Recording, transcription & languages
How this is scored
How the conversation gets in and how faithfully it is written down: a bot that joins Zoom, Microsoft Teams, Google Meet and Webex, botless capture from a desktop or mobile app, in-person meetings and phone calls, file upload, live transcription, speaker identification and names, the languages supported with German stated, meetings that switch language, custom vocabulary for names and jargon, timestamps linked to the recording, and editing of the transcript.
0 — Does not record or transcribe meetings; a note template or agenda tool without capture.
3 — A bot that joins one or two conferencing tools and produces a transcript; languages, speaker names, in-person capture and accuracy are basic or not described.
5 — A bot for Zoom, Teams and Google Meet, a desktop or mobile app for in-person meetings, file upload, speaker identification, German among the supported languages, timestamps linked to the recording, and an editable transcript.
8 — Botless capture documented next to the bot, Webex and phone or dialer calls, live transcription, mixed-language meetings handled, custom vocabulary, speaker names learned across meetings, and the transcription engine or its accuracy per language stated.
10 — Capture a regulated team relies on: every channel above with accuracy published per language and method, dialects and specialist vocabulary documented, on-device or customer-hosted transcription as an option, and how errors are corrected and fed back stated.
The Management Consultant
Bot and botless capture sit side by side: the desktop app records system audio with no bot in the room, auto-detects calls on Zoom, Meet, Teams, WhatsApp and phone calls, and the transcript is editable in the web dashboard afterwards, with mobile apps for in-person conversation and file upload on top. Multi-Language Mode (beta) covers meetings that switch language and a hundred-plus languages are claimed, but we found no public information naming German among them, botless recording labels speakers only as Speaker 1 and 2, and we found no public information on custom vocabulary for client names — accuracy is one overall 95% figure with nothing per language. 1 7 13 14