Can I upload a ZIP of files to iDBQuery?
Yes, in effect: extract the ZIP and point iDBQuery's folder ingest at the resulting folder, and every CSV, Excel, JSON, or PDF inside becomes part of one live queryable model. iDBQuery ingests folders of files, so a ZIP just needs unpacking first before its contents are queried together.
iDBQuery ingests whole folders of files, so an archive is easy to handle: unzip it, then point iDBQuery's folder ingest at the extracted folder. Every supported file inside, CSV, Excel, Google Sheets exports, JSON, and PDFs (which are OCR'd), becomes part of a single live, queryable model. You do not analyse each file separately; iDBQuery treats the folder as one source you can question as a whole.
This is handy when someone hands you a ZIP of monthly exports, scanned documents, or a data dump. After ingest you can ask things like:
- Combine all the monthly CSVs and show total revenue by month across the whole set.
- Across every PDF invoice in the archive, what did we spend by vendor?
- Which files are missing an expected column or contain duplicate records?
Every figure is cited back to the specific file and row, so you always know which document a number came from, even inside a large batch. Because iDBQuery builds one model, the archive's contents can also be joined to your live databases and other sources in the same answer. If files share a structure (all the same export, different months), iDBQuery stacks them automatically so trends span the entire set. The only manual step is unpacking the archive first, after which the plain-language question works exactly as with any folder.
Updated 2026-06-22