Problem

As a content creator, I noticed that it was time-consuming to create marketing content from podcast audio. It required listening to the entire podcast episode and manually transcribing the relevant parts. This process was tedious and took up a lot of time.

Additionally, creating marketing content from podcast audio was not always accurate as it relied on human transcription which could lead to errors in the final output. This resulted in a loss of valuable time and resources.

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Solution

To solve this problem, we built an app that uses AI to automatically transcribe podcast audio and extract relevant quotes for social media posts, blog articles, or email newsletters. The app uses natural language processing algorithms to identify key phrases and topics discussed in the podcast episode.

The app then generates a summary of the episode along with quotes that can be used for marketing purposes. The user can edit the generated content as needed before publishing it on their preferred platform.

Impact

Reduced time spent on creating marketing content by X%
Increase in engagement on social media platforms by X%
This app has revolutionized how we create marketing content from our podcast episodes. It has saved us so much time and effort while also improving the accuracy of our output.

Team

Team Member #1 - Software Engineer
- Developed the natural language processing algorithms and integrated them into the app
Team Member #2 - UX Designer
- Designed the user interface for the app and conducted user testing to improve its usability

AI App Transcribes Podcasts for Marketing Content