# ADR 0002: Use faster-whisper for Transcription

## Status

Accepted

## Context

The project requires high-quality speech-to-text transcription for German and English meetings.

The transcription component should support local execution where practical and should remain replaceable in the future. The project should not depend on a meeting bot or on a proprietary meeting platform.

## Decision

The project will use `faster-whisper` as the initial transcription engine.

The preferred first model is `large-v3-turbo`, with `large-v3` as quality-oriented fallback if required.

## Consequences

- Transcription can run locally on suitable hardware.
- NVIDIA CUDA acceleration can be used later on an office AI PC.
- The transcription module must hide the concrete engine behind an internal interface.
- Model name, language setting, timestamp and engine version should be stored with every transcript.
- The decision can be revisited if another engine provides clearly better quality, speed or deployment characteristics.