Products

Core Transcription

Audio Intelligence

LeMUR

Use Cases

Telephony

Video

Virtual Meetings

Media

Explore

Why AssemblyAI

Summarization

AutoTune

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Why AssemblyAI

Core Transcription

AI models to accurately convert audio files, video files, and live audio streams into text at scale.

Audio Intelligence

AI models to summarize speech, detect hateful content, spoken topics, and more.

LeMUR

Introducing LeMUR, our new framework for applying powerful LLMs to transcribed speech

Unlock rich, accurate data from call recordings

Caption, categorize, and moderate video content

Easily transcribe and analyze insights from virtual meetings

Target and analyze media content from TV, podcasts, and radio

Develop

Learn

Featured Resources

Introducing LeMURannouncements

With a single line of code, LeMUR can quickly process audio transcripts for up to 10 hours worth of audio content, which effectively translates into ~150k tokens, for tasks like summarization and question answer.

Introducing Conformer-1announcements

We've released our new Conformer-1 model for speech recognition. Conformer-1 was trained on 650K hours of audio data and is our most accurate model to date.

How ChatGPT actually worksblog

Since its release, the public has been playing with ChatGPT and seeing what it can do, but how does ChatGPT actually work?

Playground

Try the API

About us

We are AssemblyAI

At AssemblyAI, we build on the latest AI breakthroughs to offer state-of-the-art, production-ready AI models.

Our mission

Our mission is to make State-of-the-art AI models accessible to developers and product teams at an extremely large scale through a simple API.

We've raised over $63M in funding from leading investors, including Insight Partners, Accel, and Y Combinator.

AssemblyAI today announced that it raised $30 million in a Series B round led by Insight Partners with participation from Y Combinator and Accel. To date, AssemblyAI has raised $64 million, which founder and CEO Dylan Fox tells TechCrunch is being invested in growing the company's research and engineering teams and data center capacity AI model training.

Flush with new cash, AssemblyAI looks to grow its AI-as-a-service business/TechCrunch

Our team

We're growing at breakneck speed and are hiring across all departments. Help us research and deploy advanced machine learning and deep learning technologies, and serve them to developers at startups and Fortune 500s through a simple API.

Unsupervised visual representation learning offers the opportunity to leverage large corpora of unlabeled trajectories to form useful visual representations, which can benefit the training of reinforcement learning (RL) algorithms. However, evaluating the fitness of such representations requires training RL algorithms which is computationally intensive and has high variance outcomes. To alleviate this issue, we design an evaluation protocol for unsupervised RL representations with lower variance and up to 600x lower computational cost.

Light-weight probing of unsupervised representations for Reinforcement Learning/AssemblyAI & NYU

Working at AssemblyAI

Join our fully remote, global team of researchers and engineers.

View all open roles

Staff Deep Learning Researcher, Speech

We're searching for a Staff Deep Learning Researcher to join our team, to continually push the state-of-the-art in speech recognition and NLP.

View position

Software Engineer, Python

We are growing quickly, and we're searching for a driven and dedicated Software Engineer to work on our multi-functional team.

View position