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Audio & Voice AI

Whisper Gui

Whisper Gui is a Python and Gradio graphical application for using Whisper and WhisperX to transcribe local audio and video files.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Whisper Gui — OpenViST project profile in Audio & Voice AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want a desktop-oriented graphical workflow for Whisper transcription and need selectable output formats or timestamps.

Who it is for

  • People who want a graphical interface for local speech-to-text transcription.
  • Users who need subtitle, structured-data or plain-text transcript output.

Documented uses

  • Transcribe a local audio or video file.
  • Detect or manually select the spoken language.
  • Produce transcripts with word- or sentence-level timestamps.
  • Save results as SRT, JSON or TXT.
Before you choose

Requirements & limits

The project is open source under the MIT License. Prebuilt CPU binaries are listed for Windows 10/11 and Linux x86-64; CUDA binaries are listed for those platforms with NVIDIA drivers. The README documents a setup wizard for Windows, Linux and macOS. Prebuilt binaries are marked alpha; macOS and AMD GPU binaries are not listed.

  • FFmpeg is required for the documented binary and wizard installation routes.
  • CUDA binary use requires NVIDIA drivers and 7-Zip.
  • The prebuilt binaries are marked alpha, and the README warns of possible issues with very new GPUs.
  • The wizard opens the GUI in a browser tab, while the application itself is a local graphical transcription tool.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up Whisper Gui with the interactive wizard

Install the application through its documented wizard and open its interface.

Before you start

  • Anaconda or Miniconda installed, with conda added to PATH
  • Git installed and added to PATH
  • FFmpeg installed and added to PATH

Steps

  1. On Windows, run whisper-gui.bat; on Linux or macOS, run whisper-gui.sh.

  2. Follow the wizard instructions and allow it to install the required dependencies.

  3. After setup, use the same script to start the application again; the README says it also checks for repository updates.

Expected outcome

The GUI opens in a new browser tab.

Guide limitations

  • This is the documented interactive setup route; the README does not specify hardware requirements.
  • The separate prebuilt binaries are described as alpha, with a warning about possible incompatibility with very new GPUs.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
15 October 2026
Original website title
Pikurrot/whisper-gui · Official homepage title · retained in its source language
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