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What is inferdo?
Seamlessly integrate our state-of-the-art Computer Vision API into your application to harness the remarkable power of Machine Learning. At inferdo, we are proud to offer not only sophisticated pre-trained deep learning models but also the capability to deploy them efficiently at scale, which enables us to provide significant cost savings to you. Simply provide an image URL to our API, and we will handle the rest. Our Content Moderation API is designed to detect potentially inappropriate content, effectively recognizing nudity and NSFW material in both real and illustrated forms. For those interested in pricing, we offer a detailed comparison of our API costs against competitors, allowing you to make an informed decision. Additionally, you can enhance your application with our Image Labeling API, which classifies images by providing semantic labels from a vast array of categories. Our Face Detection API serves to accurately pinpoint human faces within images, while our Face Details API goes a step further by identifying specific facial features like age and gender. With this extensive range of APIs at your disposal, you are equipped with all the necessary tools to significantly elevate the functionality of your project and meet your unique needs. The versatility and efficiency of our offerings make them essential for any developer looking to innovate.
What is SightRadar?
SightRadar is a cloud-based API tailored for developers aiming to embed facial recognition features such as search, comparison, and detection into their applications. Users can organize images by indexing faces into manageable collections, search these collections with selfies, conduct one-to-one face comparisons for verification purposes, and accurately detect faces with high confidence levels. This API is designed to work seamlessly with AWS Rekognition, allowing it to accept similar request and response formats, which enables developers to easily redirect their AWS SDK clients to the SightRadar endpoint without hassle. With SDKs available for Python and Node/TypeScript, in addition to a REST API, developers benefit from versatile implementation choices. The potential applications are vast, ranging from managing photo galleries for events like weddings to enhancing identity verification during onboarding and organizing media libraries, all while following consent-driven practices. Images used for detection are processed in memory, and customers can delete the indexed face embeddings from collections whenever they choose. The pricing structure is based on the number of photos processed, with extra charges for storing face vectors, ensuring developers are billed only for the resources they actually use. This all-encompassing service stands as an effective solution for a variety of identity verification and media management applications, making it a valuable tool for developers. Furthermore, SightRadar’s user-friendly interface and robust features enhance the overall developer experience, promoting efficient integration into existing systems.
Media
No images available
Integrations Supported
API Availability
Has API
API Availability
Has API
Pricing Information
$0.0005 per month
Pricing Information
$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 Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Not specified
Training Options
Documentation Hub
Company Facts
Organization Name
inferdo
Company Location
United States
Company Website
inferdo.com
Company Facts
Organization Name
SightRadar
Date Founded
2026
Company Location
India
Company Website
sightradar.com
Categories and Features
Computer Vision
Not specified
Facial Recognition
Not specified
Categories and Features
Facial Recognition
Not specified