Document Comparison
API Documentation for Document Comparison
POST https://apis.aigen.online/aiscript/document-compare/v1
Request Body
Name | Type | Description |
---|---|---|
image_a* | String | Base64 image encoded string |
image_b* | String | Base64 image encoded string |
- 200: OK Successful response
- 400: Bad Request Bad request
- 422: Unprocessable Entity Missing or invalid input
{
"response_id": "996b3cf298d546adb97c719711504e58",
"request_id": "996b3cf298d546adb97c719711504e11",
"status": "1",
"message": "success",
"result": {
"result_image_a": "base64_image",
"result_image_b": "base64_image"
}
}
{
"response_id": "996b3cf298d546adb97c719711504e58",
"status": "0",
"error_list": [
{
"code": "1001",
"message": "Too low image resolution (image must be base64 and image size must between 500x500 and 10000x10000)"
}
],
"request_id": "996b3cf298d546adb97c719711504e11"
}
{
"detail": [
{
"loc": [
"string"
],
"msg": "string",
"type": "string"
}
]
}
Example code
- Python
- Nodejs
import requests
import json
api = "https://apis.aigen.online/aiscript/document-compare/v1"
headers = {"x-aigen-key": "<key>", "content-type": "application/json"}
data = json.dumps({"image": "<base64_string>"})
res = requests.post(api, data=data, headers=headers)
print(res.json())
const axios = require("axios");
const api = "https://apis.aigen.online/aiscript/document-compare/v1";
const headers = {
"x-aigen-key": "<key>",
};
const data = { image: "<base64_string>" };
axios
.post(api, data, { headers: headers })
.then((res) => {
console.log(res.data);
})
.catch((err) => {
console.error(err.response.data);
});