PixLab | Symisc Systems symisc

## passport_img_scan.php
<?php
/*
 * Scan over 11K ID Documents from over 197 countries using the PixLab DOCSCAN API Endpoint
 * documented at: https://pixlab.io/id-scan-api/docscan
 *
 * Refer to the official documentation at: https://pixlab.io/id-scan-api/docscan
 * for the API reference guide and more code samples.
 */

# ID Document prototype: Of course, replace with a real government issued ID if you

## scan_passport_pixlab_api.py
import requests
import json

# Scan over 11K ID Documents from over 197 countries using the PixLab DOCSCAN API Endpoint
# documented at: https://pixlab.io/id-scan-api/docscan
#
# Refer to the official documentation at: https://pixlab.io/id-scan-api/docscan
# You can switch to GET if your input ID DOCUMENT image URL is publicly available.

req = requests.post(

## pixlab-docscan-passport-scan-js-example.js
/*
* Scan over 11K ID Documents from over 197 countries using the PixLab DOCSCAN API Endpoint
* documented at: https://pixlab.io/id-scan-api/docscan
*
* Refer to the official documentation at: https://pixlab.io/id-scan-api/docscan
* for the API reference guide and more code samples.
*/
async function scanDocument() {
	try {
		const apiKey = 'PIXLAB_API_KEY'; // Your PixLab API key. Get yours from: https://console.pixlab.io

## pixlab-docscan-passport-scan-ruby-example.rb
=begin
* Scan over 11K ID Documents from over 197 countries using the PixLab DOCSCAN API Endpoint
* documented at: https://pixlab.io/id-scan-api/docscan
*
* Refer to the official documentation at: https://pixlab.io/id-scan-api/docscan
* for the API reference guide and more code samples.
=end

require 'net/http'
require 'uri'

## numpy_cpp_interchange.cpp
/* Symisc syNumpy: C++ usage sample program.
 * Copyright (C) 2026, Symisc Systems https://pixlab.io/numpy-cpp-library
 * Version 1.9.7
 * For information on licensing, redistribution of this file, and for a DISCLAIMER OF ALL WARRANTIES
 * please contact Symisc Systems via:
 *       legal@symisc.net
 *       licensing@symisc.net
 *       contact@symisc.net
 * or visit:
 *      https://pixlab.io/numpy-cpp-library

## faceio_integration_boilerplate.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>FACEIO Integration Boilerplate</title>
<style>
	.container {
		text-align: center;
	}

## watermark-remove.php
<?php
# Programmatically remove text & watermarks from input images using the PixLab TXT-REMOVE API endpoint.
#
# Refer to the official documentation at: https://pixlab.io/endpoints/text-watermark-remove-api for the API reference
# guide and more code samples.

# Use POST to upload the image directly from your local folder. If your image is publicly available
# then make a simple GET request with a link to your image.

$url = 'https://api.pixlab.io/txtremove';

## image-embedding.py
import requests
import json

# Generate image embedding vector for a given image using the PixLab image embedding API
# Refer to: https://pixlab.io/endpoints/img-embed for the official documentation.
#
# Convert images into numerical vectors for efficient image classification, similarity search, and so on.

# Target Image URL we want to generate embedding for
# Change to any link or switch to POST if you want to upload your image directly.

## watermark-remove.rb

require 'net/http'
require 'json'
require 'base64'
require 'uri'

# Programmatically remove text & watermarks from input images using the PixLab BG-REMOVE API endpoint.
#
# Refer to the official documentation at: https://pixlab.io/endpoints/text-watermark-remove-api for the API reference
# guide and more code samples.

## watermark-text-remove.js

// Programmatically remove backgrounds from input images using the PixLab BG-REMOVE API endpoint.
//
// Refer to the official documentation at: https://pixlab.io/endpoints/background-remove-api for the API reference
// guide and more code samples.

// Use POST to upload the image directly from your local folder. If your image is publicly available
// then make a simple GET request with a link to your image.

const apiKey = 'PIXLAB_API_KEY'; // PixLab API Key - Get yours from https://console.pixlab.io/
	<?php
	/*
	* Scan over 11K ID Documents from over 197 countries using the PixLab DOCSCAN API Endpoint
	* documented at: https://pixlab.io/id-scan-api/docscan
	*
	* Refer to the official documentation at: https://pixlab.io/id-scan-api/docscan
	* for the API reference guide and more code samples.
	*/

	# ID Document prototype: Of course, replace with a real government issued ID if you
	import requests
	import json

	# Scan over 11K ID Documents from over 197 countries using the PixLab DOCSCAN API Endpoint
	# documented at: https://pixlab.io/id-scan-api/docscan
	#
	# Refer to the official documentation at: https://pixlab.io/id-scan-api/docscan
	# You can switch to GET if your input ID DOCUMENT image URL is publicly available.

	req = requests.post(
	=begin
	* Scan over 11K ID Documents from over 197 countries using the PixLab DOCSCAN API Endpoint
	* documented at: https://pixlab.io/id-scan-api/docscan
	*
	* Refer to the official documentation at: https://pixlab.io/id-scan-api/docscan
	* for the API reference guide and more code samples.
	=end

	require 'net/http'
	require 'uri'
	/* Symisc syNumpy: C++ usage sample program.
	* Copyright (C) 2026, Symisc Systems https://pixlab.io/numpy-cpp-library
	* Version 1.9.7
	* For information on licensing, redistribution of this file, and for a DISCLAIMER OF ALL WARRANTIES
	* please contact Symisc Systems via:
	* legal@symisc.net
	* licensing@symisc.net
	* contact@symisc.net
	* or visit:
	* https://pixlab.io/numpy-cpp-library
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>FACEIO Integration Boilerplate</title>
	<style>
	.container {
	text-align: center;
	}
	import requests
	import json

	# Generate image embedding vector for a given image using the PixLab image embedding API
	# Refer to: https://pixlab.io/endpoints/img-embed for the official documentation.
	#
	# Convert images into numerical vectors for efficient image classification, similarity search, and so on.

	# Target Image URL we want to generate embedding for
	# Change to any link or switch to POST if you want to upload your image directly.