Xingsheng AI
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Xingsheng AI
Overview :
Xingsheng AI is a tool focused on generating AI podcasts. It utilizes advanced LLM models (such as Kimi) and TTS models (such as Minimax Speech-01-Turbo) to quickly transform text content into engaging podcasts. The primary advantage of this technology is its efficient content generation capability, which helps creators rapidly produce podcasts, saving time and effort. Xingsheng AI is suitable for content creators, podcast enthusiasts, and users who need to quickly generate audio content. Its focus is on providing users with a convenient podcast generation solution. Currently, there is no specific pricing information available.
Target Users :
Xingsheng AI is ideal for content creators, podcast enthusiasts, and users who need to quickly generate audio content. It helps creators rapidly produce podcasts, saving time and effort, while offering multiple input methods and advanced settings to meet diverse user needs.
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Website Views : 82.8K
Use Cases
A self-media creator uses Xingsheng AI to convert a long article into a podcast for quick publication on audio platforms.
A student organizes class notes into text and uses Xingsheng AI to generate a podcast for review and sharing.
A corporate trainer uses Xingsheng AI to convert training documents into podcasts to facilitate employee listening during commutes.
Features
Supports podcast generation from multiple input methods, including chat, website URL, long text, and documents.
Offers advanced setting options, including the selection of output language, podcast style, LLM model, and TTS model.
Allows users to add podcast roles to create multi-character dialogue podcast content.
Supports Chinese output language to meet the needs of domestic users.
Generated podcasts can be directly used for publishing or further editing.
How to Use
1. Visit the Xingsheng AI official website (https://ixingsheng.com/).
2. Choose your input method (chat, website URL, long text, document, etc.).
3. Enter content or paste a link, and click to generate a podcast.
4. Select the output language, podcast style, LLM model, and TTS model in the advanced settings.
5. Add podcast roles (if needed), complete the podcast generation, and download or publish.
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