Can iDBQuery connect a whole folder of mixed file types at once?

Yes — you can point iDBQuery at an entire folder containing mixed file types (PDFs, Excel, CSV, JSON, scanned images) and it ingests them together, running OCR on scans, into one live queryable model you can ask in plain language, with every answer cited to the source file.

Instead of connecting files one at a time, you can hand iDBQuery a whole folder — even one with a jumble of formats — and it processes them together.

  • Point at the folder. iDBQuery ingests the mix — PDFs, Excel, CSV, JSON, and scanned images — recognising each file's type.
  • OCR for scans. Scanned documents and images are read with OCR so their contents become searchable and queryable, not just stored.
  • One model. Structured files become queryable tables, documents become searchable text, and everything joins your one live queryable model with the semantic layer applied.
  • Ask in plain language. *"Across these files, what's the total value of invoices from Q1, and which contracts renew this year?"* — iDBQuery answers, citing each figure back to the exact file (and page) it came from.

This is ideal for messy real-world folders — a contracts directory, an invoices dump, a due-diligence data room — where the useful information is spread across many formats. The differentiator is that a single question can span spreadsheets and scanned PDFs together, with no manual sorting, no per-file setup, and no pipeline — and every answer is traceable to its source document. Add new files and re-ingest on a schedule to keep it current. For confidential folders, the Desktop app and air-gapped deployment keep every file local so nothing leaves your machine.

Updated 2026-06-22