Detect text in a document: Bounds

Returns the bounds for the boxes around the text detected in a document.

Documentation pages that include this code sample

To view the code sample used in context, see the following documentation:

• Dense document text detection tutorial

Code sample

Python

Before trying this sample, follow the Python setup instructions in the Vision quickstart using client libraries. For more information, see the Vision Python API reference documentation.

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"""Returns document bounds given an image."""
client = vision.ImageAnnotatorClient()

bounds = []

with io.open(image_file, 'rb') as image_file:
    content = image_file.read()

image = vision.Image(content=content)

response = client.document_text_detection(image=image)
document = response.full_text_annotation

# Collect specified feature bounds by enumerating all document features
for page in document.pages:
    for block in page.blocks:
        for paragraph in block.paragraphs:
            for word in paragraph.words:
                for symbol in word.symbols:
                    if (feature == FeatureType.SYMBOL):
                        bounds.append(symbol.bounding_box)

                if (feature == FeatureType.WORD):
                    bounds.append(word.bounding_box)

            if (feature == FeatureType.PARA):
                bounds.append(paragraph.bounding_box)

        if (feature == FeatureType.BLOCK):
            bounds.append(block.bounding_box)

# The list `bounds` contains the coordinates of the bounding boxes.

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