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Local Vosk

Local speech-to-text using Vosk.

Rating: 4.2 (149 reviews)
Downloads: 15,950 downloads
Version: 1.0.0

Overview

Local speech-to-text using Vosk.

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Local Vosk STT

Lightweight local speech-to-text using Vosk. Fully offline after model download.

Use Cases

Telegram voice messages — transcribe .ogg voice notes automatically
Audio files — any format ffmpeg supports
Offline transcription — no API keys, no cloud, no costs

Quick Start

bash

# Transcribe Telegram voice message
./skills/local-vosk/scripts/transcribe voice_message.ogg

# Transcribe any audio
./skills/local-vosk/scripts/transcribe audio.mp3

# With language (default: en-us)
./skills/local-vosk/scripts/transcribe audio.wav --lang en-us

Supported Formats

Any format ffmpeg can decode: ogg (Telegram), mp3, wav, m4a, webm, flac, etc.

Models

Default model: vosk-model-small-en-us-0.15 (~40MB)

Other models available at https://alphacephei.com/vosk/models

Setup (if not installed)

bash

pip3 install vosk --user --break-system-packages

# Download model
mkdir -p ~/vosk-models && cd ~/vosk-models
wget https://alphacephei.com/vosk/models/vosk-model-small-en-us-0.15.zip
unzip vosk-model-small-en-us-0.15.zip

Notes

Quality is good for conversational speech
For higher accuracy, use larger models or faster-whisper
Processes audio at ~10x realtime on typical hardware
Telegram voice messages are .ogg format — works out of the box

Installation

Terminal bash


openclaw install local-vosk

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💻Code Examples

./skills/local-vosk/scripts/transcribe audio.wav --lang en-us

skillslocal-voskscriptstranscribe-audiowav---lang-en-us.txt

## Supported Formats

Any format ffmpeg can decode: **ogg** (Telegram), mp3, wav, m4a, webm, flac, etc.

## Models

Default model: `vosk-model-small-en-us-0.15` (~40MB)

Other models available at https://alphacephei.com/vosk/models

## Setup (if not installed)

example.sh

# Transcribe Telegram voice message
./skills/local-vosk/scripts/transcribe voice_message.ogg

# Transcribe any audio
./skills/local-vosk/scripts/transcribe audio.mp3

# With language (default: en-us)
./skills/local-vosk/scripts/transcribe audio.wav --lang en-us

example.sh

pip3 install vosk --user --break-system-packages

# Download model
mkdir -p ~/vosk-models && cd ~/vosk-models
wget https://alphacephei.com/vosk/models/vosk-model-small-en-us-0.15.zip
unzip vosk-model-small-en-us-0.15.zip