Invoice Datasets for Accounts Payable AI
Annotated invoice corpora across formats, vendors, and languages with header, line-item, and tax field extraction labels. Built for production AP automation and invoice processing AI.
20+
Years in AI training data
1,000+
Language locales
1M+
Hours of video annotated
ISO
27001 certified
The Challenge
Beyond Public Invoice Benchmarks
SROIE and CORD provided early benchmarks for receipt and invoice understanding. Production AP automation handles far more structural variation, multi-line items, and vendor-specific layouts than those benchmarks capture.
Invoice AI must extract header fields, line items, tax breakdowns, and payment terms across thousands of vendor-specific templates. A model trained on benchmark invoice datasets fails on the unique format combinations your AP system processes daily.
Off-the-shelf invoice datasets suffer from template diversity gaps (limited vendor variety) and line-item annotation gaps: most benchmarks annotate only header fields, missing the line-item extraction that drives AP automation.
LXT builds custom invoice datasets from your vendor invoice population. We annotate header fields, multi-line item tables, and tax fields across the template diversity your AP automation encounters, with document-level and field-level quality verification.
Why Teams Upgrade
Limitations of Public Invoice AI Datasets
Standard benchmarks serve research well. Production deployments need more.
| Dataset | Primary Limitation | Impact |
|---|---|---|
| SROIE | Receipt focus rather than invoice; simple single-block layouts; no multi-line-item table annotation; English only | No line items |
| FUNSD | Generic forms only; no invoice-specific field taxonomy; insufficient scale for AP use cases | No invoices |
| CORD | Restaurant receipts only; narrow domain; no B2B invoice templates or complex line-item structures | Wrong domain |
| FinTabNet | Financial table extraction only; no invoice header fields; SEC filing text rather than vendor documents | Tables only |
| DocBank | Academic papers and mixed documents; no AP-relevant annotation schema; layout detection without extraction labels | Wrong type |
Not sure which specs you need?
Our data specialists help you scope the right dataset for your model architecture.
Configurable Specifications
Specs Built Around Your Model
Public datasets come fixed. Yours is configured for your architecture, environment, and use case.
Invoice Types
Template Coverage
- Vendor Formats: Hundreds of unique vendor templates per delivery batch
- Document Formats: PDF, scanned image, photographed, and EDI-converted invoices
- Languages: Multi-language invoices across 30+ currencies and tax systems
Field Annotations
Extraction Targets
- Header Fields: Vendor name, invoice number, date, PO number, payment terms
- Line Items: Description, quantity, unit price, total per line with table structure
- Tax and Totals: Subtotal, tax rate, tax amount, discount, and grand total fields
Quality Controls
Annotation Standards
- Field Verification: Extracted values cross-checked against source document text
- Line-Item Alignment: Row and column relationships verified in complex multi-item tables
- Currency Handling: Multi-currency invoices annotated with currency code and amount pairs
Need a custom configuration?
We've built datasets across dozens of domains and use cases. Let's scope yours.
Capturing Complexity
Edge Cases in Invoice Processing
High-accuracy models handle rare attributes that public datasets miss.
Multi-Page Invoices with Continued Line Items
Long invoices span multiple pages with line-item tables continuing across page breaks. Multi-page relationship annotation supports document-level extraction models.
Non-Standard Tax Structures
Invoices from different jurisdictions include VAT, GST, HST, and multi-rate tax breakdowns. Region-specific tax field annotation ensures correct extraction across global vendor bases.
Combined Invoice and Remittance Documents
Some vendors combine invoice, packing list, and remittance advice in one document. Document section segmentation annotation supports multi-task extraction pipelines.
Low-Quality Photographed Invoices
Field staff photograph invoices with smartphones in poor lighting. Realistic scan degradation in training data ensures robust extraction under operational image quality.
Ground Truth Quality
Human-in-the-Loop Annotation
Precise annotation bridges raw data and learnable signal. Expert annotators deliver precision automated tools can't match.
Header Field Annotation
Expert annotators mark all standard and custom header fields with bounding boxes and normalized value labels. Field type taxonomy customized to your AP extraction schema.
Line-Item Table Extraction
Row-level and cell-level bounding boxes for multi-item tables including description, quantity, price, and total columns with spanning cell support.
Tax and Total Annotation
Tax line segmentation with rate, basis, and amount fields annotated separately for multi-rate and compound tax invoices across global jurisdictions.
Industry Applications
Invoice Datasets for Your Domain
Custom taxonomies and collection protocols for specific deployment contexts.
AP Automation
Invoice capture, PO matching, ERP integration
Spend Analytics
Vendor spend categorization, anomaly detection
Audit and Compliance
Invoice verification, duplicate detection, fraud flags
Global Procurement
Multi-currency, multi-language AP processing
Mobile Capture
Field invoice photography and instant extraction
AP Chatbots
Invoice status queries, dispute resolution AI
Manufacturing
Supplier invoice processing, materials procurement
Retail and Distribution
High-volume supplier invoice automation
Compliance & Ethics
Secure and Ethical Data Collection
Data collection involving people and sensitive content requires robust security, compliance, and ethical protocols at every stage.
Global Demographic Reach
Collection across 1,000+ locales and diverse demographics to prevent algorithmic bias in your deployed models.
ISO 27001 Certified
Sensitive projects processed in certified secure facilities meeting the highest information security standards.
GDPR & Privacy Compliance
All collection and annotation protocols vetted for consent and privacy. Legally robust for global deployment.
Frequently Asked Questions
Invoice Dataset FAQs
Can you use our existing invoice archive?+
Yes. We work with your historical invoice archive to produce a representative annotated training set. We sign data processing agreements and handle all privacy and confidentiality requirements.
Do you support multi-language and multi-currency invoices?+
Yes. We annotate invoices in 30+ languages and all major currencies. Tax field annotation follows country-specific schemas for VAT, GST, HST, and other tax structures.
How do you handle line items in complex tables?+
We annotate each line item row with individual cell bounding boxes and value labels. Spanning cells, merged rows, and continued tables across pages are fully supported.
What formats does your annotation output in?+
COCO JSON, spaCy DocBin, and custom key-value JSON formats. Field extraction outputs include normalized values (dates in ISO 8601, amounts as floats) alongside raw text.
Can you annotate non-standard vendor templates?+
Yes. We handle any vendor template regardless of layout complexity. For entirely novel templates, we develop annotation guidelines from the first occurrence and apply consistently across the batch.
What does a custom invoice dataset cost?+
Projects range from $10K for focused single-vendor or single-market datasets (1,000-5,000 invoices) to $80K+ for large multi-vendor, multi-language collections with full line-item annotation.
How quickly can you turn around a dataset?+
Standard invoice annotation projects complete in 3-6 weeks. Rush timelines available for focused annotation scopes.
Get Started
Scope Your Custom Invoice Dataset
Share your vendor document types, extraction fields, and volume requirements. An AP AI data specialist will provide a detailed annotation plan within 48 hours.
Please provide us with the details of your inquiry and one of our team members will be in touch.
Join our global team of contributors today
Apply here to be considered for future projects including data collection, annotation and transcription
Start application