关于Google Cloud Video Intelligence API视频转写功能的访问及试用问询

Hey there! I’ve had a few developer friends successfully test out the video transcription feature in Google Cloud Video Intelligence API, even though it’s still in alpha. The inconsistency you noticed between the press release, product page, and official docs is totally normal for alpha-stage features—they’re often rolled out to a limited audience first, with documentation catching up later.

Here’s a step-by-step guide to try it out:

• First, make sure you have a Google Cloud account and have enabled the Video Intelligence API. You can find it in the API Library section of the Google Cloud Console and complete the activation process.
• Since this is an alpha feature, you’ll need to submit an access request first. Look for the alpha access request form on the product page (it’s usually a contact form or application link), fill in your project details and intended use case, and wait for Google’s team to approve your access.
• Once you get access, you can use the official client libraries (like Python or Java) to call the transcription API. You’ll need to specify the SPEECH_TRANSCRIPTION feature in your request, along with relevant configs. Here’s a quick Python example:

from google.cloud import videointelligence_v1p3beta1 as videointelligence

# Initialize the client
client = videointelligence.VideoIntelligenceServiceClient()

# Define the feature we want to use
features = [videointelligence.Feature.SPEECH_TRANSCRIPTION]

# Configure speech transcription settings
speech_config = videointelligence.SpeechTranscriptionConfig(
    language_code="en-US",
    enable_automatic_punctuation=True,
)

video_context = videointelligence.VideoContext(
    speech_transcription_config=speech_config,
)

# Build the annotation request
request = videointelligence.AnnotateVideoRequest(
    input_uri="gs://your-cloud-storage-bucket/your-video-file.mp4",
    features=features,
    video_context=video_context,
)

# Send the request and wait for results
operation = client.annotate_video(request)
print("Waiting for transcription to complete...")
response = operation.result(timeout=300)

# Extract and print transcription results
for annotation_result in response.annotation_results:
    for speech_transcription in annotation_result.speech_transcriptions:
        print("\nTranscript: {}".format(speech_transcription.alternatives[0].transcript))
        print("Confidence: {}".format(speech_transcription.alternatives[0].confidence))

• After the operation completes, you can pull the transcribed text, timestamps, and confidence scores from the response object.

A few important notes to keep in mind:

• Alpha features aren’t meant for production use—they might have bugs or limited functionality that could change without notice.
• Supported languages and feature capabilities may be restricted during the alpha phase; refer to the communication you get after access approval for specifics.
• If you run into issues, reach out via Google Cloud’s support ticket system—alpha features usually have dedicated support channels for approved users.

内容的提问来源于stack exchange，提问作者carpiediem