diff --git a/README.md b/README.md
index f243cc9..5306d74 100644
--- a/README.md
+++ b/README.md
@@ -42,4 +42,21 @@ Pass `--compute-type <type>` to control the numeric precision used during infere
 | `float16` | Slightly better accuracy, higher VRAM usage. |
 | `int8` | CPU-friendly, lower quality. |
 
-If you see a CUDA error about mismatched library versions at startup, use `setup-venv-local-build.sh` to build ctranslate2 against your system CUDA version rather than using the PyPI wheel.
\ No newline at end of file
+If you see a CUDA error about mismatched library versions at startup, use `setup-venv-local-build.sh` to build ctranslate2 against your system CUDA version rather than using the PyPI wheel.
+
+
+## Language and translation
+
+By default the server auto-detects the spoken language and transcribes it as-is.
+
+| Argument | Default | Notes |
+|----------|---------|-------|
+| `--language <code>` | none (auto-detect) | Force a specific language, e.g. `--language en` or `--language sv`. Speeds up detection and avoids misidentification. |
+| `--task transcribe` | default | Output text in the spoken language. |
+| `--task translate` | | Translate speech to English regardless of source language. |
+
+> [!NOTE]
+> The `.en` model variants (`base.en`, `small.en` etc.) are English-only and do not support `--task translate` or non-English `--language`. Use a multilingual model (`large-v3`, `medium`) for multilingual or translation use cases.
+
+> [!WARNING]
+> Omitting `--language` with a multilingual model and English-only speech may cause occasional misdetection. Pass `--language en` to avoid this if you only speak English.
\ No newline at end of file
diff --git a/stt-server.py b/stt-server.py
index e08d226..8cba120 100755
--- a/stt-server.py
+++ b/stt-server.py
@@ -120,6 +120,8 @@ parser = argparse.ArgumentParser()
 parser.add_argument('--model',        default='base.en')
 parser.add_argument('--device',       default='cuda')
 parser.add_argument('--compute-type', default='int8_float16')
+parser.add_argument('--language',     default=None,          help='language code (e.g. en, sv) or None for auto-detect')
+parser.add_argument('--task',         default='transcribe',  choices=['transcribe', 'translate'], help='transcribe keeps the source language; translate converts to English')
 parser.add_argument('--verbose', '-v', action='store_true')
 args    = parser.parse_args()
 verbose = args.verbose
@@ -195,7 +197,8 @@ def transcription_worker():
 		try:
 			segments, _ = model.transcribe(
 				samples,
-				language='en',
+				language=args.language,
+				task=args.task,
 				word_timestamps=True,
 				vad_filter=False,
 			)