Separate the dependencies#
A downloaded and ready speech model supports local recognition. Optional text refinement requires its configured service and login. Sending and following an AI task depends on the host task environment rather than the transcription engine alone.
If the network is unavailable, a locally produced draft may still be useful, but that does not establish successful task delivery. Retain the draft and verify receipt when the environment is available.
Test only what you need#
To assess local recognition, use a non-sensitive sentence and confirm draft creation. To assess sending, check the original conversation. To assess refinement, compare raw and revised text with the service actually active.
Do not summarize the entire product as “fully offline” from one local stage. Equally, a service-refinement failure should not imply that raw transcription requires that service. Clear stage-specific documentation helps you choose the mode appropriate for the task and understand what a connection failure affects.