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This workflow automatically scrapes the latest news from the BBC News website, intelligently filters out content suitable for broadcasting, and generates natural and fluent podcast scripts based on a large language model. Finally, it synthesizes audio from the script using text-to-speech services, improving news processing efficiency and addressing the cumbersome issue of manually writing scripts. It is suitable for media organizations, content creators, and educational platforms, enabling the rapid generation of high-quality audio news content and enhancing the listener experience.

This workflow can automatically scrape watermark-free original videos from specified TikTok video pages and upload them to Google Drive, generating publicly shareable links. By parsing the embedded JSON data within the page, it accurately locates the video playback address, avoiding the complicated process of manually downloading watermarked videos. This tool is particularly suitable for content creators and social media managers, simplifying the acquisition and management of video materials, enhancing work efficiency, and saving a significant amount of time and effort.

This workflow allows for the rapid publication of content to designated publications on the Medium platform through manual triggering, streamlining the content management and distribution process. It addresses the cumbersome issue of content creators switching between multiple platforms, improving work efficiency and reducing human error. This workflow is particularly suitable for teams and individuals who need to update content frequently, ensuring that articles can be timely and accurately pushed to target publications, thereby enhancing the impact of the content.

This workflow can automatically monitor video file uploads in Google Drive, extract audio content, and use AI to generate descriptions suitable for social media. Subsequently, the system will automatically synchronize and publish the video along with the description to major platforms such as TikTok, Instagram, and YouTube. With real-time error monitoring and Telegram notifications, it ensures a smooth publishing process, significantly enhancing the efficiency and quality of social media content, making it suitable for operators and content creators.

This workflow automatically retrieves YouTube video subtitles, uses AI models to intelligently generate a video chapter directory, and updates it in the video description, significantly enhancing the structuring and chaptering efficiency of video content. It addresses the cumbersome issue of manually adding chapters, making it suitable for video creators, educational institutions, and content operators. This allows viewers to better understand and watch the videos, while also improving the professionalism of the videos and viewer engagement.

This workflow automates the process of retrieving the latest AI news videos from a specified YouTube channel, creating a daily playlist, and synchronizing updates to Google Sheets for efficient management. It can filter upcoming live content to ensure the timeliness of the playlist and will notify users via Telegram upon completion, significantly reducing manual maintenance work. This workflow is suitable for various scenarios, including content operations, media management, and educational training.

This workflow achieves a fully automated process from text description to dynamic illustration video by integrating AI image and video generation services. Users only need to input a prompt to quickly generate high-quality, artistically rich dynamic visual content, significantly enhancing creative efficiency and reducing production costs. It is suitable for various scenarios such as social media, education and training, and advertising, helping content creators easily obtain professional-level works, making it an ideal solution for enhancing visual expressiveness.

This workflow can automatically scrape RSS news feeds from Google News, extract and decode news links, and obtain clean article addresses that are directly accessible. It supports news in multiple languages and regions, automatically limits the number of processed items to prevent request overload, and employs a reverse decoding mechanism to bypass URL encoding and obfuscation. The output links are convenient for subsequent use, making it suitable for applications such as media monitoring, content collection, and data analysis, significantly enhancing the efficiency and accuracy of obtaining news links.