# GLM-OCR

GLM-OCR is an OCR model based on the GLM vision-language model family. It transcribes text from an image and is well-suited for documents, signs, and labels with mixed layouts. We support GLM-OCR through our [Serverless Hosted API](/deploy/serverless-hosted-api-v2.md), [Dedicated Deployments](/deploy/dedicated-deployments.md), and [self-hosted Inference](https://inference.roboflow.com/).

## Code sample

GLM-OCR runs through the shared `/infer/lmm` endpoint. Call it directly with `curl`:

```bash
curl --location 'https://serverless.roboflow.com/infer/lmm' \
  --header 'Content-Type: application/json' \
  --data '{
    "api_key": "YOUR_API_KEY",
    "image": {"type": "url", "value": "https://media.roboflow.com/inference/license_plate_1.jpg"},
    "model_id": "glm-ocr",
    "prompt": "OCR",
    "max_new_tokens": 128
  }'
```

The same call through the SDK. Install it:

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

Pass your [Roboflow API Key](https://app.roboflow.com/settings/api) via the `API_KEY` environment variable.

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

image_url = "https://media.roboflow.com/inference/license_plate_1.jpg"
image_path = "license_plate_1.jpg"
urllib.request.urlretrieve(image_url, image_path)

client = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key=os.getenv("API_KEY"),
)
result = client.infer_lmm(
    image_path,
    model_id="glm-ocr",
    prompt="OCR",
    max_new_tokens=128,
)
print(result["response"])
```

The code above prints the recognized text to the terminal:

```
280 SE
AUTOMATIC
34 T 6511
```

{% hint style="info" %}
Set `api_url` to match your deployment target:

* `https://serverless.roboflow.com` for the Serverless Hosted API.
* `http://localhost:9001` for a local [Inference](https://inference.roboflow.com/) server.
* Your [Dedicated Deployment](/deploy/dedicated-deployments.md) URL for a private endpoint.
  {% endhint %}


---

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