diff --git a/docs/extras/code_samples/proof_of_address_v1.txt b/docs/extras/code_samples/proof_of_address_v1.txt
deleted file mode 100644
index 551ff05d..00000000
--- a/docs/extras/code_samples/proof_of_address_v1.txt
+++ /dev/null
@@ -1,17 +0,0 @@
-from mindee import Client, PredictResponse, product
-
-# 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 parse it.
-# The endpoint name must be specified since it cannot be determined from the class.
-result: PredictResponse = mindee_client.parse(product.ProofOfAddressV1, input_doc)
-
-# Print a summary of the API result
-print(result.document)
-
-# Print the document-level summary
-# print(result.document.inference.prediction)
diff --git a/docs/extras/code_samples/us_w9_v1.txt b/docs/extras/code_samples/us_w9_v1.txt
deleted file mode 100644
index 9290950a..00000000
--- a/docs/extras/code_samples/us_w9_v1.txt
+++ /dev/null
@@ -1,17 +0,0 @@
-from mindee import Client, PredictResponse, product
-
-# 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 parse it.
-# The endpoint name must be specified since it cannot be determined from the class.
-result: PredictResponse = mindee_client.parse(product.us.W9V1, input_doc)
-
-# Print a summary of the API result
-print(result.document)
-
-# Print the document-level summary
-# print(result.document.inference.prediction)
diff --git a/docs/extras/guide/proof_of_address_v1.md b/docs/extras/guide/proof_of_address_v1.md
deleted file mode 100644
index 8099d5b2..00000000
--- a/docs/extras/guide/proof_of_address_v1.md
+++ /dev/null
@@ -1,208 +0,0 @@
----
-title: Proof of Address OCR Python
-category: 622b805aaec68102ea7fcbc2
-slug: python-proof-of-address-ocr
-parentDoc: 609808f773b0b90051d839de
----
-The Python OCR SDK supports the [Proof of Address API](https://platform.mindee.com/mindee/proof_of_address).
-
-Using the [sample below](https://github.com/mindee/client-lib-test-data/blob/main/products/proof_of_address/default_sample.jpg), we are going to illustrate how to extract the data that we want using the OCR SDK.
-![Proof of Address sample](https://github.com/mindee/client-lib-test-data/blob/main/products/proof_of_address/default_sample.jpg?raw=true)
-
-# Quick-Start
-```py
-from mindee import Client, PredictResponse, product
-
-# 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 parse it.
-# The endpoint name must be specified since it cannot be determined from the class.
-result: PredictResponse = mindee_client.parse(product.ProofOfAddressV1, input_doc)
-
-# Print a summary of the API result
-print(result.document)
-
-# Print the document-level summary
-# print(result.document.inference.prediction)
-
-```
-
-**Output (RST):**
-```rst
-########
-Document
-########
-:Mindee ID: 5d2361e9-405e-4fc1-8531-f92a3aef0c38
-:Filename: default_sample.jpg
-
-Inference
-#########
-:Product: mindee/proof_of_address v1.1
-:Rotation applied: Yes
-
-Prediction
-==========
-:Locale: en; en; USD;
-:Issuer Name: PPL ELECTRIC UTILITIES
-:Issuer Company Registrations:
-:Issuer Address: 2 NORTH 9TH STREET CPC-GENN1 ALLENTOWN.PA 18101-1175
-:Recipient Name:
-:Recipient Company Registrations:
-:Recipient Address: 123 MAIN ST ANYTOWN,PA 18062
-:Dates: 2011-07-27
-        2011-07-06
-        2011-08-03
-        2011-07-27
-        2011-06-01
-        2011-07-01
-        2010-07-01
-        2010-08-01
-        2011-07-01
-        2009-08-01
-        2010-07-01
-        2011-07-27
-:Date of Issue: 2011-07-27
-
-Page Predictions
-================
-
-Page 0
-------
-:Locale: en; en; USD;
-:Issuer Name: PPL ELECTRIC UTILITIES
-:Issuer Company Registrations:
-:Issuer Address: 2 NORTH 9TH STREET CPC-GENN1 ALLENTOWN.PA 18101-1175
-:Recipient Name:
-:Recipient Company Registrations:
-:Recipient Address: 123 MAIN ST ANYTOWN,PA 18062
-:Dates: 2011-07-27
-        2011-07-06
-        2011-08-03
-        2011-07-27
-        2011-06-01
-        2011-07-01
-        2010-07-01
-        2010-08-01
-        2011-07-01
-        2009-08-01
-        2010-07-01
-        2011-07-27
-:Date of Issue: 2011-07-27
-```
-
-# 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.
-
-
-### CompanyRegistrationField
-Aside from the basic `BaseField` attributes, the company registration field `CompanyRegistrationField` also implements the following:
-
-* **type** (`str`): the type of company.
-
-### 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`.
-
-### LocaleField
-The locale field `LocaleField` only implements the **value**, **confidence** and **page_id** base `BaseField` attributes, but it comes with its own:
-
-* **language** (`str`): ISO 639-1 language code (e.g.: `en` for English). Can be `None`.
-* **country** (`str`): ISO 3166-1 alpha-2 or ISO 3166-1 alpha-3 code for countries (e.g.: `GRB` or `GB` for "Great Britain"). Can be `None`.
-* **currency** (`str`): ISO 4217 code for currencies (e.g.: `USD` for "US Dollars"). 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 Proof of Address V1:
-
-## Date of Issue
-**date** ([DateField](#datefield)): The date the document was issued.
-
-```py
-print(result.document.inference.prediction.date.value)
-```
-
-## Dates
-**dates** (List[[DateField](#datefield)]): List of dates found on the document.
-
-```py
-for dates_elem in result.document.inference.prediction.dates:
-    print(dates_elem.value)
-```
-
-## Issuer Address
-**issuer_address** ([StringField](#stringfield)): The address of the document's issuer.
-
-```py
-print(result.document.inference.prediction.issuer_address.value)
-```
-
-## Issuer Company Registrations
-**issuer_company_registration** (List[[CompanyRegistrationField](#companyregistrationfield)]): List of company registrations found for the issuer.
-
-```py
-for issuer_company_registration_elem in result.document.inference.prediction.issuer_company_registration:
-    print(issuer_company_registration_elem.value)
-```
-
-## Issuer Name
-**issuer_name** ([StringField](#stringfield)): The name of the person or company issuing the document.
-
-```py
-print(result.document.inference.prediction.issuer_name.value)
-```
-
-## Locale
-**locale** ([LocaleField](#localefield)): The locale detected on the document.
-
-```py
-print(result.document.inference.prediction.locale.value)
-```
-
-## Recipient Address
-**recipient_address** ([StringField](#stringfield)): The address of the recipient.
-
-```py
-print(result.document.inference.prediction.recipient_address.value)
-```
-
-## Recipient Company Registrations
-**recipient_company_registration** (List[[CompanyRegistrationField](#companyregistrationfield)]): List of company registrations found for the recipient.
-
-```py
-for recipient_company_registration_elem in result.document.inference.prediction.recipient_company_registration:
-    print(recipient_company_registration_elem.value)
-```
-
-## Recipient Name
-**recipient_name** ([StringField](#stringfield)): The name of the person or company receiving the document.
-
-```py
-print(result.document.inference.prediction.recipient_name.value)
-```
-
-# Questions?
-[Join our Slack](https://join.slack.com/t/mindee-community/shared_invite/zt-2d0ds7dtz-DPAF81ZqTy20chsYpQBW5g)
diff --git a/docs/extras/guide/us_w9_v1.md b/docs/extras/guide/us_w9_v1.md
deleted file mode 100644
index bbd15bfb..00000000
--- a/docs/extras/guide/us_w9_v1.md
+++ /dev/null
@@ -1,202 +0,0 @@
----
-title: US W9 OCR Python
-category: 622b805aaec68102ea7fcbc2
-slug: python-us-w9-ocr
-parentDoc: 609808f773b0b90051d839de
----
-The Python OCR SDK supports the [W9 API](https://platform.mindee.com/mindee/us_w9).
-
-Using the [sample below](https://github.com/mindee/client-lib-test-data/blob/main/products/us_w9/default_sample.jpg), we are going to illustrate how to extract the data that we want using the OCR SDK.
-![W9 sample](https://github.com/mindee/client-lib-test-data/blob/main/products/us_w9/default_sample.jpg?raw=true)
-
-# Quick-Start
-```py
-from mindee import Client, PredictResponse, product
-
-# 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 parse it.
-# The endpoint name must be specified since it cannot be determined from the class.
-result: PredictResponse = mindee_client.parse(product.us.W9V1, input_doc)
-
-# Print a summary of the API result
-print(result.document)
-
-# Print the document-level summary
-# print(result.document.inference.prediction)
-
-```
-
-**Output (RST):**
-```rst
-########
-Document
-########
-:Mindee ID: d7c5b25f-e0d3-4491-af54-6183afa1aaab
-:Filename: default_sample.jpg
-
-Inference
-#########
-:Product: mindee/us_w9 v1.0
-:Rotation applied: Yes
-
-Prediction
-==========
-
-Page Predictions
-================
-
-Page 0
-------
-:Name: Stephen W Hawking
-:SSN: 560758145
-:Address: Somewhere In Milky Way
-:City State Zip: Probably Still At Cambridge P O Box CB1
-:Business Name:
-:EIN: 942203664
-:Tax Classification: individual
-:Tax Classification Other Details:
-:W9 Revision Date: august 2013
-:Signature Position: Polygon with 4 points.
-:Signature Date Position:
-:Tax Classification LLC:
-```
-
-# 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.
-
-
-### PositionField
-The position field `PositionField` does not implement all the basic `BaseField` attributes, only **bounding_box**, **polygon** and **page_id**. On top of these, it has access to:
-
-* **rectangle** (`[Point, Point, Point, Point]`): a Polygon with four points that may be oriented (even beyond canvas).
-* **quadrangle** (`[Point, Point, Point, Point]`): a free polygon made up of four points.
-
-### StringField
-The text field `StringField` only has one constraint: its **value** is an `Optional[str]`.
-
-## Page-Level Fields
-Some fields are constrained to the page level, and so will not be retrievable at document level.
-
-# Attributes
-The following fields are extracted for W9 V1:
-
-## Address
-[📄](#page-level-fields "This field is only present on individual pages.")**address** ([StringField](#stringfield)): The street address (number, street, and apt. or suite no.) of the applicant.
-
-```py
-for address_elem in result.document.address:
-    print(address_elem.value)
-```
-
-## Business Name
-[📄](#page-level-fields "This field is only present on individual pages.")**business_name** ([StringField](#stringfield)): The business name or disregarded entity name, if different from Name.
-
-```py
-for business_name_elem in result.document.business_name:
-    print(business_name_elem.value)
-```
-
-## City State Zip
-[📄](#page-level-fields "This field is only present on individual pages.")**city_state_zip** ([StringField](#stringfield)): The city, state, and ZIP code of the applicant.
-
-```py
-for city_state_zip_elem in result.document.city_state_zip:
-    print(city_state_zip_elem.value)
-```
-
-## EIN
-[📄](#page-level-fields "This field is only present on individual pages.")**ein** ([StringField](#stringfield)): The employer identification number.
-
-```py
-for ein_elem in result.document.ein:
-    print(ein_elem.value)
-```
-
-## Name
-[📄](#page-level-fields "This field is only present on individual pages.")**name** ([StringField](#stringfield)): Name as shown on the applicant's income tax return.
-
-```py
-for name_elem in result.document.name:
-    print(name_elem.value)
-```
-
-## Signature Date Position
-[📄](#page-level-fields "This field is only present on individual pages.")**signature_date_position** ([PositionField](#positionfield)): Position of the signature date on the document.
-
-```py
-for signature_date_position_elem in result.document.signature_date_position:
-    print(signature_date_position_elem.polygon)
-```
-
-## Signature Position
-[📄](#page-level-fields "This field is only present on individual pages.")**signature_position** ([PositionField](#positionfield)): Position of the signature on the document.
-
-```py
-for signature_position_elem in result.document.signature_position:
-    print(signature_position_elem.polygon)
-```
-
-## SSN
-[📄](#page-level-fields "This field is only present on individual pages.")**ssn** ([StringField](#stringfield)): The applicant's social security number.
-
-```py
-for ssn_elem in result.document.ssn:
-    print(ssn_elem.value)
-```
-
-## Tax Classification
-[📄](#page-level-fields "This field is only present on individual pages.")**tax_classification** ([StringField](#stringfield)): The federal tax classification, which can vary depending on the revision date.
-
-```py
-for tax_classification_elem in result.document.tax_classification:
-    print(tax_classification_elem.value)
-```
-
-## Tax Classification LLC
-[📄](#page-level-fields "This field is only present on individual pages.")**tax_classification_llc** ([StringField](#stringfield)): Depending on revision year, among S, C, P or D for Limited Liability Company Classification.
-
-```py
-for tax_classification_llc_elem in result.document.tax_classification_llc:
-    print(tax_classification_llc_elem.value)
-```
-
-## Tax Classification Other Details
-[📄](#page-level-fields "This field is only present on individual pages.")**tax_classification_other_details** ([StringField](#stringfield)): Tax Classification Other Details.
-
-```py
-for tax_classification_other_details_elem in result.document.tax_classification_other_details:
-    print(tax_classification_other_details_elem.value)
-```
-
-## W9 Revision Date
-[📄](#page-level-fields "This field is only present on individual pages.")**w9_revision_date** ([StringField](#stringfield)): The Revision month and year of the W9 form.
-
-```py
-for w9_revision_date_elem in result.document.w9_revision_date:
-    print(w9_revision_date_elem.value)
-```
-
-# Questions?
-[Join our Slack](https://join.slack.com/t/mindee-community/shared_invite/zt-2d0ds7dtz-DPAF81ZqTy20chsYpQBW5g)
diff --git a/docs/product/proof_of_address_v1.rst b/docs/product/proof_of_address_v1.rst
deleted file mode 100644
index 4260ff40..00000000
--- a/docs/product/proof_of_address_v1.rst
+++ /dev/null
@@ -1,15 +0,0 @@
-Proof of Address V1
--------------------
-
-**Sample Code:**
-
-.. literalinclude:: /extras/code_samples/proof_of_address_v1.txt
-    :language: Python
-
-.. autoclass:: mindee.product.proof_of_address.proof_of_address_v1.ProofOfAddressV1
-    :members:
-    :inherited-members:
-    
-.. autoclass:: mindee.product.proof_of_address.proof_of_address_v1_document.ProofOfAddressV1Document
-    :members:
-    :inherited-members:
diff --git a/docs/product/us/w9_v1.rst b/docs/product/us/w9_v1.rst
deleted file mode 100644
index 0c7c8485..00000000
--- a/docs/product/us/w9_v1.rst
+++ /dev/null
@@ -1,19 +0,0 @@
-W9 V1
------
-
-**Sample Code:**
-
-.. literalinclude:: /extras/code_samples/us_w9_v1.txt
-    :language: Python
-
-.. autoclass:: mindee.product.us.w9.w9_v1.W9V1
-    :members:
-    :inherited-members:
-    
-.. autoclass:: mindee.product.us.w9.w9_v1_document.W9V1Document
-    :members:
-    :inherited-members:
-
-.. autoclass:: mindee.product.us.w9.w9_v1_page.W9V1Page
-    :members:
-    :inherited-members:
diff --git a/mindee/commands/cli_products.py b/mindee/commands/cli_products.py
index 900aedc6..68795b0a 100644
--- a/mindee/commands/cli_products.py
+++ b/mindee/commands/cli_products.py
@@ -154,12 +154,6 @@ class CommandConfig(Generic[TypeInference]):
         is_sync=True,
         is_async=False,
     ),
-    "proof-of-address": CommandConfig(
-        help="Proof of Address",
-        doc_class=product.ProofOfAddressV1,
-        is_sync=True,
-        is_async=False,
-    ),
     "receipt": CommandConfig(
         help="Receipt",
         doc_class=product.ReceiptV5,
@@ -190,10 +184,4 @@ class CommandConfig(Generic[TypeInference]):
         is_sync=False,
         is_async=True,
     ),
-    "us-w9": CommandConfig(
-        help="W9",
-        doc_class=product.us.W9V1,
-        is_sync=True,
-        is_async=False,
-    ),
 }
diff --git a/mindee/product/__init__.py b/mindee/product/__init__.py
index 6d540745..f49443dd 100644
--- a/mindee/product/__init__.py
+++ b/mindee/product/__init__.py
@@ -129,10 +129,6 @@
 from mindee.product.passport.passport_v1_document import (
     PassportV1Document,
 )
-from mindee.product.proof_of_address.proof_of_address_v1 import ProofOfAddressV1
-from mindee.product.proof_of_address.proof_of_address_v1_document import (
-    ProofOfAddressV1Document,
-)
 from mindee.product.receipt.receipt_v5 import ReceiptV5
 from mindee.product.receipt.receipt_v5_document import (
     ReceiptV5Document,
diff --git a/mindee/product/proof_of_address/__init__.py b/mindee/product/proof_of_address/__init__.py
deleted file mode 100644
index f1fcdfdb..00000000
--- a/mindee/product/proof_of_address/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-from mindee.product.proof_of_address.proof_of_address_v1 import ProofOfAddressV1
-from mindee.product.proof_of_address.proof_of_address_v1_document import (
-    ProofOfAddressV1Document,
-)
diff --git a/mindee/product/proof_of_address/proof_of_address_v1.py b/mindee/product/proof_of_address/proof_of_address_v1.py
deleted file mode 100644
index 4744d619..00000000
--- a/mindee/product/proof_of_address/proof_of_address_v1.py
+++ /dev/null
@@ -1,39 +0,0 @@
-from typing import List
-
-from mindee.parsing.common.inference import Inference
-from mindee.parsing.common.page import Page
-from mindee.parsing.common.string_dict import StringDict
-from mindee.product.proof_of_address.proof_of_address_v1_document import (
-    ProofOfAddressV1Document,
-)
-
-
-class ProofOfAddressV1(Inference):
-    """Proof of Address API version 1 inference prediction."""
-
-    prediction: ProofOfAddressV1Document
-    """Document-level prediction."""
-    pages: List[Page[ProofOfAddressV1Document]]
-    """Page-level prediction(s)."""
-    endpoint_name = "proof_of_address"
-    """Name of the endpoint."""
-    endpoint_version = "1"
-    """Version of the endpoint."""
-
-    def __init__(self, raw_prediction: StringDict):
-        """
-        Proof of Address v1 inference.
-
-        :param raw_prediction: Raw prediction from the HTTP response.
-        """
-        super().__init__(raw_prediction)
-
-        self.prediction = ProofOfAddressV1Document(raw_prediction["prediction"])
-        self.pages = []
-        for page in raw_prediction["pages"]:
-            try:
-                page_prediction = page["prediction"]
-            except KeyError:
-                continue
-            if page_prediction:
-                self.pages.append(Page(ProofOfAddressV1Document, page))
diff --git a/mindee/product/proof_of_address/proof_of_address_v1_document.py b/mindee/product/proof_of_address/proof_of_address_v1_document.py
deleted file mode 100644
index 8ebbf710..00000000
--- a/mindee/product/proof_of_address/proof_of_address_v1_document.py
+++ /dev/null
@@ -1,104 +0,0 @@
-from typing import List, Optional
-
-from mindee.parsing.common.prediction import Prediction
-from mindee.parsing.common.string_dict import StringDict
-from mindee.parsing.common.summary_helper import clean_out_string
-from mindee.parsing.standard.company_registration import CompanyRegistrationField
-from mindee.parsing.standard.date import DateField
-from mindee.parsing.standard.locale import LocaleField
-from mindee.parsing.standard.text import StringField
-
-
-class ProofOfAddressV1Document(Prediction):
-    """Proof of Address API version 1.1 document data."""
-
-    date: DateField
-    """The date the document was issued."""
-    dates: List[DateField]
-    """List of dates found on the document."""
-    issuer_address: StringField
-    """The address of the document's issuer."""
-    issuer_company_registration: List[CompanyRegistrationField]
-    """List of company registrations found for the issuer."""
-    issuer_name: StringField
-    """The name of the person or company issuing the document."""
-    locale: LocaleField
-    """The locale detected on the document."""
-    recipient_address: StringField
-    """The address of the recipient."""
-    recipient_company_registration: List[CompanyRegistrationField]
-    """List of company registrations found for the recipient."""
-    recipient_name: StringField
-    """The name of the person or company receiving the document."""
-
-    def __init__(
-        self,
-        raw_prediction: StringDict,
-        page_id: Optional[int] = None,
-    ):
-        """
-        Proof of Address document.
-
-        :param raw_prediction: Raw prediction from HTTP response
-        :param page_id: Page number for multi pages pdf input
-        """
-        super().__init__(raw_prediction, page_id)
-        self.date = DateField(
-            raw_prediction["date"],
-            page_id=page_id,
-        )
-        self.dates = [
-            DateField(prediction, page_id=page_id)
-            for prediction in raw_prediction["dates"]
-        ]
-        self.issuer_address = StringField(
-            raw_prediction["issuer_address"],
-            page_id=page_id,
-        )
-        self.issuer_company_registration = [
-            CompanyRegistrationField(prediction, page_id=page_id)
-            for prediction in raw_prediction["issuer_company_registration"]
-        ]
-        self.issuer_name = StringField(
-            raw_prediction["issuer_name"],
-            page_id=page_id,
-        )
-        self.locale = LocaleField(
-            raw_prediction["locale"],
-            page_id=page_id,
-        )
-        self.recipient_address = StringField(
-            raw_prediction["recipient_address"],
-            page_id=page_id,
-        )
-        self.recipient_company_registration = [
-            CompanyRegistrationField(prediction, page_id=page_id)
-            for prediction in raw_prediction["recipient_company_registration"]
-        ]
-        self.recipient_name = StringField(
-            raw_prediction["recipient_name"],
-            page_id=page_id,
-        )
-
-    def __str__(self) -> str:
-        dates = f"\n { ' ' * 7 }".join(
-            [str(item) for item in self.dates],
-        )
-        issuer_company_registration = f"\n { ' ' * 30 }".join(
-            [str(item) for item in self.issuer_company_registration],
-        )
-        recipient_company_registration = f"\n { ' ' * 33 }".join(
-            [str(item) for item in self.recipient_company_registration],
-        )
-        out_str: str = f":Locale: {self.locale}\n"
-        out_str += f":Issuer Name: {self.issuer_name}\n"
-        out_str += f":Issuer Company Registrations: {issuer_company_registration}\n"
-        out_str += f":Issuer Address: {self.issuer_address}\n"
-        out_str += f":Recipient Name: {self.recipient_name}\n"
-        out_str += (
-            f":Recipient Company Registrations: {recipient_company_registration}\n"
-        )
-        out_str += f":Recipient Address: {self.recipient_address}\n"
-        out_str += f":Dates: {dates}\n"
-        out_str += f":Date of Issue: {self.date}\n"
-        return clean_out_string(out_str)
diff --git a/mindee/product/us/__init__.py b/mindee/product/us/__init__.py
index 09725bbc..d1c0da1a 100644
--- a/mindee/product/us/__init__.py
+++ b/mindee/product/us/__init__.py
@@ -32,10 +32,3 @@
 from mindee.product.us.us_mail.us_mail_v3_sender_address import (
     UsMailV3SenderAddress,
 )
-from mindee.product.us.w9.w9_v1 import W9V1
-from mindee.product.us.w9.w9_v1_document import (
-    W9V1Document,
-)
-from mindee.product.us.w9.w9_v1_page import (
-    W9V1Page,
-)
diff --git a/mindee/product/us/w9/__init__.py b/mindee/product/us/w9/__init__.py
deleted file mode 100644
index 1d6d24fb..00000000
--- a/mindee/product/us/w9/__init__.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from mindee.product.us.w9.w9_v1 import W9V1
-from mindee.product.us.w9.w9_v1_document import (
-    W9V1Document,
-)
-from mindee.product.us.w9.w9_v1_page import (
-    W9V1Page,
-)
diff --git a/mindee/product/us/w9/w9_v1.py b/mindee/product/us/w9/w9_v1.py
deleted file mode 100644
index ef51345c..00000000
--- a/mindee/product/us/w9/w9_v1.py
+++ /dev/null
@@ -1,42 +0,0 @@
-from typing import List
-
-from mindee.parsing.common.inference import Inference
-from mindee.parsing.common.page import Page
-from mindee.parsing.common.string_dict import StringDict
-from mindee.product.us.w9.w9_v1_document import (
-    W9V1Document,
-)
-from mindee.product.us.w9.w9_v1_page import (
-    W9V1Page,
-)
-
-
-class W9V1(Inference):
-    """W9 API version 1 inference prediction."""
-
-    prediction: W9V1Document
-    """Document-level prediction."""
-    pages: List[Page[W9V1Page]]
-    """Page-level prediction(s)."""
-    endpoint_name = "us_w9"
-    """Name of the endpoint."""
-    endpoint_version = "1"
-    """Version of the endpoint."""
-
-    def __init__(self, raw_prediction: StringDict):
-        """
-        W9 v1 inference.
-
-        :param raw_prediction: Raw prediction from the HTTP response.
-        """
-        super().__init__(raw_prediction)
-
-        self.prediction = W9V1Document(raw_prediction["prediction"])
-        self.pages = []
-        for page in raw_prediction["pages"]:
-            try:
-                page_prediction = page["prediction"]
-            except KeyError:
-                continue
-            if page_prediction:
-                self.pages.append(Page(W9V1Page, page))
diff --git a/mindee/product/us/w9/w9_v1_document.py b/mindee/product/us/w9/w9_v1_document.py
deleted file mode 100644
index 56c22e8b..00000000
--- a/mindee/product/us/w9/w9_v1_document.py
+++ /dev/null
@@ -1,8 +0,0 @@
-from mindee.parsing.common.prediction import Prediction
-
-
-class W9V1Document(Prediction):
-    """W9 API version 1.0 document data."""
-
-    def __str__(self) -> str:
-        return ""
diff --git a/mindee/product/us/w9/w9_v1_page.py b/mindee/product/us/w9/w9_v1_page.py
deleted file mode 100644
index 1c5cf585..00000000
--- a/mindee/product/us/w9/w9_v1_page.py
+++ /dev/null
@@ -1,115 +0,0 @@
-from typing import Optional
-
-from mindee.parsing.common.string_dict import StringDict
-from mindee.parsing.common.summary_helper import clean_out_string
-from mindee.parsing.standard.position import PositionField
-from mindee.parsing.standard.text import StringField
-from mindee.product.us.w9.w9_v1_document import (
-    W9V1Document,
-)
-
-
-class W9V1Page(W9V1Document):
-    """W9 API version 1.0 page data."""
-
-    address: StringField
-    """The street address (number, street, and apt. or suite no.) of the applicant."""
-    business_name: StringField
-    """The business name or disregarded entity name, if different from Name."""
-    city_state_zip: StringField
-    """The city, state, and ZIP code of the applicant."""
-    ein: StringField
-    """The employer identification number."""
-    name: StringField
-    """Name as shown on the applicant's income tax return."""
-    signature_date_position: PositionField
-    """Position of the signature date on the document."""
-    signature_position: PositionField
-    """Position of the signature on the document."""
-    ssn: StringField
-    """The applicant's social security number."""
-    tax_classification: StringField
-    """The federal tax classification, which can vary depending on the revision date."""
-    tax_classification_llc: StringField
-    """Depending on revision year, among S, C, P or D for Limited Liability Company Classification."""
-    tax_classification_other_details: StringField
-    """Tax Classification Other Details."""
-    w9_revision_date: StringField
-    """The Revision month and year of the W9 form."""
-
-    def __init__(
-        self,
-        raw_prediction: StringDict,
-        page_id: Optional[int] = None,
-    ):
-        """
-        W9 page.
-
-        :param raw_prediction: Raw prediction from HTTP response
-        :param page_id: Page number for multi pages pdf input
-        """
-        super().__init__(raw_prediction=raw_prediction, page_id=page_id)
-        self.address = StringField(
-            raw_prediction["address"],
-            page_id=page_id,
-        )
-        self.business_name = StringField(
-            raw_prediction["business_name"],
-            page_id=page_id,
-        )
-        self.city_state_zip = StringField(
-            raw_prediction["city_state_zip"],
-            page_id=page_id,
-        )
-        self.ein = StringField(
-            raw_prediction["ein"],
-            page_id=page_id,
-        )
-        self.name = StringField(
-            raw_prediction["name"],
-            page_id=page_id,
-        )
-        self.signature_date_position = PositionField(
-            raw_prediction["signature_date_position"],
-            page_id=page_id,
-        )
-        self.signature_position = PositionField(
-            raw_prediction["signature_position"],
-            page_id=page_id,
-        )
-        self.ssn = StringField(
-            raw_prediction["ssn"],
-            page_id=page_id,
-        )
-        self.tax_classification = StringField(
-            raw_prediction["tax_classification"],
-            page_id=page_id,
-        )
-        self.tax_classification_llc = StringField(
-            raw_prediction["tax_classification_llc"],
-            page_id=page_id,
-        )
-        self.tax_classification_other_details = StringField(
-            raw_prediction["tax_classification_other_details"],
-            page_id=page_id,
-        )
-        self.w9_revision_date = StringField(
-            raw_prediction["w9_revision_date"],
-            page_id=page_id,
-        )
-
-    def __str__(self) -> str:
-        out_str: str = f":Name: {self.name}\n"
-        out_str += f":SSN: {self.ssn}\n"
-        out_str += f":Address: {self.address}\n"
-        out_str += f":City State Zip: {self.city_state_zip}\n"
-        out_str += f":Business Name: {self.business_name}\n"
-        out_str += f":EIN: {self.ein}\n"
-        out_str += f":Tax Classification: {self.tax_classification}\n"
-        out_str += f":Tax Classification Other Details: {self.tax_classification_other_details}\n"
-        out_str += f":W9 Revision Date: {self.w9_revision_date}\n"
-        out_str += f":Signature Position: {self.signature_position}\n"
-        out_str += f":Signature Date Position: {self.signature_date_position}\n"
-        out_str += f":Tax Classification LLC: {self.tax_classification_llc}\n"
-        out_str += f"{super().__str__()}"
-        return clean_out_string(out_str)
diff --git a/tests/product/proof_of_address/__init__.py b/tests/product/proof_of_address/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/tests/product/proof_of_address/test_proof_of_address_v1.py b/tests/product/proof_of_address/test_proof_of_address_v1.py
deleted file mode 100644
index 7360b9d6..00000000
--- a/tests/product/proof_of_address/test_proof_of_address_v1.py
+++ /dev/null
@@ -1,54 +0,0 @@
-import json
-
-import pytest
-
-from mindee.parsing.common.document import Document
-from mindee.parsing.common.page import Page
-from mindee.product.proof_of_address.proof_of_address_v1 import ProofOfAddressV1
-from mindee.product.proof_of_address.proof_of_address_v1_document import (
-    ProofOfAddressV1Document,
-)
-from tests.product import PRODUCT_DATA_DIR
-
-RESPONSE_DIR = PRODUCT_DATA_DIR / "proof_of_address" / "response_v1"
-
-ProofOfAddressV1DocumentType = Document[
-    ProofOfAddressV1Document,
-    Page[ProofOfAddressV1Document],
-]
-
-
-@pytest.fixture
-def complete_doc() -> ProofOfAddressV1DocumentType:
-    file_path = RESPONSE_DIR / "complete.json"
-    with open(file_path, "r", encoding="utf-8") as open_file:
-        json_data = json.load(open_file)
-    return Document(ProofOfAddressV1, json_data["document"])
-
-
-@pytest.fixture
-def empty_doc() -> ProofOfAddressV1DocumentType:
-    file_path = RESPONSE_DIR / "empty.json"
-    with open(file_path, "r", encoding="utf-8") as open_file:
-        json_data = json.load(open_file)
-    return Document(ProofOfAddressV1, json_data["document"])
-
-
-def test_complete_doc(complete_doc: ProofOfAddressV1DocumentType):
-    file_path = RESPONSE_DIR / "summary_full.rst"
-    with open(file_path, "r", encoding="utf-8") as open_file:
-        reference_str = open_file.read()
-    assert str(complete_doc) == reference_str
-
-
-def test_empty_doc(empty_doc: ProofOfAddressV1DocumentType):
-    prediction = empty_doc.inference.prediction
-    assert prediction.locale.value is None
-    assert prediction.issuer_name.value is None
-    assert len(prediction.issuer_company_registration) == 0
-    assert prediction.issuer_address.value is None
-    assert prediction.recipient_name.value is None
-    assert len(prediction.recipient_company_registration) == 0
-    assert prediction.recipient_address.value is None
-    assert len(prediction.dates) == 0
-    assert prediction.date.value is None
diff --git a/tests/product/us/w9/__init__.py b/tests/product/us/w9/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/tests/product/us/w9/test_w9_v1.py b/tests/product/us/w9/test_w9_v1.py
deleted file mode 100644
index 64d98b13..00000000
--- a/tests/product/us/w9/test_w9_v1.py
+++ /dev/null
@@ -1,77 +0,0 @@
-import json
-
-import pytest
-
-from mindee.parsing.common.document import Document
-from mindee.parsing.common.page import Page
-from mindee.product.us.w9.w9_v1 import W9V1
-from mindee.product.us.w9.w9_v1_document import (
-    W9V1Document,
-)
-from mindee.product.us.w9.w9_v1_page import (
-    W9V1Page,
-)
-from tests.product import PRODUCT_DATA_DIR
-
-RESPONSE_DIR = PRODUCT_DATA_DIR / "us_w9" / "response_v1"
-
-W9V1DocumentType = Document[
-    W9V1Document,
-    Page[W9V1Page],
-]
-
-
-@pytest.fixture
-def complete_doc() -> W9V1DocumentType:
-    file_path = RESPONSE_DIR / "complete.json"
-    with open(file_path, "r", encoding="utf-8") as open_file:
-        json_data = json.load(open_file)
-    return Document(W9V1, json_data["document"])
-
-
-@pytest.fixture
-def empty_doc() -> W9V1DocumentType:
-    file_path = RESPONSE_DIR / "empty.json"
-    with open(file_path, "r", encoding="utf-8") as open_file:
-        json_data = json.load(open_file)
-    return Document(W9V1, json_data["document"])
-
-
-@pytest.fixture
-def complete_page0() -> Page[W9V1Page]:
-    file_path = RESPONSE_DIR / "complete.json"
-    with open(file_path, "r", encoding="utf-8") as open_file:
-        json_data = json.load(open_file)
-    page0 = json_data["document"]["inference"]["pages"][0]
-    return Page(W9V1Page, page0)
-
-
-def test_complete_doc(complete_doc: W9V1DocumentType):
-    file_path = RESPONSE_DIR / "summary_full.rst"
-    with open(file_path, "r", encoding="utf-8") as open_file:
-        reference_str = open_file.read()
-    assert str(complete_doc) == reference_str
-
-
-def test_empty_doc(empty_doc: W9V1DocumentType):
-    prediction = empty_doc.inference.pages[0].prediction
-    assert prediction.name.value is None
-    assert prediction.ssn.value is None
-    assert prediction.address.value is None
-    assert prediction.city_state_zip.value is None
-    assert prediction.business_name.value is None
-    assert prediction.ein.value is None
-    assert prediction.tax_classification.value is None
-    assert prediction.tax_classification_other_details.value is None
-    assert prediction.w9_revision_date.value is None
-    assert not prediction.signature_position.polygon
-    assert not prediction.signature_date_position.polygon
-    assert prediction.tax_classification_llc.value is None
-
-
-def test_complete_page0(complete_page0: Page[W9V1Page]):
-    file_path = RESPONSE_DIR / "summary_page0.rst"
-    with open(file_path, "r", encoding="utf-8") as open_file:
-        reference_str = open_file.read()
-    assert complete_page0.id == 0
-    assert str(complete_page0) == reference_str
diff --git a/tests/product/us/w9/test_w9_v1_regression.py b/tests/product/us/w9/test_w9_v1_regression.py
deleted file mode 100644
index bbed815c..00000000
--- a/tests/product/us/w9/test_w9_v1_regression.py
+++ /dev/null
@@ -1,24 +0,0 @@
-import pytest
-
-from mindee.client import Client
-from mindee.product.us.w9.w9_v1 import W9V1
-from tests.product import PRODUCT_DATA_DIR, get_id, get_version
-
-
-@pytest.mark.regression
-def test_default_sample():
-    client = Client()
-    with open(
-        PRODUCT_DATA_DIR / "us_w9" / "response_v1" / "default_sample.rst",
-        encoding="utf-8",
-    ) as rst_file:
-        rst_ref = rst_file.read()
-
-    sample = client.source_from_path(
-        PRODUCT_DATA_DIR / "us_w9" / "default_sample.jpg",
-    )
-    response = client.parse(W9V1, sample)
-    doc_response = response.document
-    doc_response.id = get_id(rst_ref)
-    doc_response.inference.product.version = get_version(rst_ref)
-    assert str(doc_response) == rst_ref