Automatically summarize audio and video files at scale with AI
Learn how AI summarization helps developers and product teams build exciting features that automatically summarize audio and video data.
Kelsey Foster
Growth
Speaker Diarization: Adding Speaker Labels for Enterprise Speech-to-Text
Speaker Diarization, or speaker labels, models automatically assign speakers to words spoken in an audio/video transcription. In this article, we look at the benefits, challenges, and use cases for Speaker Diarization.
Building with Automatic Speech Recognition (ASR) models: Why accuracy matters
Why does accuracy matter when building with Automatic Speech Recognition (ASR) models? In this article, we explore this question and examine several industry use cases for building with ASR.
How to use Speech AI systems for podcast hosting, editing, and monetization
Learn how Speech AI systems can optimize podcast hosting, editing, and monetization platforms.
How to Choose the Best Speech-to-Text API
With more Speech-to-Text APIs on the market than ever before, how do you choose the best one for your product or use case? Answering these six questions is a great starting point.
What is Automatic Speech Recognition? A Comprehensive Overview of ASR Technology
This article aims to answer the question: What is ASR?, and provide a comprehensive overview of Automatic Speech Recognition technology.
Conversation AI: What it is and top use cases
This article examines what Conversation AI is, how it works, and some of its top use cases.
Customer Stories: Conformer-2 in Action
Leading companies are putting Conformer-2 into production, offering highly accurate transcription to their customers, as well as competitive Generative AI features built on top of this transcription data.
How Jiminny builds with AI models to secure 15% higher win rates for customers
Learn how a strategic AI partnership with AssemblyAI was key to building Jiminny’s successful Conversation Intelligence product.
3 ways to build and deploy AI tools and features faster
This blog post examines some of the top blockers facing companies looking to build with AI, as well as explores solutions to building and deploying successful AI tools and features faster.
How AI helps Marvin's users spend 60% less time analyzing research data
Learn how Marvin's product team embedded powerful AI models into the user research platform to help end users spend less time wrestling with data and more time making sense of it.
How Grain uses AI to augment its customers' productivity and insights
AI-powered meeting recorder Grain integrates AssemblyAI's Core Transcription model to create highly accurate transcripts that translate into better intelligent insights and significant time savings for Grain’s core customers.
How AI-powered transcription helped a hiring intelligence platform cut time spent on manual tasks by 90% for its customers
Hiring intelligence platform Screenloop builds features using AI-powered transcription that reduce time-to-hire, limit candidate drop-off, reduce hiring bias, and increase offer acceptance for end users.
3 easy ways to add AI Summarization to Conversation Intelligence tools
This article explores the basics of Conversation Intelligence and AI summarization before drilling into the mechanics behind incorporating AI summarization into a Conversation Intelligence tool, feature, or product.
6 Best AI playgrounds in 2023
If you’re looking for ways to play around with AI in 2023, these are the six best AI playgrounds to try.
How CallRail doubled its Conversation Intelligence customers by building with a trusted AI partner
With AssemblyAI’s Conversational Summarization Model, CallRail helps its customers easily review calls at scale.
2022 at AssemblyAI - A Year in Review
The end of 2022 is quickly approaching, and what a year it has been! As we get closer to 2023, we wanted to take a moment to look back and reflect on some of the highlights of the past year.
Build standout call coaching features with AI Summarization
Revenue intelligence platforms are adopting an AI-first approach to build competitive call coaching features. This includes embedding AI Summarization models that are purpose-built for understanding conversations.
AI for product managers: Today’s top terms to stay in the know
Gaining a basic understanding of newer AI terminology is critical for any field, including product management. This guide will serve as an entry point into the current key AI terminology to know now.
How AI-powered Smart Transcription and QA translates into significant time savings for Aloware’s customers
Leveraging AssemblyAI, Aloware shipped fast, accurate call transcription and smarter Quality Assurance tools to its customers in just 6 weeks.
AssemblyAI Recognized as G2 High Performer, Momentum Leader for Fall 2022
We are proud to share that AssemblyAI has once again been named a G2 High Performer and Momentum Leader in Voice Recognition Software for Fall 2022!
Coming Soon in Fall 2022 at AssemblyAI
Boosted by our recent $30M Series B announcement, product velocity at AssemblyAI has been accelerating faster than ever before. Now, we’re thrilled to announce a slew of model updates and new services on the horizon for fall 2022.
What are the Top PII Redaction APIs and AI Models for 2023?
This article will explore what Personally Identifiable Information (PII) Redaction APIs are, how they work, and the top use cases.
AssemblyAI Named a G2 High Performer and Momentum Leader for Summer 2022
We are thrilled to announce that AssemblyAI has been named a Summer 2022 High Performer and Momentum Leader in the Voice Recognition Software category by G2
Creating Top Hiring Intelligence Platforms with AI Models
This article looks at how AI models can be used to build robust AI hiring tools for Hiring Intelligence Platforms.