u/Fit_Statistician2649

Frage in die Runde: was nutzt ihr aktuell zum Diktieren am Mac, jetzt wo Dragon Medical immer absurder bepreist wird (mehrere tausend Euro im Jahr) und Apple-Diktat bei deutschen Fachbegriffen oft scheitert?

Mir geht es vor allem um Arztbriefe, Befunde und längere Anamnese-Dokumentation. Habe selbst kurz mit Wispr Flow und Superwhisper rumgespielt, aber bei deutscher medizinischer Terminologie wird das oft zur Katastrophe — "Thrombozytenaggregationshemmer" ist regelmäßig kaputt, und mit DSGVO-Bedenken bei Cloud-Audio kommt noch dazu.

Wer hat aktuell ein gutes Setup gefunden? Lokale Tools, Cloud-Lösungen, oder zurück zu Diktiergerät plus Schreibkraft?

Hot take, going to get pushback. Here goes.

I work on SpeakUp (Mac dictation, €29 once, on-device). So obviously biased. Most paid dictation apps now follow the same recipe — transcribe with Whisper, run an LLM "cleanup" pass that smooths filler words and tightens phrasing, charge $10-15/month. Wispr Flow, Superwhisper Pro, Spokenly, Dictura. All variants of this.

The thing is, AI cleanup is a downstream fix for an upstream problem. The actual pain isn't filler words. It's domain vocabulary. Doctors lose "Thrombozytenaggregationshemmer." Devs see "Hetzner" come out as "head sner" and "Pydantic" as "pie dentic." Lawyers retype case names. Cleanup doesn't help any of these — the wrong word is already in the transcription before the LLM sees it.

We took the other bet with SpeakUp. Lexicons that teach Whisper specific field vocab BEFORE transcription. 180,000 medical terms in German (ICD-10-GM + OPS). Italian medical. About 1,000 dev terms (Claude Code, Pydantic, Hetzner, Supabase, K8s, frameworks, cloud providers, the usual alphabet soup).

Result: about 15 more medical terms right per 100 dictated. About 4 more dev terms. Free, opt-in, on-device. No subscription. No cloud. No "AI" smoothing your words.

Anyone paying for an AI cleanup app — what's it actually cleaning up that the right vocabulary wouldn't have prevented?