diff --git a/apps/api/src/scraper/scrapeURL/engines/pdf/index.ts b/apps/api/src/scraper/scrapeURL/engines/pdf/index.ts
index 6bac2ba4..0ea1d579 100644
--- a/apps/api/src/scraper/scrapeURL/engines/pdf/index.ts
+++ b/apps/api/src/scraper/scrapeURL/engines/pdf/index.ts
@@ -1,4 +1,3 @@
-import { createReadStream, promises as fs } from "node:fs";
 import { Meta } from "../..";
 import { EngineScrapeResult } from "..";
 import * as marked from "marked";
@@ -8,108 +7,51 @@ import * as Sentry from "@sentry/node";
 import escapeHtml from "escape-html";
 import PdfParse from "pdf-parse";
 import { downloadFile, fetchFileToBuffer } from "../utils/downloadFile";
-import { RemoveFeatureError } from "../../error";
+import { RemoveFeatureError, UnsupportedFileError } from "../../error";
+import { readFile, unlink } from "node:fs/promises";
+import path from "node:path";
 
 type PDFProcessorResult = { html: string; markdown?: string };
 
-async function scrapePDFWithLlamaParse(
+const MAX_FILE_SIZE = 19 * 1024 * 1024; // 19MB
+
+async function scrapePDFWithRunPodMU(
   meta: Meta,
   tempFilePath: string,
   timeToRun: number | undefined,
+  base64Content: string,
 ): Promise<PDFProcessorResult> {
-  meta.logger.debug("Processing PDF document with LlamaIndex", {
+  meta.logger.debug("Processing PDF document with RunPod MU", {
     tempFilePath,
   });
 
-  const uploadForm = new FormData();
-
-  // This is utterly stupid but it works! - mogery
-  uploadForm.append("file", {
-    [Symbol.toStringTag]: "Blob",
-    name: tempFilePath,
-    stream() {
-      return createReadStream(
-        tempFilePath,
-      ) as unknown as ReadableStream<Uint8Array>;
-    },
-    bytes() {
-      throw Error("Unimplemented in mock Blob: bytes");
-    },
-    arrayBuffer() {
-      throw Error("Unimplemented in mock Blob: arrayBuffer");
-    },
-    size: (await fs.stat(tempFilePath)).size,
-    text() {
-      throw Error("Unimplemented in mock Blob: text");
-    },
-    slice(start, end, contentType) {
-      throw Error("Unimplemented in mock Blob: slice");
-    },
-    type: "application/pdf",
-  } as Blob);
-
-  const upload = await robustFetch({
-    url: "https://api.cloud.llamaindex.ai/api/parsing/upload",
+  const result = await robustFetch({
+    url:
+      "https://api.runpod.ai/v2/" + process.env.RUNPOD_MU_POD_ID + "/runsync",
     method: "POST",
     headers: {
-      Authorization: `Bearer ${process.env.LLAMAPARSE_API_KEY}`,
+      Authorization: `Bearer ${process.env.RUNPOD_MU_API_KEY}`,
+    },
+    body: {
+      input: {
+        file_content: base64Content,
+        filename: path.basename(tempFilePath) + ".pdf",
+      },
     },
-    body: uploadForm,
     logger: meta.logger.child({
-      method: "scrapePDFWithLlamaParse/upload/robustFetch",
+      method: "scrapePDFWithRunPodMU/robustFetch",
     }),
     schema: z.object({
-      id: z.string(),
+      output: z.object({
+        markdown: z.string(),
+      }),
     }),
   });
 
-  const jobId = upload.id;
-
-  // TODO: timeout, retries
-  const startedAt = Date.now();
-  const timeout = timeToRun ?? 300000;
-
-  while (Date.now() <= startedAt + timeout) {
-    try {
-      const result = await robustFetch({
-        url: `https://api.cloud.llamaindex.ai/api/parsing/job/${jobId}/result/markdown`,
-        method: "GET",
-        headers: {
-          Authorization: `Bearer ${process.env.LLAMAPARSE_API_KEY}`,
-        },
-        logger: meta.logger.child({
-          method: "scrapePDFWithLlamaParse/result/robustFetch",
-        }),
-        schema: z.object({
-          markdown: z.string(),
-        }),
-      });
-      return {
-        markdown: result.markdown,
-        html: await marked.parse(result.markdown, { async: true }),
-      };
-    } catch (e) {
-      if (e instanceof Error && e.message === "Request sent failure status") {
-        if ((e.cause as any).response.status === 404) {
-          // no-op, result not up yet
-        } else if ((e.cause as any).response.body.includes("PDF_IS_BROKEN")) {
-          // URL is not a PDF, actually!
-          meta.logger.debug("URL is not actually a PDF, signalling...");
-          throw new RemoveFeatureError(["pdf"]);
-        } else {
-          throw new Error("LlamaParse threw an error", {
-            cause: e.cause,
-          });
-        }
-      } else {
-        throw e;
-      }
-    }
-
-    await new Promise<void>((resolve) => setTimeout(() => resolve(), 250));
-  }
-
-  throw new Error("LlamaParse timed out");
+  return {
+    markdown: result.output.markdown,
+    html: await marked.parse(result.output.markdown, { async: true }),
+  };
 }
 
 async function scrapePDFWithParsePDF(
@@ -118,7 +60,7 @@ async function scrapePDFWithParsePDF(
 ): Promise<PDFProcessorResult> {
   meta.logger.debug("Processing PDF document with parse-pdf", { tempFilePath });
 
-  const result = await PdfParse(await fs.readFile(tempFilePath));
+  const result = await PdfParse(await readFile(tempFilePath));
   const escaped = escapeHtml(result.text);
 
   return {
@@ -147,59 +89,57 @@ export async function scrapePDF(
 
   let result: PDFProcessorResult | null = null;
 
-  // First, try parsing with PdfParse
-  result = await scrapePDFWithParsePDF(
-    {
-      ...meta,
-      logger: meta.logger.child({
-        method: "scrapePDF/scrapePDFWithParsePDF",
-      }),
-    },
-    tempFilePath,
-  );
+  const base64Content = (await readFile(tempFilePath)).toString("base64");
 
-  // If the parsed text is under 500 characters and LLAMAPARSE_API_KEY exists, try LlamaParse
+  // First try RunPod MU if conditions are met
   if (
-    result.markdown &&
-    result.markdown.length < 500 &&
-    process.env.LLAMAPARSE_API_KEY
+    base64Content.length < MAX_FILE_SIZE &&
+    process.env.RUNPOD_MU_API_KEY &&
+    process.env.RUNPOD_MU_POD_ID
   ) {
     try {
-      const llamaResult = await scrapePDFWithLlamaParse(
+      result = await scrapePDFWithRunPodMU(
         {
           ...meta,
           logger: meta.logger.child({
-            method: "scrapePDF/scrapePDFWithLlamaParse",
+            method: "scrapePDF/scrapePDFWithRunPodMU",
           }),
         },
         tempFilePath,
         timeToRun,
+        base64Content,
       );
-      result = llamaResult; // Use LlamaParse result if successful
     } catch (error) {
-      if (error instanceof Error && error.message === "LlamaParse timed out") {
-        meta.logger.warn("LlamaParse timed out -- using parse-pdf result", {
-          error,
-        });
-      } else if (error instanceof RemoveFeatureError) {
+      if (error instanceof RemoveFeatureError) {
         throw error;
-      } else {
-        meta.logger.warn(
-          "LlamaParse failed to parse PDF -- using parse-pdf result",
-          { error },
-        );
-        Sentry.captureException(error);
       }
+      meta.logger.warn(
+        "RunPod MU failed to parse PDF -- falling back to parse-pdf",
+        { error },
+      );
+      Sentry.captureException(error);
     }
   }
 
-  await fs.unlink(tempFilePath);
+  // If RunPod MU failed or wasn't attempted, use PdfParse
+  if (!result) {
+    result = await scrapePDFWithParsePDF(
+      {
+        ...meta,
+        logger: meta.logger.child({
+          method: "scrapePDF/scrapePDFWithParsePDF",
+        }),
+      },
+      tempFilePath,
+    );
+  }
+
+  await unlink(tempFilePath);
 
   return {
     url: response.url,
     statusCode: response.status,
-
-    html: result.html,
-    markdown: result.markdown,
+    html: result?.html ?? "",
+    markdown: result?.markdown ?? "",
   };
 }