CapSolverOCR 图片不定长英文数字
注意 通过 createTask 创建识别任务
此接口不需要进行单独获取结果, 会同步返回图像识别结果!
任务类型type如下
ImageToTextTask
创建任务
通过 createTask 创建识别任务
注意，该类型任务会直接在 createTask 后返回任务执行结果，不需要通过 getTaskResult 异步获取。
对象结构
| Properties | Type | Required | 说明 |
|---|---|---|---|
| type | String | 是 | ImageToTextTask |
| websiteURL | String | Optional | Page source url to improve accuracy |
| body | String | 是 | 图片的 base64 编码内容（不要换行符）（不要 data:image/*;base64,内容 |
| module | String | 否 | 指定模块，目前支持的模块有: common,queueit |
| score | Float | 否 | 0.8 ~ 1, 识别匹配度，如果识别率不在范围内则不收款 |
| case | Boolean | 否 | 是否区分大小写 |
独立模块支持
| Module | Questions | Samples | Accuracy | LastUpdate |
|---|
请求示例
json
POST https://api.capsolver.com/createTask
Host: api.capsolver.com
Content-Type: application/json
{
"clientKey": "YOUR_API_KEY",
"task":{
"type":"ImageToTextTask",
"module":"queueit", // ocr single image model,
"body": "/9j/4AAQSkZJRgABA......" # base64编码后的图片
}
}返回示例
json
{
"errorId": 0,
"errorCode": "",
"errorDescription": "",
"status": "ready",
"solution": {
"text": "44795sds"
},
"taskId": "2376919c-1863-11ec-a012-94e6f7355a0b"
}使用 SDK 请求
python
# pip install --upgrade capsolver
# export CAPSOLVER_API_KEY='...'
import capsolver
# capsolver.api_key = "..."
img_path = os.path.join(Path(__file__).resolve().parent, "queue-it.jpg")
with open(img_path, 'rb') as f:
solution = capsolver.solve({
"type": "ImageToTextTask",
"module": "queueit",
"body": "/9j/4AAQSkZJRgABA......"
})
print(solution)go
package main
import (
"fmt"
capsolver_go "github.com/capsolver/capsolver-go"
"log"
)
func main() {
// first you need to install sdk
//go get github.com/capsolver/capsolver-go
//export CAPSOLVER_API_KEY='...' or
//capSolver := CapSolver{ApiKey:"..."}
capSolver := capsolver_go.CapSolver{}
solution, err := capSolver.Solve(map[string]any{
"type": "ImageToTextTask",
"module": "queueit",
"body": "/9j/4AAQSkZJRgABA......",
})
if err != nil {
log.Fatal(err)
return
}
fmt.Println(solution)
}