Get started with Video Moderation

Image Moderation · Video Moderation · Image Transforms

Please select all the models you are interested in. The code examples on this page will automatically update to reflect your choice.

Nudity detection

Detect the level of nudity from explicit to mildly suggestive

Weapons

Detect violent and inappropriate content

Drugs

Detect recreational drugs

Alcohol

Detect alcohol

Offensive

Detect offensive signs and gestures

Minors

Detect babies, children and teenagers under 18

Face Detection

Detect faces and their positions

Tobacco products

Detect smoking and tobacco products

Gambling

Detect gambling scenes, casinos, slotmachines, roulettes...

Self-harm

Detect self-harm and self-inflicted injuries

Gore & Blood

Detect gore, horrific imagery, content with blood

Violence

Detect physical violence and threats

Celebrities

Detect and recognize celebrities

Text Moderation in Videos

Detect profanity, emails, phone numbers

Embedded Text and Watermarks

Detect text that has been added during post-processing

QR Code moderation

Detect QR codes with unsafe or unwanted links, or profanity

Video quality & colors

Detect blurry and low quality videos, get dominant colors

Sun glasses

Detect faces hidden with sun glasses

Money

Detect displays of money, banknotes

Submit the video to the API (sync)

If your video is less than 1 minute long, you can use the sync API:


curl -X POST 'https://api.sightengine.com/1.0/video/check-sync.json' \
  -F 'media=@/path/to/your/video.mp4' \
  -F 'models={model}' \
  -F 'api_user={api_user}' \
  -F 'api_secret={api_secret}'


# this example uses requests
import requests
import json

params = {
  # specify the models you want to apply
  'models': '{model}',
  'api_user': '{api_user}',
  'api_secret': '{api_secret}'
}
files = {'media': open('/path/to/your/video.mp4', 'rb')}
r = requests.post('https://api.sightengine.com/1.0/video/check-sync.json', files=files, data=params)

output = json.loads(r.text)


$params = array(
  'media' => new CurlFile('/path/to/your/video.mp4'),
  // specify the models you want to apply
  'models' => '{model}',
  'api_user' => '{api_user}',
  'api_secret' => '{api_secret}',
);

// this example uses cURL
$ch = curl_init('https://api.sightengine.com/1.0/video/check-sync.json');
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, $params);
$response = curl_exec($ch);
curl_close($ch);

$output = json_decode($response, true);


// this example uses axios and form-data
const axios = require('axios');
const FormData = require('form-data');
const fs = require('fs');

data = new FormData();
data.append('media', fs.createReadStream('/path/to/your/video.mp4'));
// specify the models you want to apply
data.append('models', '{model}');
data.append('api_user', '{api_user}');
data.append('api_secret', '{api_secret}');

axios({
  method: 'post',
  url:'https://api.sightengine.com/1.0/video/check-sync.json',
  data: data,
  headers: data.getHeaders()
})
.then(function (response) {
  // on success: handle response
  console.log(response.data);
})
.catch(function (error) {
  // handle error
  if (error.response) console.log(error.response.data);
  else console.log(error.message);
});

Submit the video to the API (async)

If your video is longer than 1 minute or is a live stream then you should use the Async Video API. Head to our API guide for more details.


curl -X POST 'https://api.sightengine.com/1.0/video/check.json' \
  -F 'media=@/path/to/your/video.mp4' \
  -F 'models={model}' \
  -F 'callback_url=https://yourcallback/path' \
  -F 'api_user={api_user}' \
  -F 'api_secret={api_secret}'


# this example uses requests
import requests
import json

params = {
  # specify the models you want to apply
  'models': '{model}',
  # specify where you want to receive result callbacks
  'callback_url': 'https://yourcallback/path',
  'api_user': '{api_user}',
  'api_secret': '{api_secret}'
}
files = {'media': open('/path/to/your/video.mp4', 'rb')}
r = requests.post('https://api.sightengine.com/1.0/video/check.json', files=files, data=params)

output = json.loads(r.text)


$params = array(
  'media' => new CurlFile('/path/to/your/video.mp4'),
  // specify the models you want to apply
  'models' => '{model}',
  // specify where you want to receive result callbacks
  'callback_url' => 'https://yourcallback/path',
  'api_user' => '{api_user}',
  'api_secret' => '{api_secret}',
);

// this example uses cURL
$ch = curl_init('https://api.sightengine.com/1.0/video/check.json');
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, $params);
$response = curl_exec($ch);
curl_close($ch);

$output = json_decode($response, true);


// this example uses axios and form-data
const axios = require('axios');
const FormData = require('form-data');
const fs = require('fs');

data = new FormData();
data.append('media', fs.createReadStream('/path/to/your/video.mp4'));
// specify the models you want to apply
data.append('models', '{model}');
// specify where you want to receive result callbacks
data.append('callback_url', 'https://yourcallback/path');
data.append('api_user', '{api_user}');
data.append('api_secret', '{api_secret}');

axios({
  method: 'post',
  url:'https://api.sightengine.com/1.0/video/check.json',
  data: data,
  headers: data.getHeaders()
})
.then(function (response) {
  // on success: handle response
  console.log(response.data);
})
.catch(function (error) {
  // handle error
  if (error.response) console.log(error.response.data);
  else console.log(error.message);
});

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