Extract base charges, fuel surcharges, accessorial fees, and weight details from freight bills—any carrier format—into structured spreadsheets for audit and payment.
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 were spending 40 hours per week on freight bill data entry. Automating extraction gave our AP team back that time to focus on exception management and carrier negotiations.”
“The accessorial detail extraction caught $8,000 in unauthorized liftgate charges in our first month. That alone pays for the tool several times over.”
“We work with 60 different carriers. Building templates for each one was unsustainable. The AI handles every carrier format we throw at it without any setup.”
Freight bills represent one of the highest-volume document categories in logistics accounts payable. A mid-size shipper receiving 500 to 2,000 freight bills per month faces a constant data entry workload that delays payment cycles and introduces errors. Each freight bill contains base charges, fuel surcharges, accessorial fees, weight breakdowns, and multiple reference numbers that must be accurately captured for payment processing and freight cost analysis.
The variability of freight bill formats makes automation particularly challenging. Less-than-truckload carriers, truckload carriers, parcel carriers, and intermodal providers each use different invoice layouts. Even within the same carrier, formats change when rate structures are updated or billing systems are migrated. Traditional OCR approaches require a template for each carrier format, which means ongoing maintenance as carriers update their documents. AI-powered freight bill OCR reads each document contextually, adapting to any layout without pre-configured templates.
Freight bill audit is where OCR delivers the most measurable ROI. Industry research consistently shows that 3 to 5 percent of freight bills contain billing errors—incorrect tariff applications, duplicate charges, weight discrepancies, or unauthorized accessorials. At scale, these errors represent significant overspend. Lido extracts every line item from every freight bill into a structured format where automated rules can flag discrepancies against contracted rates, turning reactive exception handling into proactive cost control.
Logistics teams evaluating freight bill OCR should consider extraction accuracy on line-item detail, support for all carrier types, batch processing throughput, and integration with AP automation and freight payment platforms. Lido handles all major carrier formats, provides field-level confidence scores, and exports to Excel, CSV, JSON, or directly via REST API.
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 bill OCR uses AI document understanding to read carrier invoices and extract structured data including base charges, fuel surcharges, accessorial fees, weights, and reference numbers. The AI identifies fields by context rather than fixed coordinates, so it handles any carrier format without templates.
Lido processes freight bills from LTL carriers, truckload carriers, parcel carriers, and intermodal providers. The AI handles formats from carriers like FedEx Freight, UPS Freight, XPO, Old Dominion, SAIA, Estes, and hundreds of regional carriers without per-carrier setup.
Yes. The system extracts each line item separately, including liftgate charges, residential delivery fees, inside delivery fees, reweigh charges, and any other accessorials listed on the freight bill. This granular extraction enables detailed spend analysis and accessorial audit.
By extracting every line item from every freight bill into structured data, freight bill OCR enables automated comparison against contracted rates. This catches billing errors that manual spot-checking misses, typically recovering 3 to 5 percent of total freight spend.
Extracted data can be exported to Excel, Google Sheets, CSV, or JSON. The REST API enables direct integration with freight payment platforms, AP automation systems, TMS software, and ERP platforms like SAP, Oracle, and NetSuite.
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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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