diff --git a/web/apps/photos/src/utils/machineLearning/faceCrop.ts b/web/apps/photos/src/utils/machineLearning/faceCrop.ts
index be0aa215d..ea6db2608 100644
--- a/web/apps/photos/src/utils/machineLearning/faceCrop.ts
+++ b/web/apps/photos/src/utils/machineLearning/faceCrop.ts
@@ -1,23 +1,16 @@
-import log from "@/next/log";
 import { CacheStorageService } from "@ente/shared/storage/cacheStorage";
 import { CACHES } from "@ente/shared/storage/cacheStorage/constants";
-import { getBlobFromCache } from "@ente/shared/storage/cacheStorage/helpers";
-import { compose, Matrix, scale, translate } from "transformation-matrix";
-import { BlobOptions, Dimensions } from "types/image";
+import { BlobOptions } from "types/image";
 import {
-    AlignedFace,
     FaceAlignment,
     FaceCrop,
     FaceCropConfig,
-    FaceDetection,
-    MlFileData,
     StoredFaceCrop,
 } from "types/machineLearning";
 import { cropWithRotation, imageBitmapToBlob } from "utils/image";
 import { enlargeBox } from ".";
 import { Box } from "../../../thirdparty/face-api/classes";
 import { getAlignedFaceBox } from "./faceAlign";
-import { transformBox, transformPoints } from "./transform";
 
 export function getFaceCrop(
     imageBitmap: ImageBitmap,
@@ -38,7 +31,16 @@ export function getFaceCrop(
     };
 }
 
-export async function storeFaceCropForBlob(
+export async function storeFaceCrop(
+    faceId: string,
+    faceCrop: FaceCrop,
+    blobOptions: BlobOptions,
+): Promise<StoredFaceCrop> {
+    const faceCropBlob = await imageBitmapToBlob(faceCrop.image, blobOptions);
+    return storeFaceCropForBlob(faceId, faceCrop.imageBox, faceCropBlob);
+}
+
+async function storeFaceCropForBlob(
     faceId: string,
     imageBox: Box,
     faceCropBlob: Blob,
@@ -52,166 +54,3 @@ export async function storeFaceCropForBlob(
         imageBox: imageBox,
     };
 }
-
-export async function storeFaceCrop(
-    faceId: string,
-    faceCrop: FaceCrop,
-    blobOptions: BlobOptions,
-): Promise<StoredFaceCrop> {
-    const faceCropBlob = await imageBitmapToBlob(faceCrop.image, blobOptions);
-    return storeFaceCropForBlob(faceId, faceCrop.imageBox, faceCropBlob);
-}
-
-export async function getFaceCropBlobFromStorage(
-    storedFaceCrop: StoredFaceCrop,
-): Promise<Blob> {
-    return getBlobFromCache(CACHES.FACE_CROPS, storedFaceCrop.imageUrl);
-}
-
-export async function getFaceCropFromStorage(
-    storedFaceCrop: StoredFaceCrop,
-): Promise<FaceCrop> {
-    const faceCropBlob = await getFaceCropBlobFromStorage(storedFaceCrop);
-    const faceCropImage = await createImageBitmap(faceCropBlob);
-
-    return {
-        image: faceCropImage,
-        imageBox: storedFaceCrop.imageBox,
-    };
-}
-
-export async function removeOldFaceCrops(
-    oldMLFileData: MlFileData,
-    newMLFileData: MlFileData,
-) {
-    const newFaceCropUrls =
-        newMLFileData?.faces
-            ?.map((f) => f.crop?.imageUrl)
-            ?.filter((fc) => fc !== null && fc !== undefined) || [];
-
-    const oldFaceCropUrls =
-        oldMLFileData?.faces
-            ?.map((f) => f.crop?.imageUrl)
-            ?.filter((fc) => fc !== null && fc !== undefined) || [];
-
-    const unusedFaceCropUrls = oldFaceCropUrls.filter(
-        (oldUrl) => !newFaceCropUrls.includes(oldUrl),
-    );
-    if (!unusedFaceCropUrls || unusedFaceCropUrls.length < 1) {
-        return;
-    }
-
-    return removeFaceCropUrls(unusedFaceCropUrls);
-}
-
-export async function removeFaceCropUrls(faceCropUrls: Array<string>) {
-    log.info("Removing face crop urls: ", JSON.stringify(faceCropUrls));
-    const faceCropCache = await CacheStorageService.open(CACHES.FACE_CROPS);
-    const urlRemovalPromises = faceCropUrls?.map((url) =>
-        faceCropCache.delete(url),
-    );
-    return urlRemovalPromises && Promise.all(urlRemovalPromises);
-}
-
-export function extractFaceImageFromCrop(
-    faceCrop: FaceCrop,
-    box: Box,
-    rotation: number,
-    faceSize: number,
-): ImageBitmap {
-    const faceCropImage = faceCrop?.image;
-    let imageBox = faceCrop?.imageBox;
-    if (!faceCropImage || !imageBox) {
-        throw Error("Face crop not present");
-    }
-
-    // TODO: Have better serialization to avoid creating new object manually when calling class methods
-    imageBox = new Box(imageBox);
-    const scale = faceCropImage.width / imageBox.width;
-    const transformedBox = box
-        .shift(-imageBox.x, -imageBox.y)
-        .rescale(scale)
-        .round();
-    // log.info({ box, imageBox, faceCropImage, scale, scaledBox, scaledImageBox, shiftedBox });
-
-    const faceSizeDimentions: Dimensions = {
-        width: faceSize,
-        height: faceSize,
-    };
-    const faceImage = cropWithRotation(
-        faceCropImage,
-        transformedBox,
-        rotation,
-        faceSizeDimentions,
-        faceSizeDimentions,
-    );
-
-    return faceImage;
-}
-
-export async function ibExtractFaceImageFromCrop(
-    faceCrop: FaceCrop,
-    alignment: FaceAlignment,
-    faceSize: number,
-): Promise<ImageBitmap> {
-    const box = getAlignedFaceBox(alignment);
-
-    return extractFaceImageFromCrop(
-        faceCrop,
-        box,
-        alignment.rotation,
-        faceSize,
-    );
-}
-
-export async function ibExtractFaceImagesFromCrops(
-    faces: Array<AlignedFace>,
-    faceSize: number,
-): Promise<Array<ImageBitmap>> {
-    const faceImagePromises = faces.map(async (alignedFace) => {
-        const faceCrop = await getFaceCropFromStorage(alignedFace.crop);
-        return ibExtractFaceImageFromCrop(
-            faceCrop,
-            alignedFace.alignment,
-            faceSize,
-        );
-    });
-    return Promise.all(faceImagePromises);
-}
-
-export function transformFace(faceDetection: FaceDetection, transform: Matrix) {
-    return {
-        ...faceDetection,
-
-        box: transformBox(faceDetection.box, transform),
-        landmarks: transformPoints(faceDetection.landmarks, transform),
-    };
-}
-
-export function transformToFaceCropDims(
-    faceCrop: FaceCrop,
-    faceDetection: FaceDetection,
-) {
-    const imageBox = new Box(faceCrop.imageBox);
-
-    const transform = compose(
-        scale(faceCrop.image.width / imageBox.width),
-        translate(-imageBox.x, -imageBox.y),
-    );
-
-    return transformFace(faceDetection, transform);
-}
-
-export function transformToImageDims(
-    faceCrop: FaceCrop,
-    faceDetection: FaceDetection,
-) {
-    const imageBox = new Box(faceCrop.imageBox);
-
-    const transform = compose(
-        translate(imageBox.x, imageBox.y),
-        scale(imageBox.width / faceCrop.image.width),
-    );
-
-    return transformFace(faceDetection, transform);
-}