Artificial Intelligence
Category: Amazon Transcribe
Announcing the Artificial Intelligence (AI) Hackathon: Build Intelligent Applications using machine learning APIs and serverless
Amazon Web Services (AWS) brings image and video analysis, natural language processing, speech recognition, text-to-speech, and machine translation within the reach of every developer. With machine learning (ML) services by AWS, you can plug in prebuilt AI functionality into your apps without having to worry about ML models. Thousands of developers have used Amazon ML […]
Create video subtitles with translation using machine learning
April 2025: This post was reviewed and updated for accuracy. Businesses from around the globe require fast and reliable ways to transcribe an audio or video file, and often in multiple languages. This audio and video content can range from a news broadcast, call center phone interactions, a job interview, a product demonstration, or even […]
Amazon Transcribe now lets you designate your own Amazon S3 buckets to store transcription outputs
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add a speech-to-text capability to your applications. You can use Amazon Transcribe to create text transcripts of audio and video files. Starting today, you can designate your own S3 buckets to store transcription outputs rather than S3 buckets maintained […]
Monitor Amazon Transcribe applications with AWS CloudTrail and Amazon CloudWatch Events
Monitoring your AWS resources is critical for security, performance, compliance, and cost control purposes. Therefore, our customers always ask for features to enable monitoring. Today, we are pleased to announce that Amazon Transcribe is integrated with AWS CloudTrail and Amazon CloudWatch Events to give you more visibility and control of your Amazon Transcribe resources. Let’s […]
VidMob combines computer vision and language AI services for data-driven creative asset production
VidMob is a social video creation platform that marketers of all sizes can use to develop personalized advertising communications at scale. VidMob uses machine learning (ML) to power its SaaS application. This application uses metadata extraction and sentiment analysis to provide marketers with actionable insights into which creative assets resonate with their intended audience, and […]



