NAME
    gcloud ml vision detect-text-tiff - detect and transcribe text from TIFF
        files stored in Google Cloud Storage

SYNOPSIS
    gcloud ml vision detect-text-tiff INPUT_FILE OUTPUT_PATH
        [--batch-size=BATCH_SIZE] [GCLOUD_WIDE_FLAG ...]

DESCRIPTION
    Detect and transcribe text from TIFF files stored in Google Cloud Storage.

    The Vision API accepts TIFF files up to 2000 pages. Larger files will
    return an error.

EXAMPLES
    To detect text for input TIFF file gs://my_bucket/input_file and store
    output in gs://my_bucket/out_put_prefix:

        $ gcloud ml vision detect-text-tiff gs://my_bucket/input_file \
            gs://my_bucket/out_put_prefix

POSITIONAL ARGUMENTS
     INPUT_FILE
        Google Cloud Storage location to read the input from. It must be in
        Google Cloud Storage format (gs://bucket/object)

     OUTPUT_PATH
        Google Cloud Storage location to store the output file. It must be in
        Google Cloud Storage format (gs://bucket/object)

FLAGS
     --batch-size=BATCH_SIZE
        Maximum number of response protos to put into each output JSON file on
        Google Cloud Storage. The valid range is [1, 100]. If not specified,
        the default value is 20.

GCLOUD WIDE FLAGS
    These flags are available to all commands: --access-token-file, --account,
    --billing-project, --configuration, --flags-file, --flatten, --format,
    --help, --impersonate-service-account, --log-http, --project, --quiet,
    --trace-token, --user-output-enabled, --verbosity.

    Run $ gcloud help for details.

API REFERENCE
    This command uses the vision/v1 API. The full documentation for this API
    can be found at: https://cloud.google.com/vision/

NOTES
    These variants are also available:

        $ gcloud alpha ml vision detect-text-tiff

        $ gcloud beta ml vision detect-text-tiff