- NAME
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- gcloud ml vision detect-text-tiff - detect and transcribe text from TIFF files stored in Google Cloud Storage
- SYNOPSIS
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gcloud ml vision detect-text-tiffINPUT_FILEOUTPUT_PATH[--batch-size=BATCH_SIZE] [GCLOUD_WIDE_FLAG …]
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- DESCRIPTION
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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
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To detect text for input TIFF file
gs://my_bucket/input_fileand store output ings://my_bucket/out_put_prefix:gcloud ml vision detect-text-tiff gs://my_bucket/input_file gs://my_bucket/out_put_prefix - POSITIONAL ARGUMENTS
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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
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--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
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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 helpfor details. - API REFERENCE
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This command uses the
vision/v1API. The full documentation for this API can be found at: https://cloud.google.com/vision/ - NOTES
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These variants are also available:
gcloud alpha ml vision detect-text-tiffgcloud beta ml vision detect-text-tiff
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Last updated 2024-02-06 UTC.