Machine Vision & Media Processing APIs

Scalable & Unified APIs for all your Media Analysis & Processing Tasks.

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Smart Use Cases

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face blur

Detect & Blur Human Faces

Learn how to detect all human faces present in a given image or video frame first, then apply a blur filter or extract each one of them using only two PixLab endpoints.

Target API Endpoints

Show Code

Scan Passports & ID Cards

Effortlessly Scan & Extract data from over 11,097 ID documents including Passports, Driver's Licenses, Visas, and ID Cards from 197+ countries ↗, with or without MRZ, using a single developer-friendly REST API endpoint ↗.

Target API Endpoints

Visit The PixLab eKYC Platform ↗

face blur

blur images

Content Moderation

Filter image uploads according to their Not Safe for Work, NSFW Score, then apply a blur filter if adult or bloody content is detected using only two PixLab endpoints.

Target API Endpoints

NSFW
BLUR

Show Code

Generate a description of an image

Let's generate a set of TAGs in human readable sentences that describe the contents of a given image. This imply running a Convolutional neural network on top of the target image and extract content of interest.

Target API Endpoints

Show Code

tag image

dynamic image

Dynamically Create a New Image

Implement a smart Captcha-like challenge by generating a new image on the fly of desired height & width, and draw some text on top to challenge bots on your platform.

Target API Endpoints

Show Code

More Use Cases & Code Samples

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Batteries Included Developer Experience

Media Storage

Highly available, robust and safe storage for all your videos & images via unified APIs

Content is served via a highly efficient, globally distributed CDN over SSL
Big data ready with up to 2 TB of storage
Proxy to AWS S3 for total control over your media assets
Simple API endpoints: STORE, COPY & DELETE

Machine Vision

State-of-the-art, Unified Machine Vision API endpoints at your fingertips

Content Extraction & Moderation: NSFW, PIXELGENERATE, DOCSCAN, OCR, TAGIMG
Face DETECTION, RECOGNITION, EMOTION, BLUR, LANDMARKS, etc.
AI driven pixel Analysis & Processing
Always deployed with the latest, state-of-the-art deep-learning models

Media Processing

Process, transform & filter images from your favorite programming language

Access to dozen of image manipulations endpoints: MOGRIFY, MERGE, CROP, RESIZE, BLUR, PDFTOIMG
GIF & Text drawing endpoints: MAKEGIF, DRAWTEXT, CROPGIF, DRAW, etc.
Media Encryption & Compression
JSON or BLOB responses at request

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Images & Videos on your site or app should engage and convert users. Analyze, Create, Transform, and Deliver highly converting media assets to your audience with PixLab’s APIs...

Computer Vision

Moderate content, recognize objects, blur faces, scan travel documents and much more. Bring vision to your apps with state-of-the-art deep learning models at your fingertips.

Image & Video Processing

Process, filter and transform images & videos easily thanks to hundreds of effects including resizing, cropping, text drawing, colors, shapes using your favorite programming language.

Media Storage

Store, transfer, proxy to S3, optimize, and deliver all your media assets including images, videos, and much more.

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Make API calls from JavaScript, PHP, Python, Ruby, Java, etc. as long as, HTTP is supported.

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Available Anywhere

Embedded • On-Premises & Cloud SDKs.

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Image Annotation • KYC & ID Scanning • Generative AI • Facial Authentication.

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Scan & Extract Data from Uploaded Passport or ID Image

In this production-ready code showcase, we'll scan any officially issued ID document such as Passport, Visa, Residence Card, Driver's License, or any type of ID card with or without MRZ from various countries ↗ using a single API endpoint. With support for over 11,000 types of ID documents from 197+ countries, the DOCSCAN API Endpoint ↗ not only provides highly accurate text scanning but also extracts (crops) any detected face within the target document. A typical input user uploaded Passport image, and the extracted output fields should look like the following after processing:

Input Passport Image Specimen

Passport Uploaded Image Specimen

Parsed MRZ Fields

Docscan Passport Scan Output

Input US Driver's License

US Driver license Specimen

Image Vectors by Vecteezy

Extracted License Fields

US Driver License Scan Output

DOCSCAN is the sole endpoint needed for such a task. It support various ID cards besides Passports, US Driving Licenses & Visas, and does face extraction automatically for you.
PixLab recommend that you connect your AWS S3 bucket via the dashboard so that, any extracted face or MRZ crop is automatically stored on your S3 bucket rather than the PixLab one. This feature should give you full control over your analyzed media files.
Refer to the DOCSCAN API documentation for additional information such as the set of scanned fields, where face crops are stored, how to process PDF documents instead of images and so forth.

To learn more about the DOCSCAN API endpoint capabilities, including the list of supported documents & code samples, please refer to the following blog posts:

The Code

This code and dozen of others are available on the PixLab Github Repository.

Python
PHP

Dynamically create a new image & draw some text on top

In this example, we'll dynamically create a 300x300 pixels, PNG image with a yellow background and draw some text on top. This is very useful, if you want for example to challenge bots on your platform by implementing a minimalistic yet powerful Captcha-like challenge. A typical generated image should look like the following after processing:

Draw after processing

Dynamically created using NEWIMAGE, text drawn via DRAWTEXT

A blank image is requested first via call to NEWIMAGE which export to PNG by default but you can change the output format at request. We set the image height, width and the background color respectively to 300x300 with a yellow background color.
If you want a transparent image set the color parameter to none.
We finally DRAW our text at the center of the newly created image using the WOLF Font, black color and 35 px font size. One could also draw lines, a rectangle, and other shapes for example to surround faces, merge with other images and so on...

The Code

This code and dozen of others are available on the PixLab Github Repository.

Python
PHP