In a recently published case study, Amazon spotlights VideoPeel’s technology and solutions for collecting, managing, publishing, and analyzing consumer testimonials. The video case study can be found on Amazon’s AWS customers page here. Or check it out below:
“We’re very appreciative of Amazon’s efforts in capturing the story behind VideoPeel, and our robust AI and Machine Learning solutions for capturing, managing, publishing, and analyzing consumer videos. We’re not only helping brands show the truth about their products and services, we’re also helping them analyze consumer videos to find the truth about their consumers,” said CEO and co-founder of VideoPeel, Patrick Tedjamulia.
We’re excited to continue expanding our AI and Machine Video Insights service to more of our customers to help them analyze the video review libraries we’re building for them.
VideoPeel is expanding its platform with new video captioning, translation, and publishing tools designed for enterprises using video at scale. Organizations can now add captions in multiple styles, translate videos into 10 languages, export in landscape, portrait, or square formats, and instantly publish videos to a Video Carousel, Video Wall, or Video Library. These new capabilities are especially valuable for VideoPeel’s primary enterprise use cases: user-generated content and video interviews. Enterprises can now turn customer testimonials, employee stories, candidate interviews, and customer feedback videos into polished, multilingual assets that are easier to share, publish, and reuse across websites, campaigns, recruiting, and global teams.
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At VideoPeel, we know your time is valuable — especially when it comes to collecting video responses that drive insights, engagement, and conversions. That’s why Automated Rewards is now live: a smarter, smoother way to incentivize your audience and boost participation in your video interviews and video surveys.
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Discover how VideoPeel’s video interview software helps you hire faster, assess skills, and evaluate students with scalable asynchronous video interviews.
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