mbramani7k downloadsSummarize YouTube videos using Gemini AI. Extract transcripts, generate summaries, and create structured notes.
Generate AI-powered summaries of YouTube videos directly in Obsidian using Gemini, OpenAI, Anthropic, and other compatible LLMs.

To start using the YouTube Video Summarizer plugin, you need to:
Once these steps are completed, the plugin is ready to generate summaries of YouTube videos.
Each AI provider comes with pre-configured models, but you can add, edit, or remove models based on your needs.
You can add a new model by clicking the "Add Model" button within a provider section. You'll need to specify the model name (technical name used by the API) and optionally a display name. For editing models, only the display name can be modified as the model name is the technical identifier used by the API.
Note for OpenAI users: Make sure that both default and custom models you use are available in your OpenAI project. You can verify model availability in your OpenAI dashboard.
The plugin supports adding custom AI providers that are compatible with OpenAI or Anthropic APIs. This is useful for services like OpenRouter, Grok, or self-hosted models.
To add a custom provider, click the "Add Provider" button at the bottom of the AI Providers tab. You'll need to specify a name for your provider, select the API compatibility type, enter your API key, and optionally set a custom API endpoint URL.
Examples of compatible providers:
- OpenRouter has been tested with this plugin using the endpoint URL:
https://openrouter.ai/api/v1. You can find your API keys at OpenRouter Settings and explore available models on their website.- Grok has been tested using the endpoint URL:
https://api.x.ai/v1. API keys and model names can be found in the Grok console.- Any other provider with compatible API endpoints can also be added
Custom providers can be edited or removed using the respective icons next to their names.
At the top of the settings page, you can select which model will be used for generating summaries from the "Active Model" dropdown. This dropdown shows all available models from all configured providers.
After selecting a model, it will be used for all summary operations until you change it again.
The Summary Settings tab provides several options for customizing how your video summaries are generated:
Summary Prompt: Allows you to customize the instructions sent to the AI model. This is useful if you need specialized summary formats or want to focus on specific aspects of videos.
Maximum Number of Tokens: You can safely increase this value depending on your provider:
If the summary is truncated (i.e., it hit the token limit), the plugin appends a warning: [Summary truncated due to max token limit. Please increase 'Max Tokens' in settings.]
Temperature: Adjust this value to control how deterministic or creative your summaries will be. Lower values (closer to 0) produce more consistent and focused summaries, while higher values introduce more creativity and variation.
Model pricing is displayed in the settings UI — next to each model in the provider accordions and in the active model dropdown.
Ctrl/Cmd + P)Ctrl/Cmd + P)The plugin prepends video metadata at the top of the note:
# Video Title

👤 [Channel Name](channel-url) 🔗 [Watch video](video-url)
The section headings and content below are generated by the AI model following the configured summary prompt. By default, the AI is instructed to produce sections like Summary, Key Points, Technical Terms, and Conclusion.
If this plugin helps your YouTube + Obsidian workflow, consider supporting development.
❤️ Sponsor this plugin on GitHub
Your support helps maintain the plugin, fix bugs, improve documentation, and add new features. No pressure — starring the repo or sharing feedback also helps a lot.
This project is licensed under the MIT License - see the LICENSE file for details.