diff --git a/batdetect2/api.py b/batdetect2/api.py
index 1a5f14c..8978b63 100644
--- a/batdetect2/api.py
+++ b/batdetect2/api.py
@@ -123,6 +123,8 @@ from batdetect2.utils.detector_utils import list_audio_files, load_model
 import audioread
 import os 
 import soundfile as sf
+import requests
+import io
 
 # Remove warnings from torch
 warnings.filterwarnings("ignore", category=UserWarning, module="torch")
@@ -279,6 +281,49 @@ def process_file(
         file_id
     )
 
+def process_url(
+    url: str,
+    model: DetectionModel = MODEL,
+    config: Optional[ProcessingConfiguration] = None,
+    device: torch.device = DEVICE,
+    file_id: str | None = None
+) -> du.RunResults:
+    """Process audio file with model.
+
+    Parameters
+    ----------
+    url : str
+        HTTP URL to load the audio data from
+    model : DetectionModel, optional
+        Detection model. Uses default model if not specified.
+    config : Optional[ProcessingConfiguration], optional
+        Processing configuration, by default None (uses default parameters).
+    device : torch.device, optional
+        Device to use, by default tries to use GPU if available.
+    file_id: Optional[str],
+        Give the data an id. Defaults to the URL
+    """
+    if config is None:
+        config = CONFIG
+
+    if file_id is None:
+        file_id = url
+
+    response = requests.get(url)
+
+    # Raise exception on HTTP error
+    response.raise_for_status()
+
+    # Retrieve body as raw bytes
+    raw_audio_data = response.content
+    
+    return du.process_file(
+        io.BytesIO(raw_audio_data),
+        model,
+        config,
+        device,
+        file_id
+    )
 
 def process_spectrogram(
     spec: torch.Tensor,