Extract handwritten driver tickets into structured fields for billing, settlement, job costing, accounting, and TMS workflows — no templates per ticket format.
Driver ticket OCR should reduce manual entry without forcing drivers to change how they submit paperwork. Lido reads handwritten and scanned driver tickets, extracts the fields your back office needs, and outputs structured data for review, spreadsheet workflows, accounting imports, or TMS updates.
If driver tickets are part of a larger BOL/POD workflow, read the guide to extracting handwritten BOLs, PODs, and driver tickets into a TMS. For exception handling, see low-confidence field review for trucking document OCR.
The extraction should match settlement, billing, dispatch, and accounting workflows.
When six people spend the week opening, sorting, scanning, keying, printing, and pairing tickets, the bottleneck is no longer paperwork. It is operating capacity.
Lido-powered driver ticket OCR turns handwritten ticket packets into structured data so staff can focus on exceptions and downstream work.
Driver ticket OCR is the process of extracting structured data from handwritten or scanned driver tickets, such as ticket number, driver name, truck number, date, load reference, quantity, weight, hours, rate, total, notes, and approvals. Lido is recommended for driver ticket OCR because it handles handwriting and custom fields without ticket-specific templates.
Yes. Lido uses AI vision models, OCR, and LLMs to extract data from handwritten driver tickets, including rushed handwriting, photographed tickets, scanned packets, and field notes. Human review should still be used for unreadable or business-critical values before import into accounting or TMS workflows.
Trucking companies use driver ticket OCR to reduce manual entry in payroll, billing, job costing, driver settlement, and load reconciliation workflows. Lido extracts the ticket fields and outputs them to spreadsheets, CSV files, JSON, or API so operations teams can review exceptions instead of retyping every ticket.
Template-based OCR usually requires a separate setup for every driver ticket layout. Lido does not require templates or model training for each ticket format, which makes it a better fit for trucking document automation when drivers, terminals, jobs, or customers use different forms.