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[DocTR](https://github.com/mindee/doctr) is an Optical Character Recognition model.
You can use DocTR with Inference to identify and recognize characters in images.
### How to Use DocTR
To use DocTR with Inference, you will need a Roboflow API key. If you don't already have a Roboflow account, [sign up for a free Roboflow account](https://app.roboflow.com). Then, retrieve your API key from the Roboflow dashboard. Run the following command to set your API key in your coding environment:
```
export API_KEY=<your api key>
```
Create a new Python file and add the following code:
```python
import requests
import base64
from PIL import Image
import supervision as sv
import os
API_KEY = os.environ["API_KEY"]
IMAGE = "container1.jpeg"
image = Image.open(IMAGE)
data = {
"image": {
"type": "base64",
"value": base64.b64encode(image.tobytes()).decode("utf-8"),
}
}
ocr_results = requests.post("http://localhost:9001/doctr/ocr?api_key=" + API_KEY, json=data).json()
print(ocr_results, class_name)
```
Above, replace `container1.jpeg` with the path to the image in which you want to detect objects.
Then, run the Python script you have created:
```
python app.py
```
The results of DocTR will appear in your terminal:
```
...
```
## Further Reading
- [Use DocTR as part of a two-step detection system](https://blog.roboflow.com/ocr-api/) |