Create videos from images using AI models like SVD, AnimateDiff, or Kling. Specify image URL, model, and duration to generate video content through queued processing.
Extract, filter, and search YouTube video transcripts with precision. Segment content, include metadata, and format output for detailed analysis and processing of multiple videos.
Extract images, videos, and links from HTML files and save them to a specified directory, enabling efficient resource management for document processing tasks.
Extract structured data from videos using a prompt. Specify a URL or base64-encoded video and retrieve results in JSON format for efficient data processing and analysis.
Enables LLM clients to programmatically generate videos using Plainly's API by listing available video templates, retrieving template parameters, submitting render requests, and checking render status.
Enables processing, validation, optimization, and analysis of 3D models with glTF/GLB support, including format conversion, compression (Meshopt/Draco), texture optimization, and detailed model statistics.