Plan the right path from scanned and handwritten trucking documents to approved TMS data using CSV, Excel, API, webhook, or middleware workflows.
The safest TMS integration starts with extraction and validation before automation. Lido extracts trucking document fields into structured output, your workflow validates and reviews exceptions, and only approved rows move into the TMS through CSV, Excel, API, webhook, or custom import.
For the complete architecture, see freight document OCR to TMS. For rollout sequencing, use the trucking document automation implementation checklist.
Choose the least complex path your TMS supports today.
Best for legacy TMS imports and early workflow testing.
Best for review, cleanup, and operations signoff before import.
Best for middleware, validation, and routing workflows.
Best once your extraction fields and exception logic are stable.
Do not start by wiring OCR directly into production TMS records. First, prove extraction on real BOLs, PODs, driver tickets, and rate confirmations. Then define required fields, review rules, and import mapping. Only after those pieces are stable should you automate the final push into the TMS.
Lido fits this sequence because it can start with spreadsheet output, then graduate to CSV, JSON, API, or middleware as the trucking document automation workflow matures.
Trucking document automation integrates with a TMS through CSV import, Excel upload, API, webhook, RPA, or middleware, depending on what the TMS supports. Lido outputs structured data in flexible formats so teams can start with spreadsheet imports and move toward API workflows when ready.
Yes. Lido can still support a legacy TMS with no API by exporting structured trucking document data to CSV or Excel in the column format the system accepts. This lets operations teams reduce manual entry without replacing their TMS.
Before TMS import, teams should validate required fields, date formats, load references, duplicate documents, carrier names, customer names, locations, and unreadable handwriting. Lido can provide extracted data for validation workflows so questionable rows get reviewed before bad data enters the TMS.
Most trucking teams should not build API integration first. Start by using Lido to extract fields into a spreadsheet or CSV, confirm the data model, define exception rules, and only then automate the TMS import through API or webhook once the workflow is stable.