Top Image Processing and Facial Recognition APIs
## What Are Image Processing and Facial Recognition APIs?
Image recognition, in the context of machine vision, is the ability of software to identify objects, places, people, writing and actions in images. Traditionally, implementing image processing functionality has required coding complex algorithms, gathering large amounts of data, training/tuning models. Using a visual recognition API lets you, with just a few lines of code, implement functionality such as organizing and categorizing images/products, detecting and tracking objects, identifying faces among others.
## Are Image Processing and Facial Recognition APIs Free?
Pricing varies depending on the API. This collection features mostly freemium APIs, which means the API has a free subscription option in addition to paid subscription plans. Navigate to the pricing tab under the specific API to see the pricing details.
## The Image Processing and Facial Recognition APIs
Be sure to brose the APIs in this collection to find the one that will work best for your application or website. All of these APIs are available in multiple popular SDKs including:
- Python
- PHP
- Node.js / JavaScript
- cURL
And many more!
## How to Get Started
[Sign up](https://rapidapi.com/) today for a free RapidAPI account to begin testing and using the APIs in this collection (and many more!)
Imagga is an automated image tagging, image categorization, composition and color analysis API. It's just a matter of making an API call to extract the type of metadata relevant to you.
Imagga's deep learning and image recognition technology helps developers to build apps that understand images and companies to make sense of their large-scale image collections.
Colorize black and white pictures with AI. Our picture colorizer is based on the latest machine learning research. Web interface: https://hotpot.ai/colorize-picture
FaceMark is a powerful API for facial feature detection. It finds 68 points for a frontal face and 35 for a profile one. FaceMark detects landmarks for faces on the image specified by URL or uploaded as a file and produces JSON output containing a vector of facial landmarks and orientation for each face found. Check out visual demo here: http://apicloud.me/apis/facemark/demo
Remove backgrounds from images with AI. Our background removal is based on the latest research in semantic segmentation and image matting. Free trial: https://hotpot.ai/remove-background. Contact us for volume pricing.
FaceRect is a powerful and free API for face detection. It finds faces (both frontal and profile) on the image specified by URL or uploaded as a file and is able to find multiple faces on a single photo, producing JSON output with a bounding box for each face found. Check out visual demo here: http://apicloud.me/apis/facerect/demo/. Note that additionally FaceRect can find face features for each detected face (eyes, nose and mouth). For more precise face feature detection please see our FaceMark API: https://www.mashape.com/apicloud/facemark
Got a project that needs OCR and data extraction? Taggun API performs image transcription in real-time. Given a photo of a receipt, it recognizes key information like total amount, tax amount, date of purchase, merchant information, and line item amounts. It achieves this with 82.26% accuracy under 2.76 seconds.
Use all the power of AI and machine learning to reduce your costs on image recognition and moderation in your apps and products. The Everypixel Image Recognition is a set of pre-trained models available through the API. Thanks to easy algorithms assignment, developers can start using them once they sign up.
This API allows you to send an image on the form, and it will return in the response any text that the images includes. It is an Text Recognition software.
video OCR is an analysis cascade which includes video segmentation (hard-cut), video text detection/recognition, and named entity recognition from video text (NER is a free add-on feature). The analysis result of this method enables automatic video retrieval and indexing as well as content-based video search in video archives. A detailed example can be found in our demo website: https://www.semamediadata.com/demo/video-ocr/
License plate recognition involves capturing photographic video or images of license plates, whereby they are processed by a series of algorithms that are able to provide an alpha numeric conversion of the captured license plate images into a text entry.