Welcome back! In the previous lesson, you learned how to download media files from Google Drive using C#. You practiced identifying Google Drive URLs, extracting the file ID, and using the GoogleDriveService class to handle the download process. This skill is essential for working with media files that are shared online, especially when you want to automate the process.

Now, we are ready to take the next step. In this lesson, you will see how to integrate the downloaded media file into a complete transcription workflow. This means you will not only download the file but also extract its audio, cut a specific segment, and transcribe that segment. By the end of this lesson, you will understand how these steps fit together and how to implement them in your own C# projects.

Let’s look at the big picture. The goal is to take a media file from Google Drive and turn it into a text transcription of its audio content. To do this, we follow a series of steps:

1. Download the media file from Google Drive.
2. Extract the full audio track from the video file.
3. Cut a short audio clip (for example, the first 30 seconds) using the new CutAudioAsync method.
4. Transcribe the audio clip to text.
5. Clean up any temporary files created during the process.

Each step has a clear purpose. Downloading brings the file to your local environment. Extracting audio prepares the content for transcription, since most transcription services work with audio files, not video. Cutting a short clip is useful for testing or when you only need a sample. Transcribing turns the audio into text, which is the final goal. Cleaning up ensures you do not leave unnecessary files on your system.

To start, you need to set up the services that will handle each part of the workflow. You will use three main classes: GoogleDriveService for downloading, TranscriptionService for transcribing, and AudioProcessor for working with audio files. Here is how you initialize them:

The mediaUrl variable holds the link to the media file you want to process. The tempFiles list will keep track of all temporary files you create so you can delete them later.

Next, you download the video file using the DownloadFileAsync method from the previous lesson. This method saves the file to a temporary location and returns the path:

When you run this code, you will see output similar to:

This confirms that the file was downloaded and shows where it is stored.

Once you have the video file, the next step is to extract its audio. The AudioProcessor class provides a method called ExtractAudioFromVideoAsync for this purpose. This method takes the path to the video file and the path where you want to save the audio file. Here is how you use it:

After running this code, you will see output like:

Now you have a .wav audio file containing the full audio from the video.

The next step is to cut a short segment from this audio file. This is where the new CutAudioAsync method comes in:

This method checks that the start and end times are valid, calculates the duration of the segment, and uses FFmpeg to cut the specified portion of the audio. You can then call this method as shown earlier to extract, for example, the first 30 seconds of audio.

The output will look like:

Cutting a short clip is useful for testing your transcription workflow or when you only need to transcribe a specific part of the audio. It also helps reduce processing time and cost if you are working with long files.

With your 30-second audio clip ready, you can now transcribe it. We'll use the TranscribeAudio method from before, which takes the path to the audio file and returns the transcription result. Here is how you use it:

When you run this code, you will see output similar to:

This shows the text that was transcribed from the first 30 seconds of your audio clip. The actual output will depend on the content of your media file.

After processing and transcribing your media file, as usual, it is important to clean up any temporary files you created. This prevents your system from filling up with unused files. The code below loops through the tempFiles list and deletes each file:

The output will confirm which files were deleted:

In this lesson, you learned how to integrate a complete transcription workflow in C#. You saw how to download a media file from Google Drive, extract its audio, cut a specific segment, and transcribe that segment to text. You also learned how to manage temporary files throughout the process, ensuring your system stays clean.

These skills are essential for automating the processing and transcription of media files, especially when working with content stored online. In the next section, you will get hands-on practice with these steps, so you can confidently implement this workflow in your own C# projects.