Open Paper

Open Paper enters a crowded space of AI research tools, but it differentiates with a strong emphasis on citation transparency and privacy. The AI doesn't just answer questions—it cites the exact paper and passage, which is a major plus for researchers who need trustworthiness over speed. The free tier is surprisingly generous: 10 paper uploads, 200 MB storage, and 5,000 chat credits per week, enough for light use. Upgrading to the $12/month Researcher plan unlocks 500 uploads, 3 GB storage, and 150,000 weekly credits—reasonable for heavy readers. Where it falls short is integrations. Zotero support is there, but no Mendeley, EndNote, or reference managers beyond that. There's no mobile app, offline mode, or API. The Teams plan is still 'coming soon,' so collaborative features are absent. Also, the tool is web-only, so you must be online. Compared to alternatives like Paperpile or ReadCube Papers, Open Paper is more AI-centric and less focused on traditional citation management. For researchers who mainly want to ask questions about their PDFs and get reliable answers, Open Paper is a strong contender. But if you need robust bibliography formatting or team collaboration, you'll want to wait for Teams or look elsewhere. In practice, we'd reach for Open Paper when doing deep literature reviews on a specific topic, using the AI to quickly extract key claims and check citations. It's less suited for casual reading or for those who rely on a mobile device. The weekly credit limits can also be a constraint for power users, but the affordable price makes it easy to try.