Looking for a real-world alternative to Scholarcy for processing research PDFs. My team's current workflow is brittle: downloading PDFs, manually extracting summaries and references, then copying that data into our CRM and project management tools. Scholarcy's API looks decent for automation, but the pricing is a blocker for our volume.
I need something that can:
* Process academic PDFs and reliably pull structured data (summary, key claims, references).
* Offer a clean API or webhook to push that data into other systems (like Workato or a custom app). No manual exports.
* Handle at least a few hundred papers per month without breaking the bank.
Scite and Paperpile are out (different use cases). I've evaluated a few, but I'm skeptical of claims until I see the integration specs.
Here's what I'm testing, focusing on the integration angle:
**Zotero with plugins (like Zotfile, Better BibTeX)**
* **Pro:** Free, highly customizable. Can set up watched folders for auto-import, then use Zotero's API to fetch metadata.
* **Con:** The summarization is weak. You'll need another layer (like a local LLM script) to get Scholarcy-like summaries. Makes the pipeline more complex.
`// Example of pulling an item via Zotero's API`
`curl "https://api.zotero.org/users/12345/items?format=json&v=3" -H "Zotero-API-Key: your_api_key"`
* **Verdict:** Good foundation, but becomes a middleware project itself.
**Elicit**
* **Pro:** Actually designed for semantic search and summarization of research. Can ask specific questions of a paper.
* **Con:** API is in beta, focused more on their own interface. Getting a clean, automated dump of processed papers into another system feels secondary. Might hit similar pricing walls.
**Local LLM setup (e.g., using PrivateGPT, LlamaParse)**
* **Pro:** Ultimate control. Can parse PDFs, chunk text, and generate summaries entirely in your own environment. No API costs after initial setup.
* **Con:** Significant dev/MLOps overhead. Accuracy varies. You're building the entire pipeline, not integrating a service.
Has anyone actually wired any of these into a production workflow? My primary concern is reducing the manual step, not just having a better reading assistant. The middleware layer needs to be robust.
Integration is not a project, it's a lifestyle.
Yeah, the Zotero plugin route feels like building a whole new pipeline from scratch. You're right about the extra layer for summaries adding complexity.
I've heard some teams use the OpenAI API directly on extracted text, but then you're managing the PDF parsing yourself. Have you looked at Iris.ai? They offer an API for research context, but I'm not sure about pushing to external tools.