diff --git a/README.md b/README.md
index 864d9df..21c56ed 100644
--- a/README.md
+++ b/README.md
@@ -4,10 +4,11 @@
 Image Analyzer for Home Assistant using GPT-4o.
 
 **ha-gpt4vision** creates the `gpt4vision.image_analyzer` service in Home Assistant.
-This service sends an image to OpenAI using its API and returns the model's output as a response variable, making it easy to use in automations.
+This service sends an image to an AI provider and returns the output as a response variable for easy use in automations.
+Supported providers are OpenAI and [LocalAI](https://github.com/mudler/LocalAI).
 
 ## Features
-- Compatible with both OpenAI's API or [LocalAI](https://github.com/mudler/LocalAI).
+- Compatible with both OpenAI's API and [LocalAI](https://github.com/mudler/LocalAI).
 - Images can be downscaled for faster processing.
 - Can be installed through HACS and can be set up in the Home Assistant UI.
 
@@ -37,72 +38,19 @@ This service sends an image to OpenAI using its API and returns the model's outp
 After restarting, the gpt4vision.image_analyzer service will be available. You can test it in the developer tools section in home assistant.
 To get GPT's analysis of a local image, use the following service call.
 
-```yaml
-service: gpt4vision.image_analyzer
-data:
-  message: '[Prompt message for AI]'
-  model: '[model]'
-  image_file: '[path for image file]'
-  target_width: [Target width for image downscaling]
-  max_tokens: [maximum number of tokens]'
-```
-The parameters `message`, `max_tokens` and `image_file` are mandatory for the execution of the service.
-Optionally, the `model` and the `target_width` can be set. For available models check this page: https://platform.openai.com/docs/models.
-
-## Automation Example
-In automations, if your response variable name is `response`, you can access the response as `{{response.response_text}}`:
-```yaml
-sequence:
-  - service: gpt4vision.image_analyzer
-    metadata: {}
-    data:
-      message: Describe the person in the image
-      image_file: /config/www/tmp/test.jpg
-      max_tokens: 100
-    response_variable: response
-  - service: tts.speak
-    metadata: {}
-    data:
-      cache: true
-      media_player_entity_id: media_player.entity_id
-      message: "{{response.response_text}}"
-    target:
-      entity_id: tts.tts_entity
-```
-
-## Usage Examples
-### Example 1: Announcement for package delivery
-If your camera doesn't support built-in delivery announcements, this is likely the easiest way to get them without running an object detection model.
-
 ```yaml
 service: gpt4vision.image_analyzer
 data:
   max_tokens: 100
+  message: Describe what you see in this image
+  image_file: /config/www/tmp/example.jpg
+  provider: LocalAI
   model: gpt-4o
   target_width: 1280
-  image_file: '/config/www/tmp/front_porch.jpg'
-  message: >-
-    Does it look like the person is delivering a package? Answer with only "yes"
-    or "no".
-    # Answer: yes
 ```
-<img alt="man delivering package" src="https://github.com/valentinfrlch/ha-gpt4vision/assets/85313672/ab615fd5-25b5-4e07-9c44-b10ec7a678c0">
+The parameters `message`, `max_tokens`m `image_file` and `provider` are required.
+Optionally, the `model` and `target_width` properties can be set. For available models check these pages: [OpenAI](https://platform.openai.com/docs/models) and [LocalAI](https://localai.io/models/).
 
-### Example 2: Suspicious behaviour
-An automation could be triggered if a person is detected around the house when no one is home.
-![suspicious behaviour](https://github.com/valentinfrlch/ha-gpt4vision/assets/85313672/411678c4-f344-4eeb-9eb2-b78484a4d872)
-
-```
-service: gpt4vision.image_analyzer
-data:
-  max_tokens: 100
-  model: gpt-4o
-  target_width: 1280
-  image_file: '/config/www/tmp/garage.jpg'
-  message: >-
-    What is the person doing? Does anything look suspicious? Answer only with
-    "yes" or "no".
-```
 ## Issues
 > [!NOTE]
 > **Bugs:** If you encounter any bugs and have read the docs carefully, feel free to file a bug report.