> 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/easyocr.md).

# EasyOCR

[EasyOCR](https://github.com/JaidedAI/EasyOCR) 다국어 광학 문자 인식 모델이며, 당사의 [Serverless Hosted API](/roboflow/roboflow-ko/deploy/serverless-hosted-api-v2.md). 지원 언어에는 영어, 일본어, 칸나다어, 한국어, 라틴어(스페인어, 프랑스어, 이탈리아어, 포르투갈어, 독일어, 폴란드어, 네덜란드어 포함), 텔루구어, 간체 중국어가 포함됩니다.

## 코드 샘플

다음을 `/easy_ocr/ocr` 엔드포인트에 직접 호출합니다 `curl`:

```bash
curl --location 'https://serverless.roboflow.com/easy_ocr/ocr' \
  --header 'Content-Type: application/json' \
  --data '{
    "api_key": "YOUR_API_KEY",
    "image": {"type": "url", "value": "https://media.roboflow.com/swift.png"},
    "language_codes": ["en"]
  }'
```

SDK를 통한 동일한 호출입니다. 설치하세요:

```bash
pip install inference-sdk
```

이미지에서 EasyOCR을 실행하세요. 다음을 전달하세요 [Roboflow API Key](https://app.roboflow.com/settings/api) 를 `API_KEY` 환경 변수를 통해.

```python
import os
import urllib.request
from inference_sdk import InferenceHTTPClient

image_url = "https://media.roboflow.com/swift.png"
image_path = "swift.png"
urllib.request.urlretrieve(image_url, image_path)

client = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key=os.getenv("API_KEY"),
)

result = client.ocr_image(
    inference_input=image_path,
    model="easy_ocr",
    language_codes=["en"],
)

print(result["result"]) # 추출된 텍스트
```

위 코드는 추론 결과를 터미널에 출력합니다:

```
오늘 일찍, 비유를 쓰자면, Swift의 각 Era를 듣는 시대들을 거쳤다는 생각이 들었다. 정말 메타적이다: Midnights 앨범을 들은 후 Ms. Swift의 음악을 듣기 시작했다. 앨범을 처음 들은 지 몇 주 후, 여러 노래를 반복 재생하고 있는 나 자신을 발견했다. 앨범을 순서대로 여러 번 들었다:
```

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

* `https://serverless.roboflow.com` Serverless Hosted API용.
* `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
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

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/easyocr.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.