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We confirm the arrival of the cargo ship Louis Blériot containing operational equipment for hospitals at the port of Le Havre from the port of 香港. A two-hour delay in the unloading operation is expected.
Easily transform your documents into usable texts using our Extractor technology.
Several OCRs and extraction libraries available via API.
package main
import (
"fmt"
"strings"
"net/http"
"io/ioutil"
)
func main() {
url := "https://extractor.golem.ai/v3/analyse"
method := "POST"
payload := strings.NewReader(`{
"file": "https://www.yourfile.pdf"
}`)
client := &http.Client {
}
req, err := http.NewRequest(method, url, payload)
if err != nil {
fmt.Println(err)
return
}
req.Header.Add("Authorization", "Basic XXX")
req.Header.Add("Content-Type", "application/json")
res, err := client.Do(req)
if err != nil {
fmt.Println(err)
return
}
defer res.Body.Close()
body, err := ioutil.ReadAll(res.Body)
if err != nil {
fmt.Println(err)
return
}
fmt.Println(string(body))
}
<?php
$curl = curl_init();
curl_setopt_array($curl, array(
CURLOPT_URL => '"https://extractor.golem.ai/scan"',
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => '',
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 200,
CURLOPT_FOLLOWLOCATION => true,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => 'POST',
CURLOPT_POSTFIELDS =>'{
"file": "https://www.yourfile.pdf",
"useCache": true,
"parsers": {
"document": {
"extractImages": false,
"ocr": {
"name": "tesseract",
"mode": "auto"
},
"PDF": {
"extractImages": false,
"ocr": {
"name": "ida",
"mode": "on"
}
}
},
"image": {
"minimumHeight": 500,
"minimumWidth": 500,
"ocr": {
"name": "ida",
"mode": "off"
},
"png": {
"minimumWidth": 100,
"ocr": {
"name": "ida"
}
}
},
"spreadsheet": {
"readVertically": false,
"unmergeCells": false,
"splitPerBlock": false,
"splitPerBlockRowLimit": 10,
"splitPerBlockColumnLimit": 10,
"parseHiddenSheets": false
},
"email": {
"extractAttachments": false,
"ignoredAttachments": [
"xlsb",
"eml"
],
"msg": {
"extractAttachments": true
}
}
}
}',
CURLOPT_HTTPHEADER => array(
'Authorization: Basic XXX',
'Content-Type: application/json'
),
));
$response = curl_exec($curl);
curl_close($curl);
echo $response;
import requests
import json
if __name__ == "__main__":
URL: str = "https://extractor.golem.ai/scan"
payload: dict = json.dumps(
{
"file": "https://www.yourfile.pdf",
"parsers": {
"document": {
"extractImages": False,
"ocr": {"name": "tesseract", "mode": "auto"},
"PDF": {
"extractImages": False,
"ocr": {"name": "ida", "mode": "on"},
},
},
"image": {
"minimumHeight": 500,
"minimumWidth": 500,
"ocr": {"name": "ida", "mode": "off"},
"png": {"minimumWidth": 100, "ocr": {"name": "ida"}},
},
"spreadsheet": {
"readVertically": False,
"unmergeCells": False,
"splitPerBlock": False,
"splitPerBlockRowLimit": 10,
"splitPerBlockColumnLimit": 10,
"parseHiddenSheets": False,
},
"email": {
"extractAttachments": False,
"ignoredAttachments": ["xlsb", "eml"],
"msg": {"extractAttachments": True},
},
},
}
)
headers: dict = {"Authorization": f"Basic XXX", "Content-Type": "application/json"}
response: requests.Response = requests.request(
"POST", URL, headers=headers, data=payload
)
print(response.text)
var settings = {
"url": "https://extractor.golem.ai/v3/analyse",
"method": "POST",
"timeout": 0,
"headers": {
"Authorization": "Basic XXX",
"Content-Type": "application/json"
},
"data": JSON.stringify({
"file": "https://www.yourfile.pdf"
}),
};
$.ajax(settings).done(function (response) {
console.log(response);
});
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