The Python OCR SDK supports generated APIs.
Generated APIs can theoretically support all APIs in a catch-all generic format.

Quick-Start

from mindee import Client, PredictResponse, product

# Init a new client
mindee_client = Client(api_key="my-api-key")

# Add the corresponding endpoint (document). Set the account_name to "mindee" if you are using OTS.
my_endpoint = mindee_client.create_endpoint(
    account_name="my-account",
    endpoint_name="my-endpoint",
    version="my-version"
)

# Load a file from disk
input_doc = mindee_client.source_from_path("/path/to/the/file.ext")

# Parse the file.
# The endpoint must be specified since it cannot be determined from the class.
result: PredictResponse = mindee_client.enqueue_and_parse(
    product.GeneratedV1,
    input_doc,
    endpoint=my_endpoint
)

# Print a brief summary of the parsed data
print(result.document)

# # Iterate over all the fields in the document
# for field_name, field_values in result.document.inference.prediction.fields.items():
#     print(field_name, "=", field_values)

Generated Endpoints

You may have noticed in the previous step that in order to access a custom build, you will need to provide an account and an endpoint name at the very least.

Although it is optional, the version number should match the latest version of your build in most use-cases.
If it is not set, it will default to "1".

Field Types

Generated Fields

Generated List Field

A GeneratedListField is a special type of custom list that implements the following:

• values (List[Union[StringFieldGeneratedObjectField]]): the confidence score of the field prediction.
• page_id (int): only available for some documents ATM.

Since the inner contents can vary, the value isn't accessed through a property, but rather through the following functions:

• contents_list() (-> List[Union[str, float]]): returns a list of values for each element.
• contents_string(separator=" ") (-> str): returns a list of concatenated values, with an optional separator str between them.

  Note: the str() method returns a string representation of all values of this object, with an empty space between each of them.

Generated Object Field

Unrecognized structures and sometimes values of ListFields are stored in a GeneratedObjectField structure, which is implemented dynamically depending on the object's structure.

• page_id (Optional[int]): the ID of the page, is None when at document-level.
• raw_value (Optional[str]): an optional field for when some post-processing has been done on fields (e.g. amounts). None in most instances.
• confidence (Optional[float]): the confidence score of the field prediction. Warning: support isn't guaranteed on all APIs.

Other fields:No matter what, other fields will be stored in a dictionary-like structure with a key: value pair where key is a string and value is a nullable string. They can be accessed like any other regular value, but won't be suggested by your IDE.

StringField

The text field StringField only has one constraint: its value is an Optional[str].

Attributes

Generated builds always have access to at least two attributes:

Fields

fields (Dict[str: List[Union[GeneratedListField, GeneratedObjectField, (#stringfield)[StringField]]]):

print(str(result.document.inference.prediction.fields["my-field"]))

Nested fields

If your field my-field is a GeneratedObjectField, you can access its individual properties using the following syntax:

print(str(result.document.inference.prediction.fields["my-field"].my_attribute))

Questions?

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