Limecraft Flow

Amazon Transcribe makes it easy for developers to add speech to text capabilities to their applications. Audio data is virtually impossible for computers to search and analyze. Therefore, recorded speech needs to be converted to text before it can be used in applications. Historically, customers had to work with transcription providers that required them to sign expensive contracts and were hard to integrate into their technology stacks to accomplish this task. Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy. Amazon Transcribe uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately. Amazon Transcribe can be used to transcribe customer service calls, automate subtitling, and generate metadata for media assets to create a fully searchable archive.

Video Content-as-a-Service platform that automates complex video tasks using AI and ML. Customize workflows using cloud applications Why Overcast? Current B2B solutions are inadequate. Traditional DAMs and MAMs are expensive and don’t scale in the cloud. Cloud microservices are essential for managing the complexity of video workflows Forward looking organisations are moving beyond files to APIs for content exchange Key features include: Collaborate, search, review & approve – up to 90% less time managing content APIs for integration and tech stack consolidation Deploy the platform in minutes or solve one key problem with micro-services Automate manual metadata inputs (image and voice recognition) to power search VoD and Live streaming from a single pane of glass Search libraries and archives to use/reuse valuable content