symisc

import requests
import json

# Target Image: Change to any link you want (Possibly adult) or switch to POST if you want to upload your image directly, refer to the sample set for more info.
img = 'https://i.redd.it/oetdn9wc13by.jpg' 
# Your PixLab API Key - Get yours from https://pixlab.io/dashboard
key = 'PIXLAB_API_KEY'

# Blur an image according to its NSFW score
req = requests.get('https://api.pixlab.io/nsfw',params={'img':img,'key':key})

symisc

<?php
/*
 * PixLab PHP Client which is just a single class PHP file without any dependency that you can get from Github
 * https://github.com/symisc/pixlab-php 
 */
require_once "pixlab.php";

# Target Image: Change to any link  you want (Possibly adult) or switch to POST if you want to upload your image directly, refer to the sample set for more info.
$img = 'https://i.redd.it/oetdn9wc13by.jpg';
# Your PixLab API Key - Get yours from https://pixlab.io/dashboard

symisc

<?php
/*
 * PixLab PHP Client which is just a single class PHP file without any dependency that you can get from Github
 * https://github.com/symisc/pixlab-php 
 */
require_once "pixlab.php";


# Check whether the given faces belong to the same person or not.
# https://pixlab.io/#/cmd?id=facecompare for additional information.

symisc

import requests
import json

# Given two faces (eg. selfie and ID photo). Check whether they belong to the same person or not.
# https://pixlab.io/#/cmd?id=facecompare for additional information.
src = 'https://static-secure.guim.co.uk/sys-images/Guardian/Pix/pictures/2012/7/9/1341860104423/obama_face.jpg'
target = 'https://static01.nyt.com/images/2011/07/31/sunday-review/FACES/FACES-jumbo.jpg'

# Unrelated face
#target = 'https://s-media-cache-ak0.pinimg.com/736x/60/aa/e4/60aae45858ab6ce9dc5b33cc2e69baf7.jpg'

symisc

import requests
import json
# Given an image with human readable characters. Detect input language & extract text content from there.
# https://pixlab.io/cmd?id=ocr for additional information.

req = requests.get('https://api.pixlab.io/ocr',params={
	'img':'http://quotesten.com/wp-content/uploads/2016/06/Confucius-Quote.jpg',
	'orientation':True, # Correct text orientation
	'nl':True, # Output new lines if any
	'key':'PIXLAB_API_KEY' # Get your API Key from https://pixlab.io/dashboard

symisc

<?php
/*
 * PixLab PHP Client which is just a single class PHP file without any dependency that you can get from Github
 * https://github.com/symisc/pixlab-php 
 */
require_once "pixlab.php";

# Given an image with human readable characters. Detect input language & extract text content from there.
# https://pixlab.io/cmd?id=ocr for additional information.

symisc

<?php
/*
 * PixLab PHP Client which is just a single class PHP file without any dependency that you can get from Github
 * https://github.com/symisc/pixlab-php 
 */
require_once "pixlab.php";

# Convert a PDF document to a high resolution JPEG/PNG image via /pdftoimg. 
# https://pixlab.io/cmd?id=pdftoimg for additional information.

symisc

import requests
import json
# Convert a PDF document to JPEG/PNG image via /pdftoimg endpoint - https://pixlab.io/cmd?id=pdftoimg
req = requests.get('https://api.pixlab.io/pdftoimg',params={
  'src':'https://www.getharvest.com/downloads/Invoice_Template.pdf',
  'export': 'jpeg',
  'key':'PIXLAB_API_KEY' # Grab your API Key from https://pixlab.io/dashboard
})
reply = req.json()
if reply['status'] != 200:

symisc

import requests
import json

# Detect all human faces present in a given image via 'facedetect' and extract each one of them via 'crop'.

# Target image: Feel free to change to whatever image holding as many human faces you want
img = 'http://cf.broadsheet.ie/wp-content/uploads/2015/03/jeremy-clarkson_3090507b.jpg'

req = requests.get('https://api.pixlab.io/facedetect',params={
	'img': img,

symisc

<?php
/*
 * PixLab PHP Client which is just a single class PHP file without any dependency that you can get from Github
 * https://github.com/symisc/pixlab-php 
 */
require_once "pixlab.php";


/*  Detect all human faces present in a given image via 'facedetect' and extract each one of them via 'crop'.
 */