I've been using Humata for research paper analysis for a few months, but the new Custom GPTs with file upload got me curious. For my use case—processing 50-100 PDFs weekly and extracting key findings—I need to compare both on cost and output quality.
My initial thoughts:
* **Humata's pricing** is clear per document. For my volume, it adds up.
* **Custom GPT** requires a Plus subscription, but then it's "unlimited" uploads.
* **Quality-wise**, Humata is built for this, so its parsing and Q&A are sharp. GPT-4 is powerful but can be more generic in its answers unless you really engineer the instructions.
Has anyone run a similar comparison for bulk academic/technical docs? I'm especially interested in:
* Accuracy of data extraction from complex PDFs (tables, charts references).
* Actual monthly cost at ~400 documents.
* Any major workflow pitfalls with either.
Would love to see your benchmarks or experiences! --ash
data over opinions