Easily summarize emails, docs, articles, and videos across the web — without sacrificing your privacy
Add to Firefox - it's free
Orbit doesn't require account creation or save your session data.
Get the gist of your emails and articles in seconds.
Get to the important parts of long videos.
Ask questions about page content and quickly find specific information.
Choose your preferred summary length and format.
Work faster with relevant question recommendations.
How does the Andromeda Galaxy compare in size to the Milky Way?
When was the Andromeda Galaxy first discovered?
Orbit is a Firefox add on that uses AI to summarize and answer queries about web content such as articles and videos.
When a user asks Orbit to summarize or query content, Orbit gathers the context (eg. text, images, videos, etc.) of the page the user is viewing and provides a summary or answer. Orbit works on websites including Gmail, Wikipedia, NY Times, YouTube, and more.
For the current version, we are using a Mistral LLM (Mistral 7B) hosted within Mozilla’s GCP instance.
No, you can use Orbit without creating an account.
No, it does not.
When you use Orbit, we receive a payload back that contains the contents of your query; information about the model queried (such as the name and version number); information about technical problems with processing the query, if any; the number of tokens required to process the query; and the model outputs in response to the query. We do not store this data beyond temporarily caching it to process your query and return the outputs to you.
Orbit summaries are only available on the page that you are actually on. As soon as you navigate away from that page, Orbit erases the session.
No, it is not.
The Mistral 7B LLM used to support Orbit is hosted by Mozilla and the queries are never shared with Mistral or any other services.
We have built Orbit to remain agnostic about which model we use and we are constantly benchmarking the most recent open-source models available. This allows us to easily swap out models as technology improves.
The tradeoff of not sharing user data with the model is that we cannot influence the model or train it.
