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OCR · Document AI & OCR

Invoice field extraction: Datasets & Models

Detect and extract structured fields from invoice documents using computer vision, turning scanned or photographed invoices into machine-readable data.

Invoice field extraction example
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Invoice field extraction

This OCR workflow performs invoice detection on scanned or photographed invoice images, locating key fields such as invoice number, vendor details, dates, line items, and total amounts. It combines layout detection to find where each field appears on the page with text recognition to transcribe the contents, converting raw document images into structured, machine-readable data.

Try it out

Powered by general detection model

Run on custom image

Drop an image here or click to upload

Detecting classes:

Why automate invoice field extraction

Manual invoice processing in accounts payable is slow, error-prone, and hard to scale across the wide variety of vendor layouts a business encounters. Invoice detection with a vision model automates the tedious work of finding line items and totals across inconsistent formats, so teams stop keying data by hand and chasing transcription mistakes. In a Document AI and OCR context, this means faster approval cycles, cleaner audit trails, and the ability to process high volumes without adding headcount.

Key benefits

Automating invoice field extraction reduces data-entry labor and cuts the error rate that plagues manual keying, while feeding validated fields straight into ERP or accounting software. The models run on existing document scanners, mobile capture apps, and PDF pipelines, so no new hardware is required. As invoice volume grows, the same workflow scales to thousands of documents and adapts to new vendor layouts through retraining.

How to use it

  1. Upload an image: Drop any photo into the widget above to try invoice field extraction for free, right on this page.
  2. Preview instant results: The model detects invoice number, total amount, line item, vendor logo, date field, table within seconds and returns an annotated image with structured predictions, so you can immediately see how well it works. Adjust the detection classes and re-run until the results fit your scenario.
  3. Like what you see?: With a free Roboflow account, you can deploy this workflow with the Serverless Cloud API, customize it in your workspace, or train OCR / document model on your own images for production accuracy.
  4. Get started for free: No code or training data required to begin: upload, review the results, and make it part of your stack in a single click.
Recommended model

Recommended model for invoice field extraction

When you're ready to build a production model for invoice field extraction, we recommend training OCR / document model. Unlike the ready-to-use model in the demo above, you fine-tune it on your own labeled images for higher accuracy, then deploy to a Serverless Cloud API endpoint.

Train your own model
Roboflow Agent

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