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 Works Council Chair
A bot joins Teams, Zoom, Google Meet and Webex, Windows and macOS recorders capture meetings and calls locally with no bot, and in-person recording plus upload of many audio and video formats are documented alongside over a hundred languages with automatic detection, language switching within a meeting, dialect training, custom vocabulary, speaker labels, timestamps and an editable transcript. Accuracy is published as up to 90.3, 94.1 and 98.8 percent depending on plan, and an on-premises option with the vendor's own language model exists. We found no public information on accuracy per language, live transcription, or how transcription errors are corrected and fed back. 3 5 6 10 11 12