QuoteDashAI

Most voice-to-text tools on a jobsite treat background noise as your problem. QuoteDashAI records the full audio clip first, then processes it server-side with automatic retry on failure — a bad take gets reprocessed, not retyped. The core flow is: tap the mic, speak the job, review the AI-extracted line items, attach photos to any item, select one of nine branded PDF templates, and send — or hold it in queue until you’re back in signal range. A separate invoice path skips the quote entirely for work already done, and approved quotes convert to numbered invoices without re-entering data.

The differentiating feature is the Price Book. Set a default rate for a service call, a power point, or a metre of pipe once — when you say it again, the app recognizes the item and suggests your saved price. It works in any currency and requires no supplier account. For contractors quoting the same services repeatedly, this cuts the time per repeated line item roughly in half compared to dictating rates from scratch each time.

QuoteDashAI fits a specific operational shape: one or two people, Android phones, jobs quoted in the field, no existing software stack that needs to talk to the quotes. The Android-only constraint is a hard wall for iOS users — there is no workaround. No API means the PDFs it generates don’t feed automatically into QuickBooks, Xero, or any other system; someone downloads and re-enters. For a sole trader this is tolerable. For a five-person operation processing dozens of quotes a week, the manual export step becomes the bottleneck that drives teams toward tools with native accounting integrations.

The app is Android-only, requires no desktop setup, and the vendor states PDF generation never depends on a network connection. Transcription and AI extraction run server-side, so an internet connection is required for that processing step — documents already generated can be accessed and sent offline, but initial audio processing needs connectivity at some point before the quote is finalized.