SpaceLLama
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SpaceLLama is a powerful browser extension that leverages Ollama to provide quick and efficient web page summarization. It offers a seamless way to distill the essence of any web content, saving you time and enhancing your browsing...
Cost / License
- Free
- Open Source
Platforms
- Mozilla Firefox
Features
- Ad-free
- Support for MarkDown
- AI-Powered
- AI Summarization
Tags
- Text Summarization
- Ollama App
- Firefox Extension
- Ollama API
- website-summarizer
- Ollama
SpaceLLama News & Activities
Highlights All activities
Recent activities
help-mydetector added SpaceLLama as alternative to AI Plagiarism Checker
Maoholguin added SpaceLLama as alternative to SmartPDFs
t33m4h added SpaceLLama as alternative to Youtube Summarizer
justarandom added SpaceLLama as alternative to Summarify
SpaceLLama information
Developed by
TheCookingSenpaiLicensing
Open Source and Free product.Written in
Alternatives
26 alternatives listedSupported Languages
- English
AlternativeTo Categories
AI Tools & Services, Web BrowsersGitHub repository
- 89 Stars
- 8 Forks
- 4 Open Issues
- Updated
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Post comment/reviewWhat is SpaceLLama?
SpaceLLama is a powerful browser extension that leverages 
Ollama to provide quick and efficient web page summarization. It offers a seamless way to distill the essence of any web content, saving you time and enhancing your browsing experience.
Features
- One-Click Summarization: Quickly summarize any web page with a single click.
- Sidebar Integration: View summaries in a convenient sidebar without leaving the current page.
- Customizable Ollama Settings: Easily configure the Ollama endpoint and model through the options page.
- Markdown Rendering: Summaries are rendered in Markdown for better readability and formatting.
- Error Handling: Robust error handling with informative messages for troubleshooting.
- Token Limit Handling: Ability to set a token limit for the summary.
- Recursive Summarization with Context Chunking: Recursively summarizes content that exceeds the token limit by breaking it into smaller chunks, summarizing each chunk, and then combining the summaries to provide a more comprehensive summary (only if the token limit is exceeded).