In this video, I go through using the new Gemini 2.5 Pro for audio transcription and audio analysis tasks and show you how to get the best results out. 

Colab: https://dripl.ink/mXQLh
Pricing: https://blog.google/products/gemini/gemini-preview-model-billing-update/
Gemini 2.5 Pro Capabilities: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-2.5-pro-exp-03-25

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👨‍💻Github:
https://github.com/samwit/llm-tutorials

⏱️Time Stamps:
00:00 Intro
00:19 Gemini 2.5 Pro Experimental Blog
01:03 Gemini 2.5 Pro Capabilities
01:27 Output Tokens
02:01 Pricing
02:30 Supported Audio Formats
02:43 Technical Details About Audio
05:25 Demo (Colab)
06:43 Audio Diarization Process

Sam Witteveen AI is a publication offering insights, tutorials, and resources for artificial intelligence (AI) enthusiasts and practitioners. Readers can learn about machine learning algorithms, deep learning frameworks, and AI applications. With tutorials, case studies, and expert interviews, Sam Witteveen AI provides  guidance and expertise for building and deploying AI solutions.

Sam Witteveen

Gemini 2.5 Pro significantly enhances audio transcription capabilities by generating up to 64,000 tokens, facilitating transcriptions of up to 2 hours of audio. This model efficiently handles speaker diorization, making it ideal for summarizing podcasts and conducting automated questioning over audio. Users can upload large audio files and opt for specific timestamps for transcription, making it highly versatile for lengthy audio content.

Gemini 2.5 Pro for Audio Transcription