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TensorReading Connector

https://tensorx.xin/
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Overview

Save papers to the TensorReading desktop app with one click. Requires the TensorReading desktop app running locally.

TensorReading Connector is the companion browser extension for TensorReading, a local-first literature manager. Requires the TensorReading desktop app running on your computer. The extension talks to the desktop app over a local-only connection (127.0.0.1:23120) — without the app running, saving and collection management will not work. You can download the desktop app from the TensorReading project page. Browse a paper on Google Scholar, arXiv, PubMed, or any page with a DOI — one click on the toolbar icon extracts the title, authors, abstract, journal, and DOI and saves it straight into your TensorReading collection. Search result pages support multi-select so you can import a full page of hits in a single batch. New collections can be created directly from the popup. If the desktop app is not running, the popup will tell you so instead of failing silently. Privacy: The extension only communicates with your local TensorReading desktop app and with public metadata services (CrossRef, arXiv) to resolve DOIs. No data is sent to any TensorReading-operated server.

Details

  • Version
    1.4.0
  • Updated
    July 26, 2026
  • Size
    36.32KiB
  • Languages
    English
  • Developer
    Website
    Email
    robeson1010@gmail.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

Manage extensions and learn how they're being used in your organization

TensorReading Connector has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.

TensorReading Connector handles the following:

Website content

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

Support

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