ElevenLabs Releases Speech to Text Integration Tutorial for Python

ElevenLabs has released a Speech to Text solution integration tutorial for Python developers via ElevenAPI. This guide covers how to simplify the complex audio preprocessing and model integration processes of speech recognition SDKs using the Scribe v2 and Scribe v2 Realtime models.

Key Features and Models

Scribe v2 is a model optimized for large-scale batch transcription, supporting speaker diarization, word-level timestamps, multilingual support, and keyterm prompting capabilities. It detects phonemes with high accuracy even in noisy environments. Scribe v2 Realtime adopts a WebSocket-based streaming architecture to perform real-time transcription with latency under 150ms.

Development Environment and Usage

Developers can install the SDK using the pip install elevenlabs command and manage API keys via environment variables to ensure security. Additionally, adding ElevenLabs skills to AI coding assistants such as Claude Code and Cursor allows for the automatic generation of accurate Python code based on official documentation. Scribe v2 supports up to 1,000 keyterms, while Scribe v2 Realtime supports up to 50, enhancing transcription accuracy for specialized terminology.