✨ add support for business cards, delivery notes, indian passport & u…

…pdate resume (#272)

docs/extras/code_samples/business_card_v1_async.txt

@@ -0,0 +1,16 @@
+from mindee import Client, product, AsyncPredictResponse
+
+# Init a new client
+mindee_client = Client(api_key="my-api-key")
+
+# Load a file from disk
+input_doc = mindee_client.source_from_path("/path/to/the/file.ext")
+
+# Load a file from disk and enqueue it.
+result: AsyncPredictResponse = mindee_client.enqueue_and_parse(
+    product.BusinessCardV1,
+    input_doc,
+)
+
+# Print a brief summary of the parsed data
+print(result.document)

docs/extras/code_samples/delivery_notes_v1_async.txt

@@ -0,0 +1,16 @@
+from mindee import Client, product, AsyncPredictResponse
+
+# Init a new client
+mindee_client = Client(api_key="my-api-key")
+
+# Load a file from disk
+input_doc = mindee_client.source_from_path("/path/to/the/file.ext")
+
+# Load a file from disk and enqueue it.
+result: AsyncPredictResponse = mindee_client.enqueue_and_parse(
+    product.DeliveryNoteV1,
+    input_doc,
+)
+
+# Print a brief summary of the parsed data
+print(result.document)

docs/extras/code_samples/ind_passport_v1_async.txt

@@ -0,0 +1,16 @@
+from mindee import Client, product, AsyncPredictResponse
+
+# Init a new client
+mindee_client = Client(api_key="my-api-key")
+
+# Load a file from disk
+input_doc = mindee_client.source_from_path("/path/to/the/file.ext")
+
+# Load a file from disk and enqueue it.
+result: AsyncPredictResponse = mindee_client.enqueue_and_parse(
+    product.ind.IndianPassportV1,
+    input_doc,
+)
+
+# Print a brief summary of the parsed data
+print(result.document)

docs/extras/guide/business_card_v1.md

@@ -0,0 +1,167 @@
+---
+title: Business Card OCR Python
+category: 622b805aaec68102ea7fcbc2
+slug: python-business-card-ocr
+parentDoc: 609808f773b0b90051d839de
+---
+The Python OCR SDK supports the [Business Card API](https://platform.mindee.com/mindee/business_card).
+
+Using the [sample below](https://github.com/mindee/client-lib-test-data/blob/main/products/business_card/default_sample.jpg), we are going to illustrate how to extract the data that we want using the OCR SDK.
+![Business Card sample](https://github.com/mindee/client-lib-test-data/blob/main/products/business_card/default_sample.jpg?raw=true)
+
+# Quick-Start
+```py
+from mindee import Client, product, AsyncPredictResponse
+
+# Init a new client
+mindee_client = Client(api_key="my-api-key")
+
+# Load a file from disk
+input_doc = mindee_client.source_from_path("/path/to/the/file.ext")
+
+# Load a file from disk and enqueue it.
+result: AsyncPredictResponse = mindee_client.enqueue_and_parse(
+    product.BusinessCardV1,
+    input_doc,
+)
+
+# Print a brief summary of the parsed data
+print(result.document)
+
+```
+
+**Output (RST):**
+```rst
+########
+Document
+########
+:Mindee ID: 6f9a261f-7609-4687-9af0-46a45156566e
+:Filename: default_sample.jpg
+
+Inference
+#########
+:Product: mindee/business_card v1.0
+:Rotation applied: Yes
+
+Prediction
+==========
+:Firstname: Andrew
+:Lastname: Morin
+:Job Title: Founder & CEO
+:Company: RemoteGlobal
+:Email: [email protected]
+:Phone Number: +14015555555
+:Mobile Number: +13015555555
+:Fax Number: +14015555556
+:Address: 178 Main Avenue, Providence, RI 02111
+:Website: www.remoteglobalconsulting.com
+:Social Media: https://www.linkedin.com/in/johndoe
+               https://twitter.com/johndoe
+```
+
+# Field Types
+## Standard Fields
+These fields are generic and used in several products.
+
+### BaseField
+Each prediction object contains a set of fields that inherit from the generic `BaseField` class.
+A typical `BaseField` object will have the following attributes:
+
+* **value** (`Union[float, str]`): corresponds to the field value. Can be `None` if no value was extracted.
+* **confidence** (`float`): the confidence score of the field prediction.
+* **bounding_box** (`[Point, Point, Point, Point]`): contains exactly 4 relative vertices (points) coordinates of a right rectangle containing the field in the document.
+* **polygon** (`List[Point]`): contains the relative vertices coordinates (`Point`) of a polygon containing the field in the image.
+* **page_id** (`int`): the ID of the page, always `None` when at document-level.
+* **reconstructed** (`bool`): indicates whether an object was reconstructed (not extracted as the API gave it).
+
+> **Note:** A `Point` simply refers to a List of two numbers (`[float, float]`).
+
+
+Aside from the previous attributes, all basic fields have access to a custom `__str__` method that can be used to print their value as a string.
+
+### StringField
+The text field `StringField` only has one constraint: its **value** is an `Optional[str]`.
+
+# Attributes
+The following fields are extracted for Business Card V1:
+
+## Address
+**address** ([StringField](#stringfield)): The address of the person.
+
+```py
+print(result.document.inference.prediction.address.value)
+```
+
+## Company
+**company** ([StringField](#stringfield)): The company the person works for.
+
+```py
+print(result.document.inference.prediction.company.value)
+```
+
+## Email
+**email** ([StringField](#stringfield)): The email address of the person.
+
+```py
+print(result.document.inference.prediction.email.value)
+```
+
+## Fax Number
+**fax_number** ([StringField](#stringfield)): The Fax number of the person.
+
+```py
+print(result.document.inference.prediction.fax_number.value)
+```
+
+## Firstname
+**firstname** ([StringField](#stringfield)): The given name of the person.
+
+```py
+print(result.document.inference.prediction.firstname.value)
+```
+
+## Job Title
+**job_title** ([StringField](#stringfield)): The job title of the person.
+
+```py
+print(result.document.inference.prediction.job_title.value)
+```
+
+## Lastname
+**lastname** ([StringField](#stringfield)): The lastname of the person.
+
+```py
+print(result.document.inference.prediction.lastname.value)
+```
+
+## Mobile Number
+**mobile_number** ([StringField](#stringfield)): The mobile number of the person.
+
+```py
+print(result.document.inference.prediction.mobile_number.value)
+```
+
+## Phone Number
+**phone_number** ([StringField](#stringfield)): The phone number of the person.
+
+```py
+print(result.document.inference.prediction.phone_number.value)
+```
+
+## Social Media
+**social_media** (List[[StringField](#stringfield)]): The social media profiles of the person or company.
+
+```py
+for social_media_elem in result.document.inference.prediction.social_media:
+    print(social_media_elem.value)
+```
+
+## Website
+**website** ([StringField](#stringfield)): The website of the person or company.
+
+```py
+print(result.document.inference.prediction.website.value)
+```
+
+# Questions?
+[Join our Slack](https://join.slack.com/t/mindee-community/shared_invite/zt-2d0ds7dtz-DPAF81ZqTy20chsYpQBW5g)

docs/extras/guide/delivery_notes_v1.md

@@ -0,0 +1,142 @@
+---
+title: Delivery note OCR Python
+category: 622b805aaec68102ea7fcbc2
+slug: python-delivery-note-ocr
+parentDoc: 609808f773b0b90051d839de
+---
+The Python OCR SDK supports the [Delivery note API](https://platform.mindee.com/mindee/delivery_notes).
+
+Using the [sample below](https://github.com/mindee/client-lib-test-data/blob/main/products/delivery_notes/default_sample.jpg), we are going to illustrate how to extract the data that we want using the OCR SDK.
+![Delivery note sample](https://github.com/mindee/client-lib-test-data/blob/main/products/delivery_notes/default_sample.jpg?raw=true)
+
+# Quick-Start
+```py
+from mindee import Client, product, AsyncPredictResponse
+
+# Init a new client
+mindee_client = Client(api_key="my-api-key")
+
+# Load a file from disk
+input_doc = mindee_client.source_from_path("/path/to/the/file.ext")
+
+# Load a file from disk and enqueue it.
+result: AsyncPredictResponse = mindee_client.enqueue_and_parse(
+    product.DeliveryNoteV1,
+    input_doc,
+)
+
+# Print a brief summary of the parsed data
+print(result.document)
+
+```
+
+**Output (RST):**
+```rst
+########
+Document
+########
+:Mindee ID: d5ead821-edec-4d31-a69a-cf3998d9a506
+:Filename: default_sample.jpg
+
+Inference
+#########
+:Product: mindee/delivery_notes v1.0
+:Rotation applied: Yes
+
+Prediction
+==========
+:Delivery Date: 2019-10-02
+:Delivery Number: INT-001
+:Supplier Name: John Smith
+:Supplier Address: 4490 Oak Drive, Albany, NY 12210
+:Customer Name: Jessie M Horne
+:Customer Address: 4312 Wood Road, New York, NY 10031
+:Total Amount: 204.75
+```
+
+# Field Types
+## Standard Fields
+These fields are generic and used in several products.
+
+### BaseField
+Each prediction object contains a set of fields that inherit from the generic `BaseField` class.
+A typical `BaseField` object will have the following attributes:
+
+* **value** (`Union[float, str]`): corresponds to the field value. Can be `None` if no value was extracted.
+* **confidence** (`float`): the confidence score of the field prediction.
+* **bounding_box** (`[Point, Point, Point, Point]`): contains exactly 4 relative vertices (points) coordinates of a right rectangle containing the field in the document.
+* **polygon** (`List[Point]`): contains the relative vertices coordinates (`Point`) of a polygon containing the field in the image.
+* **page_id** (`int`): the ID of the page, always `None` when at document-level.
+* **reconstructed** (`bool`): indicates whether an object was reconstructed (not extracted as the API gave it).
+
+> **Note:** A `Point` simply refers to a List of two numbers (`[float, float]`).
+
+
+Aside from the previous attributes, all basic fields have access to a custom `__str__` method that can be used to print their value as a string.
+
+
+### AmountField
+The amount field `AmountField` only has one constraint: its **value** is an `Optional[float]`.
+
+### DateField
+Aside from the basic `BaseField` attributes, the date field `DateField` also implements the following: 
+
+* **date_object** (`Date`): an accessible representation of the value as a python object. Can be `None`.
+
+### StringField
+The text field `StringField` only has one constraint: its **value** is an `Optional[str]`.
+
+# Attributes
+The following fields are extracted for Delivery note V1:
+
+## Customer Address
+**customer_address** ([StringField](#stringfield)): The address of the customer receiving the goods.
+
+```py
+print(result.document.inference.prediction.customer_address.value)
+```
+
+## Customer Name
+**customer_name** ([StringField](#stringfield)): The name of the customer receiving the goods.
+
+```py
+print(result.document.inference.prediction.customer_name.value)
+```
+
+## Delivery Date
+**delivery_date** ([DateField](#datefield)): The date on which the delivery is scheduled to arrive.
+
+```py
+print(result.document.inference.prediction.delivery_date.value)
+```
+
+## Delivery Number
+**delivery_number** ([StringField](#stringfield)): A unique identifier for the delivery note.
+
+```py
+print(result.document.inference.prediction.delivery_number.value)
+```
+
+## Supplier Address
+**supplier_address** ([StringField](#stringfield)): The address of the supplier providing the goods.
+
+```py
+print(result.document.inference.prediction.supplier_address.value)
+```
+
+## Supplier Name
+**supplier_name** ([StringField](#stringfield)): The name of the supplier providing the goods.
+
+```py
+print(result.document.inference.prediction.supplier_name.value)
+```
+
+## Total Amount
+**total_amount** ([AmountField](#amountfield)): The total monetary value of the goods being delivered.
+
+```py
+print(result.document.inference.prediction.total_amount.value)
+```
+
+# Questions?
+[Join our Slack](https://join.slack.com/t/mindee-community/shared_invite/zt-2d0ds7dtz-DPAF81ZqTy20chsYpQBW5g)

docs/extras/guide/financial_document_v1.md

@@ -58,17 +58,17 @@ print(result.document)
 ########
 Document
 ########
-:Mindee ID: 340ee4ae-b4da-41f0-b5ea-81ae29852b57
+:Mindee ID: b26161ce-35d0-4984-b1ff-886645e160e6
 :Filename: default_sample.jpg
 
 Inference
 #########
-:Product: mindee/financial_document v1.10
+:Product: mindee/financial_document v1.11
 :Rotation applied: Yes
 
 Prediction
 ==========
-:Locale: en; en; USD;
+:Locale: en-US; en; US; USD;
 :Invoice Number: INT-001
 :Purchase Order Number: 2412/2019
 :Receipt Number:
@@ -120,7 +120,7 @@ Page Predictions
 
 Page 0
 ------
-:Locale: en; en; USD;
+:Locale: en-US; en; US; USD;
 :Invoice Number: INT-001
 :Purchase Order Number: 2412/2019
 :Receipt Number: