While GStory.ai can handle most video tasks efficiently, it does have the following limitations when dealing with large files:
- Increased upload time: Videos over 2GB may take longer in normal network environments.
- Increase in processing time: Videos longer than 30 minutes take exponentially more time for AI to analyze
- memory limit: Some complex features (e.g., video translation) have a limit on the size of a single file (usually no more than 4GB)
Optimization recommendations for these limitations:
- Document preprocessing: First, use a local editing program to split a long video into segments of about 10 minutes.
- format conversion: Convert source files to MP4/H.264 encoding, balancing quality and volume
- stagger usage to ameliorate peak load: Avoid operating the platform during peak hours (e.g., during the day on weekdays).
- batch: Prioritize the use of "AI Clip Creator" for very long videos to extract key parts for re-processing
It should be noted that the platform has a single-day processing capacity limit for free users, and commercial users can contact customer service to open large file processing privileges. In a 5G network environment, it is recommended to use a modern browser such as Chrome to get the best upload performance.
This answer comes from the articleGStory: an AI toolkit for working with video and imagesThe
May not be reproduced without permission:AI productivity tools " What limitations does GStory.ai encounter when dealing with large file videos? Any optimization suggestions?
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