diff --git a/api/src/production/server.py b/api/src/production/server.py
index cf0bdbe..a491a0e 100644
--- a/api/src/production/server.py
+++ b/api/src/production/server.py
@@ -45,7 +45,7 @@ QUEUED_INFERENCES = max(0, int(os.getenv("QUEUED_INFERENCES", "1")))
 # PyTorch threads used by EACH running prediction. Total CPU use is roughly
 # PARALLEL_INFERENCES * TORCH_THREADS, so keep the product <= your CPU cores.
 TORCH_THREADS = max(1, int(os.getenv("TORCH_THREADS", "1")))
-MAX_UPLOAD_BYTES = 5 * 1024 * 1024
+MAX_UPLOAD_BYTES = int(max(1, float(os.getenv("MAX_UPLOAD_MEGABYTES", "15"))) * 1024 * 1024)
 MAX_FRAME_BYTES = 1 * 1024 * 1024
 MAX_IMAGE_PIXELS = 20_000_000
 MAX_WEBSOCKETS = 3
diff --git a/caddy/Caddyfile b/caddy/Caddyfile
index e773af8..9505ad8 100644
--- a/caddy/Caddyfile
+++ b/caddy/Caddyfile
@@ -1,5 +1,5 @@
 {
-	email marvin.krausser277@gmail.com
+	email {$CADDY_EMAIL:marvin.krausser277@gmail.com}
 }
 
 (common) {
@@ -25,7 +25,7 @@ marvinkrausser.com {
 api.marvinkrausser.com {
 	import common
 	request_body {
-		max_size 10MB
+		max_size {$CADDY_MAX_BODY:16MB}
 	}
 	reverse_proxy cnn_api:8000
 }
diff --git a/compose.yaml b/compose.yaml
index 2019cde..f185e6c 100644
--- a/compose.yaml
+++ b/compose.yaml
@@ -7,6 +7,10 @@ services:
       - "80:80"
       - "443:443"
     restart: unless-stopped
+    environment:
+      - CADDY_EMAIL=marvin.krausser277@gmail.com
+      # Keep about 1 MB above the API's MAX_UPLOAD_MEGABYTES (multipart overhead).
+      - CADDY_MAX_BODY=16MB
     volumes:
       - ./caddy/data:/data/caddy
       - ./caddy/config:/config/caddy
@@ -41,6 +45,7 @@ services:
       - PREDICT_RATE_WINDOW=60
       - REVIEW_RATE_LIMIT=5
       - REVIEW_RATE_WINDOW=60
+      - MAX_UPLOAD_MEGABYTES=15
     cpus: "5"
     mem_limit: 3g