states obvious so users do not mistake silence for failure.
Visible state changes
Loading and no-result states are part of the real interaction, not edge cases.
Next steps
Section titled “Next steps”Autocomplete sits well beside richer editors and token inputs because all three ask the same design question: how much help should the field give while keeping the stored value clean?