FAL.ai Wizper Speech-to-Text and Translation Plugin

High-quality real-time Speech-to-Text (STT) and translation for Stream, powered by FAL.ai Wizper.

Installation

pip install getstream-plugins-fal

Quick start

from getstream.plugins.fal import FalWizperSTT

# 1. Pure transcription (default)
stt = FalWizperSTT()

# 2. Translation to Spanish ("es")
stt = FalWizperSTT(target_language="es")

@stt.on("transcript")
async def on_transcript(text: str, user: dict, metadata: dict):
    print(f"{user['name']} said → {text}")

# Send Stream PCM audio frames to the plugin
await stt.process_audio(pcm_data)

# Close when finished
await stt.close()

The plugin emits the standard Stream STT events:

• transcript – final, high-confidence text
• error – if Wizper returns a failure

Configuration options

Requirements

• Python 3.10+

Why Wizper?

Wizper is FAL.ai’s hosted version of Whisper v3 that streams results in real-time. This means you get:

• Accurate multilingual transcription out-of-the-box
• Fast first-word latency suitable for live calls
• Optional on-the-fly translation to 100+ languages