Create engaging, digestible content
Create engaging, digestible content
Audio split into chapters
Speechmatics automatically detects natural transition points to divide files into chapters. We use best-in-class machine learning models to identify optimal places for chapters based on topic changes.
Automatically headered
As well as being divided up and summarized, each chapter is given a heading to summarize the content within it, making it easy to scan and find the most relevant and engaging content.
Reduce load & processes
Save time by skipping the part where you review and format a transcript manually, and speed up workflows and processes by using the inbuilt timestamps to use chapters and their summaries seamlessly.
An example - Key information from a Keynote
An example - Key information from a Keynote
The first three chapters from Satya Nadella's keynote at Microsoft Inspire 2023 - detected by the Speechmatics API, with summaries:
(00:00:00) Introduction and Welcome The speaker welcomed the audience to the Inspire conference. He expressed excitement to be back at Inspire as a platform company. He set the stage that this event brings together Microsoft's ecosystem of partners to innovate together.
(00:01:46) The AI Platform Shift The speaker discussed the major AI platform shift happening with a new generation of AI that will transform every industry and category of computing. He outlined two key dimensions of this shift - more natural interfaces using language and a reasoning engine to provide predictive insights from data.
(00:08:07) Partner Opportunity with the AI Platform Shift The speaker emphasized the tremendous partner opportunity created by the AI platform shift. He estimated it could grow the addressable market by $2-2.5 trillion. He highlighted the ability of Microsoft's diverse partner ecosystem to reach every community globally and drive rapid adoption of AI.
The entire 34-minute keynote that Satya Nadella gave at Microsoft Inspire 2023.
A sneak peak of Chapters in action
Our Product Manager, Rohan, demonstrates Chapters in practice.
In the age of bite-sized content and social media, listeners lose interest in long, unbroken media.
Now you can create easy-to-read chapters of your favorite podcasts. Everything is generated automatically, giving the audience handy summaries about what they've missed and the ability to skip to that section of the audio.
We use best-in-class machine learning models to identify optimal places for chapter markers based on topic changes in media files.
FAQs
Can I specify how many chapters will be generated?
No - the number of chapters created is not managed by the user. A combination of our cutting-edge ASR and the best Large Language Models automatically segment the media into chapters.
How can I access Chapters?
We're excited to launch Chapters alongside our other existing capabilities as part of our move into Speech Intelligence.
Chapters is now available through the Speechmatics API which you can try today!
What are the benefits of using Chapters?
In the age of bite-sized content and social media, listeners lose interest in long, unbroken media. Creating properly timed chapter breaks in long audio files is a tedious and time-consuming process. Listening through and marking timestamps is inefficient, monopolizing valuable human attention.
Chapters enable users to jump to the points of interest. This removes the need to manually mark up your media, satisfying that natural urge to make content easier to parse, and giving you grouped information to use in other workflows.