Case Studies

Over the past few months, AssemblyAI has been a proud sponsor at numerous hackathons around the world, including HawkHacks 2022

In our Built with AssemblyAI series, we showcase projects built with the AssemblyAI Core Transcription and Audio Intelligence APIs. This Real-time Speech-to-Image Generation project was built by students at ASU HACKML 2022.

In our Built with AssemblyAI series, we're featuring YouTube Transcripts, a platform that generates transcripts for YouTube videos with one click.

In our Built with AssemblyAI series, we showcase developer projects, innovative companies, and impressive products created using the AssemblyAI Speech-to-Text transcription API and/or our Audio Intelligence API. Our latest post features Wordcab.

In our Built with AssemblyAI series, we showcase developer projects, innovative companies, and impressive products created using the AssemblyAI Speech-to-Text transcription API and/or our Audio Intelligence APIs.

With AssemblyAI, CallRail has seen call transcription accuracy improve by up to 23% and has doubled the number of customers using its product.

Since the industry wide adoption of deep learning technology, the ability of AI to recognize speech has dramatically increased. Today, AI transcription technology is on the same level of accuracy as human transcription. At least, that’s the case with human speech. We were curious how well AI can recognize

In this benchmark report, we compare transcription accuracy between AssemblyAI, Google Cloud Speech-to-Text, and AWS Transcribe on Zoom Meeting Recordings.

In this report, we look at 12 different audio/video files from various sources, and review how accurately AssemblyAI, AWS Transcribe, and Google Speech-to-Text, are able to automatically transcribe each file.

In this report, we look at 5 different earning calls from various companies, and review how accurately AssemblyAI, AWS Transcribe, and Google Speech-to-Text are able to automatically transcribe these recordings.