diff --git a/Dockerfile b/Dockerfile
index c43e591..ff3e37b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -76,4 +76,3 @@ RUN pip install --no-cache-dir torch torchvision --index-url https://download.py
 RUN chown -R appuser:appuser /app \
     && chown -R appuser:appuser /usr/local/lib/python3.12/site-packages/rapidocr/models
 ENV CONVERSION_ENGINE=local
-ENV BATCH_PAGE_SIZE=5
diff --git a/README.md b/README.md
index f868861..9f76066 100644
--- a/README.md
+++ b/README.md
@@ -206,7 +206,7 @@ All configuration is done via environment variables. See [`.env.example`](.env.e
 | `UPLOAD_DIR` | `./uploads` | File storage directory |
 | `DB_PATH` | `./data/docling_studio.db` | SQLite database path |
 | `CONVERSION_TIMEOUT` | `600` | Max seconds for a single Docling conversion |
-| `BATCH_PAGE_SIZE` | `5` (Docker) / `0` | Pages per batch (`0` = process all at once) |
+| `BATCH_PAGE_SIZE` | `5` | Pages per batch (`0` = process all at once) |
 | `MAX_FILE_SIZE_MB` | `50` | Maximum upload file size in MB (`0` = unlimited) |
 | `MAX_PAGE_COUNT` | `0` | Maximum number of pages per document (`0` = unlimited) |
 | `RATE_LIMIT_RPM` | `100` | Max requests per minute per IP (`0` = disabled) |
diff --git a/docker-compose.dev.yml b/docker-compose.dev.yml
index fc08ad2..afd24ac 100644
--- a/docker-compose.dev.yml
+++ b/docker-compose.dev.yml
@@ -74,7 +74,7 @@ services:
       DOCLING_SERVE_API_KEY: ${DOCLING_SERVE_API_KEY:-}
       RATE_LIMIT_RPM: ${RATE_LIMIT_RPM:-100}
       MAX_FILE_SIZE_MB: ${MAX_FILE_SIZE_MB:-50}
-      BATCH_PAGE_SIZE: ${BATCH_PAGE_SIZE:-0}
+      BATCH_PAGE_SIZE: ${BATCH_PAGE_SIZE:-5}
       OPENSEARCH_URL: http://opensearch:9200
       EMBEDDING_URL: http://embedding:8001
     command: ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]
diff --git a/docker-compose.yml b/docker-compose.yml
index 7548959..bde9a9d 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -50,7 +50,7 @@ services:
       DOCLING_SERVE_API_KEY: ${DOCLING_SERVE_API_KEY:-}
       RATE_LIMIT_RPM: ${RATE_LIMIT_RPM:-100}
       MAX_FILE_SIZE_MB: ${MAX_FILE_SIZE_MB:-50}
-      BATCH_PAGE_SIZE: ${BATCH_PAGE_SIZE:-0}
+      BATCH_PAGE_SIZE: ${BATCH_PAGE_SIZE:-5}
       OPENSEARCH_URL: ${OPENSEARCH_URL:-}
       EMBEDDING_URL: ${EMBEDDING_URL:-}
     deploy:
diff --git a/docs/getting-started.md b/docs/getting-started.md
index 94eae04..6b273ff 100644
--- a/docs/getting-started.md
+++ b/docs/getting-started.md
@@ -141,7 +141,7 @@ All configuration is done via environment variables:
 | `UPLOAD_DIR` | `./uploads` | File storage directory |
 | `DB_PATH` | `./data/docling_studio.db` | SQLite database path |
 | `CONVERSION_TIMEOUT` | `600` | Max seconds per Docling conversion |
-| `BATCH_PAGE_SIZE` | `5` (Docker) / `0` | Pages per batch (`0` = process all at once) |
+| `BATCH_PAGE_SIZE` | `5` | Pages per batch (`0` = process all at once) |
 | `MAX_CONCURRENT_ANALYSES` | `3` | Maximum parallel analysis jobs |
 | `DEPLOYMENT_MODE` | `self-hosted` | `self-hosted` or `huggingface` (shows disclaimer banner) |
 | `MAX_FILE_SIZE_MB` | `50` | Maximum upload file size in MB (`0` = unlimited) |
diff --git a/document-parser/infra/settings.py b/document-parser/infra/settings.py
index f93c299..0d2cec0 100644
--- a/document-parser/infra/settings.py
+++ b/document-parser/infra/settings.py
@@ -94,7 +94,7 @@ class Settings:
             max_file_size=int(os.environ.get("MAX_FILE_SIZE", "0")),
             max_file_size_mb=int(os.environ.get("MAX_FILE_SIZE_MB", "50")),
             rate_limit_rpm=int(os.environ.get("RATE_LIMIT_RPM", "100")),
-            batch_page_size=int(os.environ.get("BATCH_PAGE_SIZE", "0")),
+            batch_page_size=int(os.environ.get("BATCH_PAGE_SIZE", "5")),
             opensearch_url=os.environ.get("OPENSEARCH_URL", ""),
             embedding_url=os.environ.get("EMBEDDING_URL", ""),
             embedding_dimension=int(os.environ.get("EMBEDDING_DIMENSION", "384")),