Skip to main content

Whisper WebUI

A Web UI for easy subtitle using whisper model.

View on GitHub Official site
Speech To Text Apache-2.0 2,839 stars

Overview

Description

Whisper WebUI lets you generate accurate subtitles and transcriptions from audio and video files using AI — no technical expertise required. It supports multiple languages, identifies different speakers, and removes background noise for cleaner results. Run it locally, in Docker, or on Google Colab.

Technical scorecard

License

Apache-2.0

Commercial use

Yes

OpenAI-compatible API

No

REST API

Yes

Fine-tuning support

No

Quantization support

No

Docker available

Yes

GUI / no-code available

Yes

Telemetry

Unknown

Offline after setup

Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

Unknown

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

🛡️

Deploying Whisper WebUI in production?

Stop silent telemetry leaks before they trigger an unintended data leak. Get our Airgap Certainty Blueprint for Whisper WebUI.

Request Privacy and Telemetry Audit

Setup & Installation

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/jhj0517/Whisper-WebUI

Hardware Requirements

Hardware tagsCPU, GPU (NVIDIA)
LanguagesPython

Works Well With