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features
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Description

Cupace is an intuitive and effective photo editing app designed for cutting and pasting faces in images. With this app, users can craft amusing memes and humorous pictures by extracting a face or a section of an image and placing it onto a different one. Furthermore, it allows for the addition of text and stickers to enhance the photos. You can easily cut out a face by tracing around it with a magnifying glass tool that provides a zoomed-in view for precision. All the faces you cut out are conveniently saved in a gallery, enabling you to use them across various images without having to repeat the cutting process. By simply tapping on the images stored in your gallery, you can incorporate them into your current projects, and there's no limit to how many times you can use the same face in a single image. The app also supports the creation of layered images, allowing users to insert photos within photos. With a wide variety of stickers and embellishments available, you can personalize your creations further. Once you’ve finished editing, your photos can be saved and effortlessly shared on any social media platform you choose, making it easy to showcase your creativity.

Description

SightRadar is a cloud-based API designed for developers who want to integrate facial recognition capabilities such as search, comparison, and detection into their applications. It allows users to index faces from images into collections that they manage, search these collections using selfies, perform one-to-one face comparisons for verification, and detect faces with high accuracy and confidence. The API is designed to be compatible with AWS Rekognition, meaning it can accept similar request and response formats, enabling developers to seamlessly direct their AWS SDK clients to the SightRadar endpoint. With SDKs available for Python and Node/TypeScript, as well as a REST API, developers have flexible options for implementation. Potential applications range from managing photo galleries for events and weddings to facilitating identity verification during onboarding processes, and organizing media libraries, all adhering to consent-based practices. Images used for detection are processed in memory, and the indexed face embeddings remain within collections that customers can choose to delete at any time. The pricing model is based on the number of photos processed, with additional fees applied for storing face vectors, ensuring that developers only pay for the resources they utilize. This comprehensive service provides an effective solution for various identity verification and media management needs.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon Rekognition No 

Integrations

Amazon Rekognition Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$0.00062/photo
Batch processing is $0.00062 per photo; real-time is $0.00093 per photo. Face-ID searches cost $0.00062 each; storage is $6 per million face vectors monthly, prorated daily. Usage is prepaid in USD credits, with no subscription or minimum usage. Paid top-ups start at $10; higher account-specific purchase minimums may apply.
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Picmax

Website

picmax.app/

Vendor Details

Company Name

SightRadar

Founded

2026

Country

India

Website

sightradar.com

Product Features

Product Features

Alternatives

Alternatives

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