Generate Subtitles with AI-Powered Whisper Web UI
Table of Contents
- Introduction
- Installing Prerequisites for Whisper
- Installing Whisper Web UI
- Accessing Whisper Web UI
- Transcribing Audio Files
- Transcribing YouTube Videos
- Transcribing Audio Using a Microphone
- Conclusion
- Supported Subtitle Formats
- Translation Option
Introduction
Installing Prerequisites for Whisper
Installing Whisper Web UI
Accessing Whisper Web UI
Transcribing Audio Files
Transcribing YouTube Videos
Transcribing Audio Using a Microphone
Conclusion
Supported Subtitle Formats
Translation Option
Installing Prerequisites for Whisper
To use the Whisper web UI, you need to install some prerequisites on your computer. Here are the steps to do so:
Step 1: Install Python
- Make sure you have Python 3.8 to 3.10 installed on your computer. You can download Python from the official website.
Step 2: Install FFmpeg
- FFmpeg is required for audio extraction. You can download FFmpeg from the official website.
Once you have installed Python and FFmpeg, you can proceed with the installation of Whisper.
Installing Whisper Web UI
To install the Whisper web UI, follow the steps below:
Step 1: Download and Unzip the Repository
- Head over to the GitHub repository provided in the video description and download the repository files.
- Unzip the downloaded files to a location on your computer.
Step 2: Install Python Libraries
- Run the
install.bat file (or install.sh file if you're using a Mac) to install the necessary Python libraries.
- After the installation is complete, you should see a message indicating that the requirements were successfully installed.
Step 3: Start the Web UI
- Run the
start_web_ui.bat file to start the Whisper web UI.
- If it's your first time running the web UI, it will download the required model to your computer.
- If you already have the model, you will see a message indicating the localhost.
Accessing Whisper Web UI
To access the Whisper web UI, follow the steps below:
Step 1: Open Your Browser
- Open your preferred web browser.
Step 2: Navigate to Localhost
- In the address bar, type
localhost:7860 and press Enter.
- This will take you to the Whisper web UI interface.
Transcribing Audio Files
The Whisper web UI allows you to transcribe audio files. Here's how you can do it:
Step 1: Select the Audio File
- Click on the "Files" tab in the web UI.
- This will open the file explorer where you can select the audio file you want to transcribe.
Step 2: Configure the Settings
- Choose the model you want to use. The large V2 model is recommended for its performance.
- Choose the source language. Automatic detection works well in most cases.
- Select the subtitle format (sesrd or webvtt).
- There is an option to Translate to English if the source language is not English.
Step 3: Start Transcribing
- Once the file is uploaded and the settings are configured, click on the "Transcribe" button.
- The Transcription process may take some time, especially for long audio files.
- Once the transcription process is complete, you will see the result and the subtitle file will be located in the output folder of the project.
Transcribing YouTube Videos
With the Whisper web UI, you can also transcribe YouTube videos. Here's how:
Step 1: Select the YouTube Tab
- Click on the "YouTube" tab in the web UI.
Step 2: Enter the YouTube Link
- Copy the URL of the YouTube video you want to transcribe.
- Paste the YouTube link in the text box provided.
Step 3: Configure the Settings
- Configure the settings as Mentioned in the previous section (Step 2 of "Transcribing Audio Files").
Step 4: Start Transcribing
- Click on the "Generate Subtitle File" button.
- The audio from the YouTube video will be loaded, and the transcription process will start.
- The transcription may take some time, especially for longer videos.
Transcribing Audio Using a Microphone
If you prefer to transcribe audio using your microphone, the Whisper web UI allows you to do so. Here's how:
Step 1: Click on the Microphone Tab
- Click on the "Microphone" tab in the web UI.
Step 2: Start Recording Your Voice
- Click on the "Record" button to start recording your voice using the microphone.
Step 3: Stop Recording and Transcribe
- Click on the "Stop" button to stop the recording.
- The transcription process will start automatically.
Conclusion
In conclusion, the Whisper web UI is a powerful tool for transcribing audio files, YouTube videos, and even audio from your microphone. It offers impressive performance and Speech-to-Text transcription capabilities. With a user-friendly interface and support for various settings, it provides a seamless transcription experience. Whether you need to transcribe interviews, lectures, or any other audio content, Whisper web UI is a reliable choice.
Supported Subtitle Formats
The Whisper web UI currently supports two subtitle formats: sesrd and webvtt. These formats allow you to save the transcribed text as subtitle files. The subtitle files can be used for various purposes such as video captioning, accessibility, and more.
Translation Option
If the source language is not English, the Whisper web UI provides an option to translate the transcribed text to English. This can be useful if you want to have the transcription in English, regardless of the source language. Simply check the translation option while configuring the settings, and the result will be in English.
Highlights
- Whisper web UI offers impressive performance and speech-to-text transcription capabilities.
- It supports transcribing audio files, YouTube videos, and audio from a microphone.
- The large V2 model is recommended for the best performance.
- Automatic language detection works well in most cases.
- The web UI supports sesrd and webvtt subtitle formats.
- There is an option to translate the transcribed text to English.
- The transcribed text can be saved as subtitle files for various purposes.
FAQ
Q: Can I transcribe audio files in languages other than English?
A: Yes, the Whisper web UI supports various languages. Language detection is performed automatically, so you can transcribe audio files in different languages.
Q: How accurate is the transcription process?
A: The accuracy of the transcription process depends on various factors such as the quality of the audio and the clarity of the speech. However, Whisper web UI has been praised for its excellent performance and accuracy.
Q: Can I customize the models used for transcription?
A: Currently, the Whisper web UI offers pre-trained models for transcription. However, future updates may include options for customization and fine-tuning of models.
Q: Is there a limit on the length of audio files that can be transcribed?
A: There is no specific limit mentioned for audio file length. However, longer audio files may take more time to transcribe due to the processing involved.
Q: Can I edit the transcribed text after it is generated?
A: Yes, you can edit the transcribed text as per your requirements. The web UI provides an interface where you can make changes to the text if needed.
