With an overwhelming number of podcast episodes being created and limited time available for listening, it has become a challenge for podcast enthusiasts. According to surveys, listeners typically have less than 7 hours per week to dedicate to podcasts, allowing for roughly 5 to 6 episodes. However, the global podcast landscape offers over 2 million podcasts waiting to be explored. To tackle this issue, Podwise comes to the rescue by providing a solution that allows users to make the most of their available time. With Podwise, you can learn from structured knowledge and selectively listen to chapters that pique your interest. This feature enables you to optimize your learning experience and focus on the content that matters most to you. Moreover, Podwise seamlessly integrates with popular tools such as Notion, Obsidian, Readwise, and more, streamlining your knowledge management workflow. By utilizing these integrations, you can enhance your overall learning efficiency and create a holistic approach to knowledge consumption. In summary, Podwise empowers users to make the most of their podcast experience, optimizing their learning and knowledge management processes.

SpeechText.AI can use one of several machine learning models to transcribe audio files based on the original type of the audio. It provides multiple pre-built models, and you can improve the quality of speech recognition for various types of audio. If you specify the type of the original audio, this will allow the service to process your audio files using a machine learning model trained from data similar to your file.