Whisper: complete definition in AI for SMEs

Whisper is an open-source speech transcription model developed by OpenAI that converts audio (meeting, call, dictation, video) into text in many languages. It handles multiple accents, background noise and even multilingual excerpts in the same recording. It runs locally (open source) or via a cloud API.

What it changes for an SME

Whisper is the entry point for meeting analysis and audio content workflows:

• Meetings: record a meeting → automatic transcription → LLM summary → actions sent to the CRM;
• Support: transcribing customer calls to detect recurring topics and measure satisfaction;
• Content: converting a conference recording or customer audio into an article, report or summary sheet.

Combined with ElevenLabs for synthesis, Whisper covers the full "listen → understand → produce" cycle.

What you should know

Whisper is open source and can run on an internal server, which is useful when conversations are confidential. Transcription quality depends on audio quality and voice clarity. In fractional AI leadership, we integrate it into audio pipelines as soon as an SME handles recorded content.