Invoice and receipt annotation for document AI

Label invoice fields, receipt totals, and line-item regions in their original PDF context. Build reviewed document datasets for extraction models with page-aware labels and structured properties.
Try for free
Talk to sales
Invoice & Receipt Processing example with source-data annotations and contextual photographs.

Capture the details in financial documents

Create training examples that distinguish document fields, repeated rows, and the values your pipeline needs.
Invoice fields, line items, totals, and table columns prepared for document annotation.

Invoice header fields

Mark invoice numbers, supplier details, and dates as labeled page regions with the text values required by your task.
Receipt with labeled subtotal, tax, and total fields.

Receipt totals and tax

Label subtotal, tax, and total regions on receipts so each value has a clear semantic role.
Invoice line items with description and quantity regions annotated.

Line-item regions

Identify table rows and item fields such as description, quantity, and price using a consistent document labeling protocol.
Receipt with merchant, transaction date, and payment-method annotations.

Merchant and payment details

Label the merchant name, transaction date, and payment-related fields on receipts as distinct extraction targets.

Why AI Teams Choose Unitlab

Bring document annotation, shared ontologies, expert review, and dataset delivery into one workflow so your team can focus on useful training data.
15X
Faster Document Annotation
60%
Free Up AI Engineers’ Time
5X
Lower AI Development Costs

Annotation types for invoice & receipt processing

Pair page-aware visual regions with structured labels, text values, and properties for the document task.
Invoice fields, line items, totals, and table columns prepared for document annotation.

Page-aware field boxes

Draw or create labeled regions around invoice and receipt fields, retaining their PDF page context.

Structured field properties

Attach the text value and other defined properties to a labeled field so the annotation captures meaning as well as position.

Invoice-number region with its text value and field-role properties.

Invoice & Receipt Processing FAQs

What is invoice and receipt annotation?

It is the process of labeling the fields and regions that a document extraction model should identify, such as supplier names, invoice numbers, tax values, and totals.

Can I annotate both fields and line items?

Yes. Define region classes for header fields, totals, rows, and individual line-item fields according to your model’s training needs.

Can I use selectable text in a PDF?

Yes. The PDF text-selection layer can create visual annotation regions from selectable text. Scanned content can be labeled with the document’s visual tools.

Can labels distinguish subtotal, tax, and total?

Yes. Use separate classes or properties for each field role so visually similar numbers are not treated as interchangeable labels.

How do invoice and receipt labels differ?

Invoices often require supplier details, invoice numbers, and line items. Receipts emphasize the merchant, transaction date, and totals. A shared ontology can define the field roles needed by each document type.

How can I handle varied supplier layouts?

Collect examples across layouts, use the same field definitions, and review difficult tables or ambiguous values against the original page.

Which document format does Unitlab support?

The native document workflow supports PDF files. Each PDF remains one work item, with annotations attached to their original page numbers as teams navigate the document.

How are document annotations reviewed?

Reviewers inspect page regions and their labels, resolve comments, and correct or reject work through the configured workflow. Shared classes and properties keep document labeling consistent.

Does export preserve document page context?

Yes. Unitlab Unified Export Format preserves document metadata and page numbers alongside labels, properties, and supported relationships for downstream document AI pipelines.

Related resources:Document annotation platformForms & Structured Document ExtractionContract & Legal Document AIAnnotation quality assuranceUnitlab documentation
Need help designing a invoice & receipt processing workflow?Talk to Unitlab
Unitlab on InstagramUnitlab on YouTubeUnitlab on FacebookUnitlab on LinkedInUnitlab on X
©2026 Unitlab, Inc. All rights reserved.