diff --git a/client/ayon_core/plugins/publish/extract_oiio_postprocess.py b/client/ayon_core/plugins/publish/extract_oiio_postprocess.py
new file mode 100644
index 0000000000..2b432f2a0a
--- /dev/null
+++ b/client/ayon_core/plugins/publish/extract_oiio_postprocess.py
@@ -0,0 +1,353 @@
+from __future__ import annotations
+from typing import Any, Optional
+import os
+import copy
+import clique
+import pyblish.api
+
+from ayon_core.pipeline import (
+    publish,
+    get_temp_dir
+)
+from ayon_core.lib import (
+    is_oiio_supported,
+    get_oiio_tool_args,
+    run_subprocess
+)
+from ayon_core.lib.transcoding import IMAGE_EXTENSIONS
+from ayon_core.lib.profiles_filtering import filter_profiles
+
+
+class ExtractOIIOPostProcess(publish.Extractor):
+    """Process representations through `oiiotool` with profile defined
+    settings so that e.g. color space conversions can be applied or images
+    could be converted to scanline, resized, etc. regardless of colorspace
+    data.
+    """
+
+    label = "OIIO Post Process"
+    order = pyblish.api.ExtractorOrder + 0.020
+
+    settings_category = "core"
+
+    optional = True
+
+    # Supported extensions
+    supported_exts = {ext.lstrip(".") for ext in IMAGE_EXTENSIONS}
+
+    # Configurable by Settings
+    profiles = None
+    options = None
+
+    def process(self, instance):
+        if instance.data.get("farm"):
+            self.log.debug("Should be processed on farm, skipping.")
+            return
+
+        if not self.profiles:
+            self.log.debug("No profiles present for OIIO Post Process")
+            return
+
+        if not instance.data.get("representations"):
+            self.log.debug("No representations, skipping.")
+            return
+
+        if not is_oiio_supported():
+            self.log.warning("OIIO not supported, no transcoding possible.")
+            return
+
+        new_representations = []
+        for idx, repre in enumerate(list(instance.data["representations"])):
+            self.log.debug("repre ({}): `{}`".format(idx + 1, repre["name"]))
+            if not self._repre_is_valid(repre):
+                continue
+
+            # We check profile per representation name and extension because
+            # it's included in the profile check. As such, an instance may have
+            # a different profile applied per representation.
+            profile = self._get_profile(
+                instance,
+                repre
+            )
+            if not profile:
+                continue
+
+            # Get representation files to convert
+            if isinstance(repre["files"], list):
+                repre_files_to_convert = copy.deepcopy(repre["files"])
+            else:
+                repre_files_to_convert = [repre["files"]]
+
+            added_representations = False
+            added_review = False
+
+            # Process each output definition
+            for output_def in profile["outputs"]:
+
+                # Local copy to avoid accidental mutable changes
+                files_to_convert = list(repre_files_to_convert)
+
+                output_name = output_def["name"]
+                new_repre = copy.deepcopy(repre)
+
+                original_staging_dir = new_repre["stagingDir"]
+                new_staging_dir = get_temp_dir(
+                    project_name=instance.context.data["projectName"],
+                    use_local_temp=True,
+                )
+                new_repre["stagingDir"] = new_staging_dir
+
+                output_extension = output_def["extension"]
+                output_extension = output_extension.replace('.', '')
+                self._rename_in_representation(new_repre,
+                                               files_to_convert,
+                                               output_name,
+                                               output_extension)
+
+                sequence_files = self._translate_to_sequence(files_to_convert)
+                self.log.debug("Files to convert: {}".format(sequence_files))
+                for file_name in sequence_files:
+                    if isinstance(file_name, clique.Collection):
+                        # Convert to filepath that can be directly converted
+                        # by oiio like `frame.1001-1025%04d.exr`
+                        file_name: str = file_name.format(
+                            "{head}{range}{padding}{tail}"
+                        )
+
+                    self.log.debug("Transcoding file: `{}`".format(file_name))
+                    input_path = os.path.join(original_staging_dir,
+                                              file_name)
+                    output_path = self._get_output_file_path(input_path,
+                                                             new_staging_dir,
+                                                             output_extension)
+
+                    # TODO: Support formatting with dynamic keys from the
+                    #  representation, like e.g. colorspace config, display,
+                    #  view, etc.
+                    input_arguments: list[str] = output_def.get(
+                        "input_arguments", []
+                    )
+                    output_arguments: list[str] = output_def.get(
+                        "output_arguments", []
+                    )
+
+                    # Prepare subprocess arguments
+                    oiio_cmd = get_oiio_tool_args(
+                        "oiiotool",
+                        *input_arguments,
+                        input_path,
+                        *output_arguments,
+                        "-o",
+                        output_path
+                    )
+
+                    self.log.debug(
+                        "Conversion command: {}".format(" ".join(oiio_cmd)))
+                    run_subprocess(oiio_cmd, logger=self.log)
+
+                # cleanup temporary transcoded files
+                for file_name in new_repre["files"]:
+                    transcoded_file_path = os.path.join(new_staging_dir,
+                                                        file_name)
+                    instance.context.data["cleanupFullPaths"].append(
+                        transcoded_file_path)
+
+                custom_tags = output_def.get("custom_tags")
+                if custom_tags:
+                    if new_repre.get("custom_tags") is None:
+                        new_repre["custom_tags"] = []
+                    new_repre["custom_tags"].extend(custom_tags)
+
+                # Add additional tags from output definition to representation
+                if new_repre.get("tags") is None:
+                    new_repre["tags"] = []
+                for tag in output_def["tags"]:
+                    if tag not in new_repre["tags"]:
+                        new_repre["tags"].append(tag)
+
+                    if tag == "review":
+                        added_review = True
+
+                # If there is only 1 file outputted then convert list to
+                # string, because that'll indicate that it is not a sequence.
+                if len(new_repre["files"]) == 1:
+                    new_repre["files"] = new_repre["files"][0]
+
+                # If the source representation has "review" tag, but it's not
+                # part of the output definition tags, then both the
+                # representations will be transcoded in ExtractReview and
+                # their outputs will clash in integration.
+                if "review" in repre.get("tags", []):
+                    added_review = True
+
+                new_representations.append(new_repre)
+                added_representations = True
+
+            if added_representations:
+                self._mark_original_repre_for_deletion(
+                    repre, profile, added_review
+                )
+
+            tags = repre.get("tags") or []
+            if "delete" in tags and "thumbnail" not in tags:
+                instance.data["representations"].remove(repre)
+
+        instance.data["representations"].extend(new_representations)
+
+    def _rename_in_representation(self, new_repre, files_to_convert,
+                                  output_name, output_extension):
+        """Replace old extension with new one everywhere in representation.
+
+        Args:
+            new_repre (dict)
+            files_to_convert (list): of filenames from repre["files"],
+                standardized to always list
+            output_name (str): key of output definition from Settings,
+                if "<passthrough>" token used, keep original repre name
+            output_extension (str): extension from output definition
+        """
+        if output_name != "passthrough":
+            new_repre["name"] = output_name
+        if not output_extension:
+            return
+
+        new_repre["ext"] = output_extension
+        new_repre["outputName"] = output_name
+
+        renamed_files = []
+        for file_name in files_to_convert:
+            file_name, _ = os.path.splitext(file_name)
+            file_name = '{}.{}'.format(file_name,
+                                       output_extension)
+            renamed_files.append(file_name)
+        new_repre["files"] = renamed_files
+
+    def _translate_to_sequence(self, files_to_convert):
+        """Returns original list or a clique.Collection of a sequence.
+
+        Uses clique to find frame sequence Collection.
+        If sequence not found, it returns original list.
+
+        Args:
+            files_to_convert (list): list of file names
+        Returns:
+            list[str | clique.Collection]: List of filepaths or a list
+                of Collections (usually one, unless there are holes)
+        """
+        pattern = [clique.PATTERNS["frames"]]
+        collections, _ = clique.assemble(
+            files_to_convert, patterns=pattern,
+            assume_padded_when_ambiguous=True)
+        if collections:
+            if len(collections) > 1:
+                raise ValueError(
+                    "Too many collections {}".format(collections))
+
+            collection = collections[0]
+            # TODO: Technically oiiotool supports holes in the sequence as well
+            #  using the dedicated --frames argument to specify the frames.
+            #  We may want to use that too so conversions of sequences with
+            #  holes will perform faster as well.
+            # Separate the collection so that we have no holes/gaps per
+            # collection.
+            return collection.separate()
+
+        return files_to_convert
+
+    def _get_output_file_path(self, input_path, output_dir,
+                              output_extension):
+        """Create output file name path."""
+        file_name = os.path.basename(input_path)
+        file_name, input_extension = os.path.splitext(file_name)
+        if not output_extension:
+            output_extension = input_extension.replace(".", "")
+        new_file_name = '{}.{}'.format(file_name,
+                                       output_extension)
+        return os.path.join(output_dir, new_file_name)
+
+    def _get_profile(
+            self,
+            instance: pyblish.api.Instance,
+            repre: dict
+    ) -> Optional[dict[str, Any]]:
+        """Returns profile if it should process this instance."""
+        host_name = instance.context.data["hostName"]
+        product_type = instance.data["productType"]
+        product_name = instance.data["productName"]
+        task_data = instance.data["anatomyData"].get("task", {})
+        task_name = task_data.get("name")
+        task_type = task_data.get("type")
+        repre_name: str = repre["name"]
+        repre_ext: str = repre["ext"]
+        filtering_criteria = {
+            "host_names": host_name,
+            "product_types": product_type,
+            "product_names": product_name,
+            "task_names": task_name,
+            "task_types": task_type,
+            "representation_names": repre_name,
+            "representation_exts": repre_ext,
+        }
+        profile = filter_profiles(self.profiles, filtering_criteria,
+                                  logger=self.log)
+
+        if not profile:
+            self.log.debug(
+              "Skipped instance. None of profiles in presets are for"
+              f" Host: \"{host_name}\" |"
+              f" Product types: \"{product_type}\" |"
+              f" Product names: \"{product_name}\" |"
+              f" Task name \"{task_name}\" |"
+              f" Task type \"{task_type}\" |"
+              f" Representation: \"{repre_name}\" (.{repre_ext})"
+            )
+
+        return profile
+
+    def _repre_is_valid(self, repre: dict) -> bool:
+        """Validation if representation should be processed.
+
+        Args:
+            repre (dict): Representation which should be checked.
+
+        Returns:
+            bool: False if can't be processed else True.
+        """
+        if repre.get("ext") not in self.supported_exts:
+            self.log.debug((
+                "Representation '{}' has unsupported extension: '{}'. Skipped."
+            ).format(repre["name"], repre.get("ext")))
+            return False
+
+        if not repre.get("files"):
+            self.log.debug((
+                "Representation '{}' has empty files. Skipped."
+            ).format(repre["name"]))
+            return False
+
+        if "delete" in repre.get("tags", []):
+            self.log.debug((
+                "Representation '{}' has 'delete' tag. Skipped."
+            ).format(repre["name"]))
+            return False
+
+        return True
+
+    def _mark_original_repre_for_deletion(
+        self,
+        repre: dict,
+        profile: dict,
+        added_review: bool
+    ):
+        """If new transcoded representation created, delete old."""
+        if not repre.get("tags"):
+            repre["tags"] = []
+
+        delete_original = profile["delete_original"]
+
+        if delete_original:
+            if "delete" not in repre["tags"]:
+                repre["tags"].append("delete")
+
+        if added_review and "review" in repre["tags"]:
+            repre["tags"].remove("review")
diff --git a/server/settings/publish_plugins.py b/server/settings/publish_plugins.py
index e939a6518b..a5b84354bd 100644
--- a/server/settings/publish_plugins.py
+++ b/server/settings/publish_plugins.py
@@ -578,12 +578,125 @@ class ExtractOIIOTranscodeProfileModel(BaseSettingsModel):
 
 
 class ExtractOIIOTranscodeModel(BaseSettingsModel):
+    """Color conversion transcoding using OIIO for images mostly aimed at
+    transcoding for reviewables (it'll process and output only RGBA channels).
+    """
     enabled: bool = SettingsField(True)
     profiles: list[ExtractOIIOTranscodeProfileModel] = SettingsField(
         default_factory=list, title="Profiles"
     )
 
 
+class ExtractOIIOPostProcessOutputModel(BaseSettingsModel):
+    _layout = "expanded"
+    name: str = SettingsField(
+        "",
+        title="Name",
+        description="Output name (no space)",
+        regex=r"[a-zA-Z0-9_]([a-zA-Z0-9_\.\-]*[a-zA-Z0-9_])?$",
+    )
+    extension: str = SettingsField(
+        "",
+        title="Extension",
+        description=(
+            "Target extension. If left empty, original"
+            " extension is used."
+        ),
+    )
+    input_arguments: list[str] = SettingsField(
+        default_factory=list,
+        title="Input arguments",
+        description="Arguments passed prior to the input file argument.",
+    )
+    output_arguments: list[str] = SettingsField(
+        default_factory=list,
+        title="Output arguments",
+        description="Arguments passed prior to the -o argument.",
+    )
+    tags: list[str] = SettingsField(
+        default_factory=list,
+        title="Tags",
+        description=(
+            "Additional tags that will be added to the created representation."
+            "\nAdd *review* tag to create review from the transcoded"
+            " representation instead of the original."
+        )
+    )
+    custom_tags: list[str] = SettingsField(
+        default_factory=list,
+        title="Custom Tags",
+        description=(
+            "Additional custom tags that will be added"
+            " to the created representation."
+        )
+    )
+
+
+class ExtractOIIOPostProcessProfileModel(BaseSettingsModel):
+    host_names: list[str] = SettingsField(
+        section="Profile",
+        default_factory=list,
+        title="Host names"
+    )
+    task_types: list[str] = SettingsField(
+        default_factory=list,
+        title="Task types",
+        enum_resolver=task_types_enum
+    )
+    task_names: list[str] = SettingsField(
+        default_factory=list,
+        title="Task names"
+    )
+    product_types: list[str] = SettingsField(
+        default_factory=list,
+        title="Product types"
+    )
+    product_names: list[str] = SettingsField(
+        default_factory=list,
+        title="Product names"
+    )
+    representation_names: list[str] = SettingsField(
+        default_factory=list,
+        title="Representation names",
+    )
+    representation_exts: list[str] = SettingsField(
+        default_factory=list,
+        title="Representation extensions",
+    )
+    delete_original: bool = SettingsField(
+        True,
+        title="Delete Original Representation",
+        description=(
+            "Choose to preserve or remove the original representation.\n"
+            "Keep in mind that if the transcoded representation includes"
+            " a `review` tag, it will take precedence over"
+            " the original for creating reviews."
+        ),
+        section="Conversion Outputs",
+    )
+    outputs: list[ExtractOIIOPostProcessOutputModel] = SettingsField(
+        default_factory=list,
+        title="Output Definitions",
+    )
+
+    @validator("outputs")
+    def validate_unique_outputs(cls, value):
+        ensure_unique_names(value)
+        return value
+
+
+class ExtractOIIOPostProcessModel(BaseSettingsModel):
+    """Process representation images with `oiiotool` on publish.
+
+    This could be used to convert images to different formats, convert to
+    scanline images or flatten deep images.
+    """
+    enabled: bool = SettingsField(True)
+    profiles: list[ExtractOIIOPostProcessProfileModel] = SettingsField(
+        default_factory=list, title="Profiles"
+    )
+
+
 # --- [START] Extract Review ---
 class ExtractReviewFFmpegModel(BaseSettingsModel):
     video_filters: list[str] = SettingsField(
@@ -1135,6 +1248,10 @@ class PublishPuginsModel(BaseSettingsModel):
         default_factory=ExtractOIIOTranscodeModel,
         title="Extract OIIO Transcode"
     )
+    ExtractOIIOPostProcess: ExtractOIIOPostProcessModel = SettingsField(
+        default_factory=ExtractOIIOPostProcessModel,
+        title="Extract OIIO Post Process"
+    )
     ExtractReview: ExtractReviewModel = SettingsField(
         default_factory=ExtractReviewModel,
         title="Extract Review"
@@ -1362,6 +1479,10 @@ DEFAULT_PUBLISH_VALUES = {
         "enabled": True,
         "profiles": []
     },
+    "ExtractOIIOPostProcess": {
+        "enabled": True,
+        "profiles": []
+    },
     "ExtractReview": {
         "enabled": True,
         "profiles": [