ZotExtract is a Zotero 7-10 plugin that lets you query large language models about your research PDFs. Run local LLMs for full privacy or connect to online providers.
Using Firefox? On the release page, right-click zotextract.xpi under Assets and choose Save Link Asβ¦. Then install the saved file in Zotero.
Everything you need to leverage LLMs for your research workflow β right inside Zotero.
Use Zotero metadata, abstracts, and indexed PDF full text by default inside paper-focused extraction sessions.
Review papers as columns and extraction questions as rows, with horizontal scrolling and persisted resize controls.
Choose whole question sets or individual questions in a three-column workflow that stays out of Settings.
Run local LLMs (Ollama, LM Studio, etc.) for complete data privacy. API keys stay in your local Zotero profile.
Export XLSX, CSV, TSV, JSON, Markdown, and HTML from completed sessions without raw PDF full text or item-context export clutter.
Connect any OpenAI-compatible API. Configure model, base URL, context window, request timeout, and prompt templates.
Install the plugin, configure your LLM provider, and start extracting insights.
Save zotextract.xpi from Assets on the latest release. In Firefox, right-click the file link and choose Save Link Asβ¦. A normal click tries to install it in Firefox and may show an unsigned-add-on warning. Keep Firefox security settings unchanged.
In Zotero 7, 8, 9, or 10, go to Tools β Plugins (or Add-ons), click the gear icon, and choose Install Plugin From File (or Install Add-on From File). Select the saved zotextract.xpi.
Open Settings β ZotExtract and enter your API base URL, model, and key. Or point to a local Ollama server.
Right-click selected items or a collection, start a ZotExtract session, pick extractions, and export reviewed results.
Connect to any OpenAI-compatible API β cloud or local.
ZotExtract is developed at the Chair of Information Science, University of Regensburg, as part of NFDIxCS β the National Research Data Infrastructure for and with Computer Science (NFDIΓCS). NFDIxCS promotes the implementation of FAIR Data Principles for computer-science research data and software artefacts.
NFDIxCS is funded by the German Research Foundation (DFG) under the National Research Data Infrastructure (NFDI) programme.