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Document extraction built for logistics & shipping workflows.

Turn complex shipping documents into structured, validated data — even when formats vary across carriers, partners and regions throughout the supply chain.

extracted.json · Shipping & Logistics
// extracting · BOL-87421
  • bol_number BOL-87421 100%
  • carrier ACME Lines 100%
  • container_id MSCU-9821 99.6%
  • route Hamburg → Valencia 100%
  • weight_kg 12,450 99.8%
  • hs_code 8471.30.9999 HS code mismatch · sample lookup
0 docs Verified · validated today · 99.4% accuracy

Powering document extraction for teams at

Shipping operations rely on documents between many partners.

Logistics teams sit in the middle of carrier networks, freight forwarders, customs brokers and shippers — each using different systems and document formats. In reality, this means:

  • Inconsistent BoL layouts

    Bills of lading arrive in dozens of carrier-specific formats.

  • Varying freight invoices

    Freight invoices vary by carrier, region and language.

  • Scans of scans

    Documents are often scanned, forwarded or low quality.

  • Handwritten notes

    Critical fields show up as handwritten annotations.

  • Mixed multi-doc files

    Large PDFs bundle BoLs, PODs and invoices together.

  • Field mismatches

    Inconsistencies delay reconciliation and downstream processing.

As document volume grows, manual review becomes unavoidable — and increasingly costly for both ops and finance teams.

Why logistics automation breaks at scale.

Shipping documents change between partners. Without built-in validation and consistency checks, teams end up reviewing manually anyway — turning automation into another bottleneck instead of a solution.

Raw inbound
BoL · acme_carrier.pdf
Invoice · partner_eu.pdf (low-quality scan)
POD · handwritten_notes.jpg
Mixed bundle · shipment_4827.pdf
Customs · es_aduanas.pdf
Structured · validated
shipment.json
{
  "bol_number": "BOL-87421",  "carrier": "ACME Lines",  "origin": "Hamburg",  "destination": "Valencia",  "weight_kg": "12,450",  "container_id": "MSCU-9821"
}
0manual reviews per shipment

From carrier paperwork to reliable shipment operations.

Invofox supports each stage by structuring documents before any data extraction begins.

  1. Step 01

    Intake & capture

    Ingest bills of lading, freight invoices, shipping instructions, customs docs and PODs from any source — across formats, layouts and quality.

  2. Step 02

    Document understanding & structuring

    Invofox splits, classifies and analyzes layout to identify document types, tables, sections and key fields — even when layouts vary by carrier or geography.

  3. Step 03

    Data extraction

    Extract key shipping fields, line items, identifiers, totals and tables with a mix of OCRs, LLMs and layout-aware models tuned for real logistics docs.

  4. Step 04

    Evaluation & validation

    Field-level accuracy, mismatch detection and consistency checks surface errors before data enters downstream systems.

  5. Step 05

    Ready for production workflows

    Structured, validated, TMS/WMS/ERP-ready data your ops team can rely on for reconciliation, processing and downstream workflows.

Built for shipment execution, not just OCR.

Shipping workflows depend on turning carrier paperwork into reliable operational data. Invofox is built for production environments where document accuracy directly impacts shipment execution, delivery timelines and billing.

  • 01

    Automate document handling at scale

    Not just text extraction — full document pipeline.

  • 02

    Schema-based extraction

    Across diverse shipping and logistics documents.

  • 03

    Layout, structure & context

    Not just raw OCR output — full document understanding.

  • 04

    Field-level accuracy metrics

    Measure accuracy before data is used downstream.

  • 05

    Surface mismatches & edge cases

    So workflows don't silently fail in production.

  • 06

    Continuously improving models

    Through controlled experimentation and feedback.

Structured data that fits your existing systems.

Invofox processes shipping documents asynchronously and delivers schema-aligned, validated JSON via webhooks — reliable integration with TMS, WMS, ERP and custom supply-chain systems without rebuilding your stack.

Invofox API webhooks · async
TMS Transportation Management
WMS Warehouse Management
ERP Enterprise platforms
Billing Reconciliation workflows
Ops tools Internal operations
Invofox API Webhooks · async delivery
TMS Transportation Management
WMS Warehouse Management
ERP Enterprise platforms
Billing Reconciliation workflows
Ops tools Internal operations
Plug-and-play API: no brittle pipelines, no per-vendor rebuilds.

Enterprise-grade security, independently verified.

Click on our certifications below to see the details.

Compliance
SOC 2 badge
SOC 2 Active
Type II · audited annually by AICPA

Our systems and controls are independently audited every year against the AICPA Trust Services Criteria — security, availability, processing integrity, confidentiality, and privacy.

Zero-retention

Process. Deliver. Erase.

Documents deleted right after delivery. No copies, no backups, no logs.

Opt-in · Only for Scale and Enterprise clients

No copies No backups No logs
Self-hosted

Run it on your servers.

Deploy Invofox inside your own infrastructure. Same API, your perimeter.

Only for Enterprise clients

On-prem VPC Air-gap
Want the full report? Audits, policies, sub-processors and the latest pen-test summary live in our trust center. Open trust center

Frequently asked questions.

~/invofox / faq.json
who.json
1
2 ··"question" "Who typically uses Invofox in shipping and logistics workflows?"
3
4 ··"answer" "Shipping operations, 3PL teams, freight forwarders and finance functions handling multi-partner document volumes. Teams usually start with a single high-pain document type (BoLs or freight invoices) and expand incrementally as accuracy and integration prove out in production."
5
Adoption who.json
main 0 errors 0 warnings UTF-8 LF JSON

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