Extract line items, charges, weights, and tracking numbers from freight invoices, bills of lading, and shipping manifests—any carrier, any format—without templates.
Upload any document — PDF, scan, or photo — and get structured data back immediately. No setup, no templates, no waiting.
Drag and drop files, connect a cloud drive, or set up email auto-forwarding. Any file format works—PDF, JPEG, PNG, TIFF, or digital documents.
The AI identifies fields by context and meaning, not fixed coordinates. Names, dates, amounts, and custom fields are extracted automatically.
Get structured output in Excel, Google Sheets, CSV, or JSON. Use the REST API for direct integration into your systems.
“We process freight invoices from over 40 carriers each month. Automating extraction eliminated two full-time data entry positions and cut our invoice processing time by 75 percent.”
“The freight audit savings alone justified the investment. We caught rate discrepancies on the first batch that would have cost us over $12,000 in overpayments.”
“Bills of lading from our LTL carriers were the bottleneck in our receiving workflow. Now the warehouse team scans the BOL and data flows into our WMS automatically.”
Freight documentation is one of the most document-intensive areas in modern business. Every shipment generates a chain of paperwork—bills of lading, freight invoices, shipping manifests, delivery receipts, and customs declarations. Logistics teams that handle hundreds or thousands of shipments per month spend significant labor hours manually keying data from these documents into TMS and ERP systems. Freight OCR automates this process by reading documents contextually and extracting structured data without per-carrier templates.
The core challenge with freight document OCR is format diversity. A freight invoice from FedEx Freight looks nothing like one from XPO Logistics, Old Dominion, or a regional LTL carrier. Each carrier uses its own layout for charges, accessorial fees, weight breakdowns, and reference numbers. Template-based OCR tools require a separate configuration for every carrier format, creating a maintenance burden that grows with each new trading partner. AI-powered freight OCR reads the document structure contextually, identifying fields by meaning rather than position.
For third-party logistics providers and large shippers, freight audit is a critical use case. Freight invoices frequently contain billing errors—incorrect weight charges, duplicate accessorials, or rate discrepancies. Catching these errors requires extracting every line item from every invoice and comparing it against contracted rates. Lido extracts freight invoice data into structured spreadsheets where rate auditing can be automated, turning a manual spot-check process into comprehensive invoice validation.
Organizations evaluating freight OCR solutions should prioritize multi-carrier format support, accuracy on dollar amounts and weight figures, batch processing capability for high-volume operations, and integration with TMS and ERP platforms. Lido provides all of these along with SOC 2 Type 2 compliance and a REST API that returns structured JSON for direct system integration.
Audited controls over a sustained period, not a point-in-time check.
Bank-grade encryption at rest and TLS 1.2+ in transit.
Documents deleted within 24 hours. No copies retained.
Freight OCR handles bills of lading, freight invoices, shipping manifests, delivery receipts, packing lists, customs declarations, and carrier rate confirmations. The AI reads each document type contextually without requiring separate templates for each carrier or format.
AI-powered freight OCR identifies fields by their semantic meaning rather than fixed coordinates. This means a freight invoice from FedEx Freight, XPO Logistics, or any regional carrier is processed correctly on the first upload without per-carrier configuration.
Yes. The system extracts individual line items including base freight charges, fuel surcharges, accessorial fees, weight breakdowns, and reference numbers. Each line item becomes a separate row in the output, enabling detailed freight audit and rate comparison.
AI-based freight OCR typically achieves 95 to 99 percent accuracy on clearly printed documents. Confidence scoring flags uncertain values for human review, which is critical for dollar amounts and weight figures where errors directly impact freight spend.
Extracted freight data can be exported to Excel, Google Sheets, CSV, or JSON. Lido also provides a REST API for direct integration with TMS platforms, ERP systems, and freight audit software.
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Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine
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