
Google’s Gemini AI application already supports uploading various file formats for analysis; however, the current range of supported formats remains somewhat limited. To enhance user experience and streamline analytical workflows, Google now plans to expand its compatibility to include additional file types.
Among the forthcoming enhancements is support for video uploads across multiple mainstream formats. Once a video is uploaded, Gemini will be able to generate subtitles, produce summaries, analyze specific segments, or extract content directly from the footage—for instance, identifying and OCR-extracting code snippets that appear onscreen.
Video uploads and processing, however, are computationally intensive and demand significant GPU resources. As such, Google intends to differentiate access by user tier: Gemini Advanced subscribers will be permitted to upload longer videos, while free users may encounter stricter limits.
According to the current codebase, uploaded videos may be restricted to durations under one minute. Nevertheless, users might be allowed to upload multiple short videos in succession. Given a standard frame rate of 30 FPS, a single one-minute video comprises approximately 1,800 frames—each requiring individual analysis. This technical constraint likely explains Google’s cautious rollout of extended video support, as processing more frames exponentially increases computational demands.
The list of supported video formats includes: 3GP, AVI, FLV, MOV, MP4, MPEG, MPG, and WEBM—effectively covering all commonly used formats, thereby ensuring seamless usability for most users.
Once this feature is fully launched, Gemini will support comprehensive analysis across a wide array of media types: video, images, PDFs, spreadsheets, documents, web pages, and code files. It will also integrate with Google Drive, allowing users to upload files directly from their cloud storage.
In addition to media and document support, future updates to Gemini may introduce integration with GitHub repositories, enabling developers to interact with project code directly within the platform—refining, editing, or generating new code through AI assistance.
Related Posts:
- Pro vs. Free: Gemini 2.5’s Tiered AI Power
- Beyond OpenAI: Apple Tests Google’s Gemini in Latest iOS Beta
- Android Revolution: Gemini Replaces Assistant on All Devices
- Gemini 2.5 Pro: Google’s Enhanced AI, Advanced Capabilities