> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/trocr.md).

# TrOCR

TrOCR은 Microsoft의 transformer 기반 OCR 모델입니다. 이 모델은 줄 단위 텍스트 인식을 위해 학습되었으므로, 최상의 결과를 위해 입력을 단일 텍스트 영역으로 잘라내세요.

{% hint style="info" %}
TrOCR은 Serverless Hosted API에서 사용할 수 없습니다. 다음에서 실행하세요. [Dedicated Deployment](/roboflow/roboflow-ko/deploy/dedicated-deployments.md) 또는 [자체 호스팅 Inference](https://inference.roboflow.com/).
{% endhint %}

## 코드 샘플

의존성을 설치하세요:

```bash
pip install requests opencv-python
```

설정하세요 `URL` 를 Dedicated Deployment URL 또는 로컬 Inference 서버로 설정하세요. 다음을 전달하세요 [Roboflow API Key](https://app.roboflow.com/settings/api) 를 `API_KEY` 환경 변수.

```python
import base64
import os
import urllib.request

import cv2
import requests

URL = "https://your-deployment.roboflow.cloud"
IMAGE_URL = "https://media.roboflow.com/inference/license_plate_1.jpg"
IMAGE_PATH = "license_plate.jpg"

urllib.request.urlretrieve(IMAGE_URL, IMAGE_PATH)
image = cv2.imread(IMAGE_PATH)
_, buffer = cv2.imencode(".jpg", image)
image_base64 = base64.b64encode(buffer).decode("utf-8")

response = requests.post(
    f"{URL}/ocr/trocr",
    json={
        "api_key": os.getenv("API_KEY"),
        "image": {"type": "base64", "value": image_base64},
    },
)
print(response.json()["result"])

```

위 코드는 인식된 텍스트를 터미널에 출력합니다:

```
TOTAL
```

{% hint style="info" %}
설정하세요 `URL` 를 배포 대상에 맞게:

* `http://localhost:9001` 로컬 [Inference](https://inference.roboflow.com/) 서버용.
* 귀하의 [Dedicated Deployment](/roboflow/roboflow-ko/deploy/dedicated-deployments.md) 개인 엔드포인트용 URL.
  {% endhint %}


---

# Agent Instructions
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## Querying This Documentation
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Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/trocr.md?ask=<question>&goal=<endgoal>
```

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