ModerateContent
Trusted across the internet to protect communities against offensive content. With an API that couldn't be easier to integrate into your website, app or platform. Analyze an anime (animated) image and rate it for the appropriateness of it's content for a type of audience - adult, teen, everyone. Tags images with detected labels. Detects names any visible anime characters. Detects copyrights (if any) of image content. Analyze text and return any bad words founds for 27 languages, also returns cleaned version of the text. Analyze an image and return the text found in the QRcode. Analyze an image and rate it for the appropriateness of its content for a type of audience - adult, teen, everyone.
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Kudos
Kudos® is an employee recognition and engagement platform that helps organizations build a culture of appreciation. It combines recognition, celebrations, communication, programs, and analytics in one solution.
Employees and managers can send recognition tied to company values, choose points, and add images or GIFs. Gamified goals and peer prompts encourage regular participation so recognition is shared broadly.
Milestone celebrations for birthdays, anniversaries, and onboarding are automated, while targeted announcements ensure important updates are seen and tracked. Awards, Nominations, and Incentives make it easy to celebrate achievements and drive participation. Analytics reveal trends and cultural impact, enabling leaders to refine programs.
Kudos supports Arabic, Chinese, Czech, English, French, Greek, Japanese, Polish, Portuguese, and Spanish.
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Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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NVIDIA Parakeet
NVIDIA Parakeet-RNNT-1.1B is a multilingual automatic speech recognition model built for quality transcription across voice applications. With 1.1 billion parameters and training on more than 90,000 hours of speech, it supports 25 languages and regional variants, including English, Spanish, French, German, Italian, Arabic, Japanese, Korean, Portuguese, Russian, Hindi, Dutch, Danish, Norwegian, Czech, Polish, Swedish, Thai, Turkish, and Hebrew. The model automatically detects the spoken language and uses a universal tokenizer created by training language-specific tokenizers and merging them into a shared vocabulary, enabling efficient cross-lingual learning and deployment. Parakeet-RNNT produces case-sensitive transcripts with upper and lowercase text, punctuation, spaces, and apostrophes, making the output suitable for production voice applications and downstream language understanding.
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