I’m deep into a literature review for a big infrastructure project and need to process a huge volume of academic papers every week. My current workflow with Scholarcy is okay, but I’m hitting some scaling and accuracy walls with 500+ PDFs. Consensus keeps popping up as an alternative, specifically for its claim of extracting claims and linking to citations.
Has anyone run both tools at this volume for technical or scientific papers? I’m trying to decide if switching (or using both in tandem) is worth the effort.
My main pain points right now:
* **Accuracy on technical details:** Scholarcy sometimes misses nuanced findings in methods sections, which is critical for my work.
* **Batch processing speed:** When I dump hundreds of papers, the summary quality seems to drop.
* **Export flexibility:** I need structured data (like CSV/JSON) to feed into my own analysis scripts, not just flashcards or highlights.
Consensus’s promise of a “citation graph” and consensus meters is intriguing, but I’m skeptical about how well it handles very niche, recent systems research papers. I’m also curious about the API limits and cost at this weekly volume.
If you’ve stress-tested both, I’d love to hear:
* Which tool gave you more reliable “key findings” extraction?
* How do they compare for batch operations?
* Is Consensus’s database broad enough for cutting-edge CS/engineering topics?
Ship fast, measure faster.