Can google docs transcribe an audio file

Protocol

Refer to the speech:longrunningrecognize API endpoint for complete details.

To perform synchronous speech recognition, make a POST request and provide the appropriate request body. The following shows an example of a POST request using curl. The example uses the access token for a service account set up for the project using the Google Cloud Google Cloud CLI. For instructions on installing the gcloud CLI, setting up a project with a service account, and obtaining an access token, see the quickstart.

curl -X POST \
     -H "Authorization: Bearer "$(gcloud auth application-default print-access-token) \
     -H "Content-Type: application/json; charset=utf-8" \
     --data "{
  'config': {
    'language_code': 'en-US'
  },
  'audio':{
    'uri':'gs://cloud-samples-tests/speech/brooklyn.flac'
  }
}" "https://speech.googleapis.com/v1/speech:longrunningrecognize"

See the RecognitionConfig and RecognitionAudio reference documentation for more information on configuring the request body.

If the request is successful, the server returns a 200 OK HTTP status code and the response in JSON format:

{
  "name": "7612202767953098924"
}

where name is the name of the long running operation created for the request.

Wait for processing to complete. Processing time differs depending on your source audio. In most cases, you will get results in half the length of the source audio. You can get the status of your long-running operation by making a GET request to the https://speech.googleapis.com/v1/operations/ endpoint. Replace your-operation-name with the name returned from your longrunningrecognize request.

curl -H "Authorization: Bearer "$(gcloud auth application-default print-access-token) \
     -H "Content-Type: application/json; charset=utf-8" \
     "https://speech.googleapis.com/v1/operations/your-operation-name"

If the request is successful, the server returns a 200 OK HTTP status code and the response in JSON format:

{
  "name": "7612202767953098924",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.speech.v1.LongRunningRecognizeMetadata",
    "progressPercent": 100,
    "startTime": "2017-07-20T16:36:55.033650Z",
    "lastUpdateTime": "2017-07-20T16:37:17.158630Z"
  },
  "done": true,
  "response": {
    "@type": "type.googleapis.com/google.cloud.speech.v1.LongRunningRecognizeResponse",
    "results": [
      {
        "alternatives": [
          {
            "transcript": "how old is the Brooklyn Bridge",
            "confidence": 0.96096134,
          }
        ]
      },
      {
        "alternatives": [
          {
            ...
          }
        ]
      }
    ]
  }
}

If the operation has not completed, you can poll the endpoint by repeatedly making the GET request until the done property of the response is true.

gcloud CLI

Refer to the recognize-long-running command for complete details.

To perform asynchronous speech recognition, use the Google Cloud CLI, providing the path of a local file or a Google Cloud Storage URL.

gcloud ml speech recognize-long-running \
    'gs://cloud-samples-tests/speech/brooklyn.flac' \
     --language-code='en-US' --async

If the request is successful, the server returns the ID of the long-running operation in JSON format.

{
  "name": OPERATION_ID
}

You can then get information about the operation by running the following command.

gcloud ml speech operations describe OPERATION_ID

You can also poll the operation until it completes by running the following command.

gcloud ml speech operations wait OPERATION_ID

After the operation completes, the operation returns a transcript of the audio in JSON format.

{
  "@type": "type.googleapis.com/google.cloud.speech.v1.LongRunningRecognizeResponse",
  "results": [
    {
      "alternatives": [
        {
          "confidence": 0.9840146,
          "transcript": "how old is the Brooklyn Bridge"
        }
      ]
    }
  ]
}

Go

Java

Node.js

Python

To learn how to install and use the client library for Speech-to-Text, see Use the Vertex AI SDK for Python.

Additional languages

C#: Please follow the C# setup instructions on the client libraries page and then visit the Speech-to-Text reference documentation for .NET.

PHP: Please follow the PHP setup instructions on the client libraries page and then visit the Speech-to-Text reference documentation for PHP.

Ruby: Please follow the Ruby setup instructions on the client libraries page and then visit the Speech-to-Text reference documentation for Ruby.

Protocol

Refer to the longrunningrecognize API endpoint for complete details.

The following example shows how to send a POST request using curl, where the body of the request specifies the path to a Cloud Storage bucket. The results are uploaded to this location as a JSON file that stores SpeechRecognitionResult.

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     --data "{
  'config': {...},
  'output_config': {
     'gcs_uri':'gs://bucket/result-output-path.json'
  },
  'audio': {
    'uri': 'gs://bucket/audio-path'
  }
}" "https://speech.googleapis.com/v1p1beta1/speech:longrunningrecognize"

The LongRunningRecognizeResponse includes the path to the Cloud Storage bucket where the upload was attempted. If the upload was unsuccessful, an output error will be returned. If a file with the same name already exists, the upload writes the results to a new file with a timestamp as the suffix.

{
  ...
  "metadata": {
    ...
    "outputConfig": {...}
  },
  ...
  "response": {
    ...
    "results": [...],
    "outputConfig": {
      "gcs_uri":"gs://bucket/result-output-path"
    },
    "outputError": {...}
  }
}