A model is not the whole workflow
OpenAI Whisper is an open-source speech recognition model with tools for transcribing audio. It can be useful when you want control over a transcription pipeline. A desktop dictation app adds the surrounding experience: a shortcut, microphone handling, text insertion and a place to find previous results.
Whisper and Wispr Flow are different names for different products. Dicteit is another desktop application, not a distribution of Whisper.
Choose by what you need to do
If you want to experiment with models or process audio in your own software, explore Whisper’s documentation and its hardware requirements. If you want to write an email by speaking into the app you already use, evaluate a complete dictation tool.
For meetings, transcription is only one part of the job. Audio capture, speaker review, summaries and sharing also need a workflow. Do not assume a speech recognition model provides all of those by itself.
Be precise about offline use
Running a model on your own computer and using a hosted transcription service are different deployment choices. Check where audio is processed in the actual tool you install.
Dicteit requires an internet connection for transcription and generated notes. It is not an offline alternative to a local Whisper setup. Choose it for an integrated writing and session-notes workflow, not for a promise of local-only processing.