CapSolverOCR ImageToText
WARNING
Create the task with the createTask.
This interface does not need to obtain the results separately, will directly return the image recognition results!
The task type field is as follows
ImageToTextTask
Create Task
Create the task with the createTask.
Task Object Structure
Note that this type of task returns the task execution result directly after createTask, rather than getting it asynchronously through getTaskResult.
| Properties | Type | Required | Description |
|---|---|---|---|
| type | String | Required | ImageToTextTask |
| websiteURL | String | Optional | Page source url to improve accuracy |
| body | String | Required | base64 encoded content of the image (no newlines, no data:image/***;charset=utf-8;base64,) |
| module | String | Optional | Specifies the module. All supported models are shown in the table below |
| score | Float | Optional | 0.8 ~ 1, Identify the matching degree. If the recognition rate is not within the range, no deduction |
| case | Boolean | Optional | Case sensitive or not |
Independent module support
| Module | Questions | Samples | Accuracy | LastUpdate |
|---|
Example Request
text
POST https://api.capsolver.com/createTask
Host: api.capsolver.com
Content-Type: application/jsonjson
{
"clientKey": "YOUR_API_KEY",
"task": {
"type": "ImageToTextTask",
"websiteURL": "https://xxxx.com",
// You can choose the module you need to use
// ocr single image model, default common
"module": "queueit",
// base64 encoded image
"body": "/9j/4AAQSkZJRgABA......"
}
}Example Response
json
{
"errorId": 0,
"errorCode": "",
"errorDescription": "",
"status": "ready",
"solution": {
"text": "44795sds"
},
"taskId": "..."
}Use SDK Request
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)
}