Build unforgettable

with leading Speech AI models

Turn your voice data into valuable insights by leveraging the world’s most accurate Speech AI models that can recognize, transcribe, and analyze speech.

>90%

Accuracy

17+

Available languages

1.1M+

Hours of training data

<600ms

Real-time latency

Speech Recognition
Speech-to-Text

Our automatic speech recognition model is more than 90% accurate. It transcribes in 17+ languages and is trained on more than 1.1M hours of data to ensure you get the cleanest and most accurate transcription.

Real-Time Transcription

Transcribe conversations for meetings, phone calls, and live events in real-time—at low latency and high quality.

Features

Custom Vocabulary

Speaker Labels

Profanity Filtering

Word Timestamps

Confidence Scores

Word Timings

Filler Words

Speech Threshold

Custom Spelling

Custom Formatting

Speech Understanding
Audio Intelligence

Our Audio Intelligence model sets the industry standard by offering features such as Sentiment Analysis, PII Redaction, Auto Chapters, and more, on top of Speech-to-Text, so you can unlock insights from your voice data.

LeMUR

LeMUR (Leveraging Large Language Models to Understand Recognized Speech) is a framework for applying Large Language Models to voice data. With LeMUR, you can quickly generate summaries and recaps, ask sophisticated questions about your voice data, and draw deeper insights.

Features

PII Redaction

Content Moderation

Sentiment Analysis

Summarization

Entity Detection

Auto Chapters

Key Phrases

Brian Cox explains the rules of quantum mechanics. The probability that a particle that's at some place will be at some different place later is given by a very simple rule. This is called the path integral formulation of quantum Mechanics that underlies everything else.

Brian Cox is asked to explain the rules of quantum mechanics succinctly within a time limit.

He begins by stating that the most basic version they know is Feynman's formulation, which says particles hop from place to place with a particular probability.

He then explains that the probability a particle will move from one place to another is calculated using the particle's action, which involves its mass, time, and distance traveled. These action quantities are added up.

Science & Technology
Physics
Quantum Mechanics
Education

Particles hop from place to place with a particular probability.

Simple rule to calculate probability a particle will move from point A to point B.

Probability is calculated using the action - related to mass, time, and distance.

This is a safe transcript that discusses quantum mechanics in an educational manner. Brian Cox provides a high-level overview of the path integral formulation without going into any sensitive or inappropriate details.

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Get started in seconds

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import assemblyai as aai

transcriber = aai.Transcriber()
transcript = transcriber.transcribe(URL, config)

print(transcript.text)