Text remains the main way of working with most AI assistants, but it is not always the most practical: on the shop floor, with your hands full or on the move, typing a detailed message can be awkward or simply slow. Speech recognition offers an alternative in those settings.
Where voice beats typing
Describing a product's characteristics aloud while on site, dictating a quick note about a customer straight after a call, asking a question with your hands occupied: these are situations where voice reduces friction compared with typing, without interrupting what you are doing.
The current limits of speech recognition
Recognition quality depends on background noise — a real problem in a workshop — and on trade-specific terms, which a general system can misread unless it is calibrated on the right vocabulary. It is not yet reliable in every condition.
A complement, not a replacement
Voice works best alongside text rather than instead of it: for quick, informal input it is convenient, while for precise data needing verification — figures, exact dimensions — a visual confirmation of the transcribed text is still preferable before acting on it.