diff --git a/util/s3Sync.ts b/util/s3Sync.ts
index 881b0f3..9cede37 100644
--- a/util/s3Sync.ts
+++ b/util/s3Sync.ts
@@ -7,6 +7,7 @@ import { logger } from "../server.js";
 import { FolderPaths } from "./serverInit.js";
 import axios from "axios";
 import { UUID } from "crypto";
+import fsPromises from "fs/promises";
 
 const execAsync = promisify(exec);
 
@@ -183,8 +184,11 @@ export function createS3SyncFromEnv(): S3Sync | null {
 
 /**
  * Standalone function to analyze Jobs directory without S3 configuration
+ * Uses streaming to a temporary file to avoid memory issues with large datasets
  */
 export async function analyzeJobsDirectory(): Promise<JobsDirectoryAnalysis> {
+  const tempFilePath = path.join(FolderPaths.Jobs, "..", "jobs_analysis_temp.jsonl");
+
   try {
     logger.info("Starting Jobs directory analysis...");
     //Read from the config.json  file in the root directory to get the bodyshopid
@@ -206,10 +210,14 @@ export async function analyzeJobsDirectory(): Promise<JobsDirectoryAnalysis> {
       };
     }
 
+    // Clear/create temporary file for streaming job stats
+    await fsPromises.writeFile(tempFilePath, "", "utf-8");
+    logger.info(`Created temporary file for streaming analysis: ${tempFilePath}`);
+
     const jobFolders = await readdir(jobsPath);
-    const jobStats: JobFolderStats[] = [];
     let total_documents = 0;
     let total_size_bytes = 0;
+    let total_jobs = 0;
     const aggregated_file_type_stats: { [extension: string]: number } = {};
 
     const uuidRegex = /^[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}$/;
@@ -223,25 +231,47 @@ export async function analyzeJobsDirectory(): Promise<JobsDirectoryAnalysis> {
       // Only process directories
       if (stat.isDirectory()) {
         const folderStats = await analyzeJobFolder(jobsPath, jobFolder, bodyshopid);
-        jobStats.push(folderStats);
+
+        // Stream to file immediately (one JSON object per line)
+        await fsPromises.appendFile(tempFilePath, JSON.stringify(folderStats) + "\n", "utf-8");
+
+        total_jobs++;
         total_documents += folderStats.document_count;
         total_size_bytes += folderStats.total_size_bytes;
+
         // Aggregate file type stats
         for (const [ext, count] of Object.entries(folderStats.file_type_stats)) {
           aggregated_file_type_stats[ext] = (aggregated_file_type_stats[ext] || 0) + count;
         }
+
+        // Log progress every 100 jobs
+        if (total_jobs % 100 === 0) {
+          logger.info(`Progress: Analyzed ${total_jobs} jobs...`);
+        }
       }
     }
 
+    logger.info(`Reading back job stats from temporary file...`);
+
+    // Read back the job stats from file
+    const fileContent = await fsPromises.readFile(tempFilePath, "utf-8");
+    const jobStats: JobFolderStats[] = fileContent
+      .trim()
+      .split("\n")
+      .filter((line) => line.length > 0)
+      .map((line) => JSON.parse(line));
+
+    // Sort by jobid
+    jobStats.sort((a, b) => a.jobid?.localeCompare(b.jobid!) || 0);
+
     const analysis: JobsDirectoryAnalysis = {
       bodyshopid, //read from the config.json  file in the root directory
-
-      total_jobs: jobStats.length,
+      total_jobs,
       total_documents,
       total_size_bytes,
       total_size_mb: Math.round((total_size_bytes / (1024 * 1024)) * 100) / 100,
       file_type_stats: aggregated_file_type_stats,
-      media_analytics_details: { data: jobStats.sort((a, b) => a.jobid?.localeCompare(b.jobid!) || 0) }
+      media_analytics_details: { data: jobStats }
     };
 
     logger.info(
@@ -249,12 +279,27 @@ export async function analyzeJobsDirectory(): Promise<JobsDirectoryAnalysis> {
     );
 
     //Add an upload to the IO database to categorize all of this.
-    const apiURL = "https://api.test.imex.online/analytics/documents"; //TODO: don't hardcode and point to prod.
+    const apiURL = process.env.IS_TEST
+      ? "https://api.test.imex.online/analytics/documents"
+      : "https://api.imex.online/analytics/documents";
     const result = await axios.post(apiURL, { data: analysis });
 
+    // Clean up temporary file
+    await fsPromises.unlink(tempFilePath);
+    logger.info("Cleaned up temporary analysis file");
+
     return analysis;
   } catch (error) {
     logger.error("Failed to analyze Jobs directory:", JSON.stringify(error, null, 4));
+    // Attempt to clean up temp file on error
+    try {
+      if (await fs.pathExists(tempFilePath)) {
+        await fs.remove(tempFilePath);
+        logger.info("Cleaned up temporary file after error");
+      }
+    } catch (cleanupError) {
+      logger.warn("Failed to clean up temporary file:", cleanupError);
+    }
     throw error;
   }
 }