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Home/Tasks/Converting speech to text in real-time/Vosk
Vosk logo

Vosk

Free
Vosk is praised for its offline capabilities and support for multiple languages. It's suitable for resource-constrained devices.

Vosk is an open-source speech recognition toolkit that enables accurate, offline speech-to-text conversion on various platforms and devices.

DeveloperFree pricingAPI availableUpdated 2026-04-01
Good for:Converting speech to text in real-timeEnabling offline speech recognition
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  • About
  • Quick Summary
  • Visual Preview
  • Main Tasks
  • Decision Summary
  • Key Features
  • Use Cases
  • How it works
  • Quick Start
  • Pros & Cons
  • FAQ
  • Similar Tools
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Editorial Note

Vosk is an open-source speech recognition toolkit that enables accurate, offline speech-to-text conversion on various platforms and devices.

About Vosk

Vosk is an open-source speech recognition toolkit designed for accurate and efficient speech-to-text conversion. It supports over 20 languages and dialects, making it versatile for global applications. Vosk distinguishes itself by operating offline, even on resource-constrained devices like Raspberry Pi, Android, and iOS, ensuring privacy and accessibility without relying on internet connectivity. The toolkit provides a streaming API, which enhances user experience compared to traditional speech recognition packages. Vosk offers bindings for multiple programming languages such as Java, C#, and JavaScript, facilitating integration into diverse projects. Its models, typically around 50MB, are optimized for portability and performance, while larger server models are available for more demanding applications. Vosk also supports quick vocabulary reconfiguration for improved accuracy and speaker identification alongside speech recognition.

Quick Summary

Vosk is an open-source speech recognition toolkit that enables accurate, offline speech-to-text conversion on various platforms and devices.

5-15 minutesSetup: medium
Offline Speech ProcessingAI & Machine Learning
Product Release Intel
Data Freshness
Checked Apr 1, 2026
Visual Preview

Quick visual proof for Vosk. Helps non-technical users understand the interface faster.

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Sources tracked: 3

Core Capabilities

Vosk is an open-source speech recognition toolkit designed for accurate and efficient speech-to-text conversion.

Main Tasks

Converting speech to text in real-time

Explore all tools that specialize in converting speech to text in real-time. This domain focus ensures Vosk delivers optimized results for this specific requirement.

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Enabling offline speech recognition

Explore all tools that specialize in enabling offline speech recognition. This domain focus ensures Vosk delivers optimized results for this specific requirement.

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Supporting multiple languages for speech recognition

Explore all tools that specialize in supporting multiple languages for speech recognition. This domain focus ensures Vosk delivers optimized results for this specific requirement.

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Adapting to different accents and dialects

Explore all tools that specialize in adapting to different accents and dialects. This domain focus ensures Vosk delivers optimized results for this specific requirement.

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Integrating speech recognition into mobile apps

Explore all tools that specialize in integrating speech recognition into mobile apps. This domain focus ensures Vosk delivers optimized results for this specific requirement.

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Implementing voice control in embedded systems

Explore all tools that specialize in implementing voice control in embedded systems. This domain focus ensures Vosk delivers optimized results for this specific requirement.

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Decision Summary

What this tool is best suited for

Best Fit
Offline Speech ProcessingAI & Machine Learning
Buying Signals
Freemium
API available
Web-first workflow
Setup And Compliance
More involved
7 onboarding steps
GDPR
Trust Signals
Pricing freshness unavailable
URL health not shown
Verification date unavailable
Compare And Alternatives

Shortlist Vosk against top options

Open side-by-side comparison first, then move to deeper alternatives guidance.

Compare nowView alternatives

Key Features

Offline Speech Recognition

Vosk operates entirely offline, processing speech directly on the device without sending data to remote servers.

Language Model Adaptation

Allows developers to adapt the language model to specific vocabularies and domains, improving accuracy for specialized use cases.

Streaming API

Provides a streaming API for real-time speech recognition, enabling low-latency transcription.

Speaker Identification

Supports speaker identification alongside speech recognition, allowing the system to identify who is speaking.

Cross-Platform Support

Vosk offers bindings for multiple programming languages and runs on various platforms, including desktop, mobile, and embedded systems.

Use Cases

Voice control for smart home devices

Enables hands-free control of smart home devices in offline environments.

VIEW EXECUTION STEPS
1.

Install Vosk on the device.

2.

Load the appropriate language model.

3.

Configure the device to listen for voice commands.

4.

Map voice commands to device actions.

Real-time transcription of lectures and meetings

Provides accurate and immediate transcripts of audio recordings for accessibility and note-taking.

VIEW EXECUTION STEPS
1.

Set up Vosk with a microphone input.

2.

Start recording the lecture or meeting audio.

3.

Use Vosk to transcribe the audio in real-time.

4.

Save the generated transcript for later review.

Integrating speech recognition into mobile apps for accessibility

Enables users with disabilities to interact with mobile apps using voice commands.

VIEW EXECUTION STEPS
1.

Include the Vosk library in the mobile app project.

2.

Request microphone permissions from the user.

3.

Implement voice input and processing using Vosk.

4.

Map voice commands to app functions.

Developing voice-based user interfaces for embedded systems

Provides a voice-driven interface for devices with limited or no screens.

VIEW EXECUTION STEPS
1.

Install Vosk on the embedded system.

2.

Configure the system's audio input.

3.

Design voice commands for device control.

4.

Implement the voice recognition and action mapping logic.

Creating automated subtitling for video content

Generates accurate subtitles for videos without manual transcription.

VIEW EXECUTION STEPS
1.

Extract audio from the video file.

2.

Use Vosk to transcribe the audio.

3.

Synchronize the transcript with the video timeline.

4.

Generate and embed subtitles in the video.

Quick Start Guide

7 Phases
01

Install the Vosk library using pip: `pip3 install vosk`.

02

Download a pre-trained language model from the Vosk models page.

03

Import the necessary modules in your Python script: `from vosk import Model, KaldiRecognizer`.

04

Initialize the model by specifying the path to the downloaded model: `model = Model("path/to/model")`.

05

Create a KaldiRecognizer instance with the model and sample rate: `rec = KaldiRecognizer(model, 16000)`.

06

Process audio data by feeding it to the recognizer: `rec.AcceptWaveform(data)`.

07

Obtain the recognized text from the recognizer's result: `result = rec.Result()`.

All Set

Ready to go

Pros

  • Offline operation ensures privacy and accessibility.
  • Support for 20+ languages makes it versatile.
  • Small model size allows for use on lightweight devices.
  • Streaming API provides a better user experience.

Cons

  • Accuracy might be lower compared to cloud-based solutions.
  • Setup and configuration can be complex for beginners.
  • Limited documentation may require more research.

Frequently Asked Questions

What languages does Vosk support?
Vosk supports over 20 languages and dialects, including English, Spanish, Chinese, Russian, and more.
Can Vosk be used offline?
Yes, Vosk is designed to work offline, even on lightweight devices.
How large are the Vosk language models?
The portable per-language models are around 50MB each.
Does Vosk offer a streaming API?
Yes, Vosk provides a streaming API for real-time speech recognition.
What programming languages are supported?
Vosk has bindings for different programming languages like Java, C#, and JavaScript.

Reviews & Ratings

Verified feedback from other users.

AI Verdict

“Vosk is praised for its offline capabilities and support for multiple languages. It's suitable for resource-constrained devices.”

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Official Website

Try Vosk directly — explore plans, docs, and get started for free.

Visit Vosk
PricingView Page

Free

Free

Pro

$29

Specs

Security
GDPR
I/O
audiotextjson

Core Tasks

  • Converting speech to text in real-time
  • Enabling offline speech recognition
  • Supporting multiple languages for speech recognition
  • Adapting to different accents and dialects
  • Integrating speech recognition into mobile apps

Target Personas

Offline Speech ProcessingAI & Machine Learning

Categories

Speech-to-textOffline RecognitionOpen SourceLanguage ProcessingEmbedded Systems

Use Vosk For

Converting speech to text in real-timeEnabling offline speech recognitionSupporting multiple languages for speech recognitionAdapting to different accents and dialectsIntegrating speech recognition into mobile appsImplementing voice control in embedded systemsBuilding custom speech recognition models

Vosk vs Alternatives

Choose the right tool for your workflow

Google Cloud Speech-to-Text

Choose Vosk for offline functionality and privacy, while Google Cloud Speech-to-Text is better for high accuracy and cloud-based processing.

AssemblyAI

Choose Vosk for its open-source nature and local processing, compared to AssemblyAI's focus on pre-trained models and APIs.

DeepSpeech

Choose Vosk for ease of installation and smaller model size. DeepSpeech is another Open Source alternative that may require more advanced configuration.

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Data Interface

Input
audio
Output
textjson