# Image Resize & Crop

> Run Image Resize & Crop by eval online or via API. from $0.00000277/sec, no setup.

**URL:** https://inference.sh/apps/eval/resize
**Last updated:** 2026-03-28

---

Crop and resize images — center crop to square, face-aware crop, or custom resize

- app: `eval/resize`
- maker: [eval](https://inference.sh/apps/eval.md)
- category: [image](https://inference.sh/apps/category/image.md)
- tasks: [media utilities](https://inference.sh/apps/tag/media-utilities.md), [evaluation](https://inference.sh/apps/tag/evaluation.md)
- price: from $0.00000277/sec
- runs via: api, javascript and python sdk, belt cli, mcp

## resize API Guide

### About
crop and resize images — center crop to square, face-aware crop, or custom resize

### Get an API Key
Create one in [settings → api keys](https://app.inference.sh/settings/keys). The examples read it from `INFERENCE_API_KEY`.

```bash
export INFERENCE_API_KEY="inf_your_key"
```

### 1. Calling the API

#### Install the Client

```bash
pip install inferencesh
```

#### Run and Get Result
Submit a request and wait for the final result.

```python
import os
from inferencesh import inference

client = inference(api_key=os.environ["INFERENCE_API_KEY"])

## version @3jzejsja pinned
result = client.run({
        "app": "eval/resize@3jzejsja",
        "input": {
            "image": "https://example.com/file.png"
        }
    })

print(result["output"])
```

#### Stream Live Updates
Get real-time progress updates as the task runs.

```python
import os
from inferencesh import inference

client = inference(api_key=os.environ["INFERENCE_API_KEY"])

## version @3jzejsja pinned
## stream=True yields updates as they arrive
for update in client.run({
        "app": "eval/resize@3jzejsja",
        "input": {
            "image": "https://example.com/file.png"
        }
    }, stream=True):
    if update.get("progress"):
        print(f"progress: {update['progress']}%")
    if update.get("output"):
        print(f"output: {update['output']}")
```

#### Run in the Background
Start the task and get its id back right away, then check on it with `GET /tasks/{id}`. It is done when `status` is 10 (completed), 11 (failed) or 12 (cancelled).

```python
import os
from inferencesh import inference, TaskStatus

client = inference(api_key=os.environ["INFERENCE_API_KEY"])

## returns as soon as the task is created
task = client.run({
        "app": "eval/resize@3jzejsja",
        "input": {
            "image": "https://example.com/file.png"
        }
    }, wait=False)

## later: read its current state
state = client.tasks.get(task["id"]).data
if state["status"] == TaskStatus.COMPLETED:
    print(state["output"])
```

### 2. Files

#### Automatic Upload

```python
## local file paths are automatically uploaded
result = client.run({
    "app": "eval/resize@3jzejsja",
    "input": {
        "image": "/path/to/local/image.png",  # detected & uploaded
        "audio": "https://example.com/audio.mp3",  # url passed through
    }
})
```

#### Manual Upload

```python
## upload and get a hosted URL
file = client.files.upload("/path/to/file.png")
print(file.uri)  # https://cloud.inference.sh/...
```

### 3. Schema

#### Input
- **image** (string) *required*: Image to crop/resize
- **size** (integer): Output size in pixels (square)
- **mode** (string): center: crop from center to square then resize. cover: resize shortest side to target, crop center

#### Output
- **image** (string): Cropped and resized image

## other image apps

- [GPT Image 2.6 Flare](https://inference.sh/apps/openai/gpt-image-2-6-flare.md): $30.00/M output, $5.00/M text input, $8.00/M image input, $0.10/M SVG input, $0.50/M SVG output
- [GPT Image 2.6 Sunburst](https://inference.sh/apps/openai/gpt-image-2-6-sunburst.md): $30.00/M out, $5.00/M text in, $8.00/M img in; SVG $0.10/$0.50/M in/out
- [Gemini Nano Banana 2.1](https://inference.sh/apps/google/gemini-nano-banana-2-1.md): $1.50/M input, $0.0336–$0.1134/image (1K–4K), +$0.014/query Google Search
- [Grok Imagine Image 2.0](https://inference.sh/apps/xai/grok-imagine-image-2-0.md): $0.04/img low 1k, $0.06/img low 2k, $0.06/img med 1k, $0.08/img med 2k; $0.01/source img (edits)
- [GPT Image 2.5 Sunburst](https://inference.sh/apps/openai/gpt-image-2-5-sunburst.md): $0.006-$0.21 per 1024x1024 image: low $0.006, medium $0.013, high $0.053, xhigh $0.094, max $0.21. Larger sizes cost more; edits add ~$0.008 per reference image.

## faq

### how much does Image Resize & Crop cost?

from $0.00000277/sec. you pay per run from your inference shell credits. no subscription is required.

### how do I run Image Resize & Crop via api?

call eval/resize with the javascript or python sdk, the rest api, or `belt app run eval/resize` from a terminal. the api reference on this page lists every input.

### who makes Image Resize & Crop?

Image Resize & Crop is made by eval and runs on inference shell. every eval app is listed at https://inference.sh/apps/eval.

### can my agent use Image Resize & Crop?

yes. agents call it as a tool through the inference shell mcp server (https://api.inference.sh/mcp), the belt cli or the sdk, and pay per run like you do.

### what are the alternatives to Image Resize & Crop?

other image apps on inference shell include GPT Image 2.6 Flare, GPT Image 2.6 Sunburst, Gemini Nano Banana 2.1, Grok Imagine Image 2.0. they run through the same api, so switching is a one-line change.