iFlytek Image Understanding (图片理解) — analyze and answer questions about images using Spark Vision model. WebSocket API, pure Python stdlib, no pip dependencies.
Scanned 9/10/2026
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---
name: ifly-image-understanding
description: iFlytek Image Understanding (图片理解) — analyze and answer questions about images using Spark Vision model. WebSocket API, pure Python stdlib, no pip dependencies.
---
# ifly-image-understanding
Analyze images and answer questions about their content using iFlytek's Spark Vision model (图片理解).
## Setup
1. Create an app at [讯飞控制台](https://console.xfyun.cn) with 图片理解 service enabled
2. Set environment variables:
```bash
export IFLY_APP_ID="your_app_id"
export IFLY_API_KEY="your_api_key"
export IFLY_API_SECRET="your_api_secret"
```
## Usage
### Describe an image
```bash
python3 scripts/image_understanding.py photo.jpg
```
### Ask a question about an image
```bash
python3 scripts/image_understanding.py photo.jpg -q "图片里有什么动物?"
```
### Use basic model (lower token cost)
```bash
python3 scripts/image_understanding.py photo.jpg --domain general
```
### Options
| Flag | Short | Description |
|------|-------|-------------|
| `image` | | Image file path (.jpg, .jpeg, .png) |
| `--question` | `-q` | Question about the image (default: describe) |
| `--domain` | `-d` | `imagev3` (advanced, default) or `general` (basic, fixed 273 tokens/image) |
| `--temperature` | `-t` | Sampling temperature (0,1], default 0.5 |
| `--max-tokens` | | Max response tokens 1-8192, default 2048 |
| `--raw` | | Output raw WebSocket JSON frames |
### Examples
```bash
# OCR a receipt
python3 scripts/image_understanding.py receipt.png -q "总金额是多少?"
# Identify objects
python3 scripts/image_understanding.py scene.jpg -q "图片中有哪些物体?"
# Low-cost basic model
python3 scripts/image_understanding.py chart.png -q "图表的趋势是什么?" -d general
```
## Notes
- **Image formats**: .jpg, .jpeg, .png
- **Max image size**: 4MB
- **Max tokens**: 8192 (input + output combined)
- **Auth**: HMAC-SHA256 signed WebSocket URL
- **Endpoint**: `wss://spark-api.cn-huabei-1.xf-yun.com/v2.1/image`
- **Pure stdlib**: No pip dependencies — uses built-in `socket` + `ssl` for WebSocket
- **Model versions**: `imagev3` (advanced, dynamic token cost) vs `general` (basic, fixed 273 tokens/image)
---
## 错误码说明 😢
遇到错误先别慌~看看下面找到对应的解决方法吧!✨
| 错误码 | 错误信息 | 解决办法 |
|--------|----------|----------|
| **0** | 🎉 成功 | 恭喜你!请求正常完成啦~ |
| **10003** | 用户的消息格式有错误 | 检查一下你的请求格式是否正确哦~确保发送的是合法的JSON格式呢! |
| **10004** | 用户数据的schema错误 | 看起来数据结构有点问题~请检查一下字段名称和类型是否正确呀! |
| **10005** | 用户参数值有错误 | 参数值可能不太对呢~仔细核对一下每个参数的有效范围吧! |
| **10006** | 用户并发错误:同一用户不能多处同时连接 | 检测到重复连接啦!请确保只有一个客户端在连接同一个用户ID哦~ |
| **10013** | 用户问题涉及敏感信息,审核不通过 | 哎呀,你的问题可能包含了一些不太合适的内容~换个问题试试看吧! |
| **10022** | 模型生产的图片涉及敏感信息,审核不通过 | 生成的图片没有通过审核呢...很抱歉,换张图片再试一下吧! |
| **10029** | 图片任何一边的长度超过12800 | 图片尺寸太大啦!请确保图片宽高都不超过12800像素哦~ |
| **10041** | 图片分辨率不符合要求 | 图片尺寸不合适的呢~要求是:50×50 < 图片总像素值 < 6000×6000 哦! |
| **10907** | Token数量超过上限 | 内容太丰富啦!对话历史+问题的字数太多,需要精简一下输入哦~ |
> 💡 **小贴士**:如果还有其他问题,可以查看官方文档或者联系技术支持哦!
---
## 常见问题 🤔
### 图片理解的主要功能是什么呀?🐱
答:用户输入一张图片和问题,从而识别出图片中的对象、场景等信息,然后回答你的问题~是不是很方便呢!✨
### 图片理解支持什么应用平台呢?📱
答:目前支持 **Web API** 应用平台哦!直接在代码里调用就可以啦~
### 图片理解的文本大小限制多少呀?📝
答:有效内容不能超过 **8192 Token** 呢~如果超过了就要精简一下输入啦!
---
## 更多资源 📚
- 📖 **使用文档**:https://console.xfyun.cn/services/image
- 🛒 **购买套餐**:https://console.xfyun.cn/sale/buy?wareId=9046&packageId=9046002&serviceName=%E5%9B%BE%E7%89%87%E7%90%86%E8%A7%A3&businessId=image
> 有更多问题随时来问我哦~祝你使用愉快!🌸
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