gcloud ml vision detect-text-tiff - detect and transcribe text from TIFF files stored in Google Cloud Storage
gcloud ml vision detect-text-tiff INPUT_FILE OUTPUT_PATH [--batch-size=BATCH_SIZE] [GCLOUD_WIDE_FLAG ...]
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.
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
- 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)
- --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.
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.
This command uses the vision/v1 API. The full documentation for this API can be found at: https://cloud.google.com/vision/
These variants are also available:
$ gcloud alpha ml vision detect-text-tiff
$ gcloud beta ml vision detect-text-tiff