Receipt OCR: Datasets & Models
Receipt OCR uses computer vision to detect and read text from scanned or photographed receipts, extracting fields like merchant name, line items, totals, and dates. It turns unstructured paper and image-based receipts into structured, machine-readable data.
Receipt OCR
This workflow detects a receipt in an image, locates key regions, and runs OCR to transcribe fields such as merchant name, line items, dates, and totals into structured data. It accepts inputs from phone photos, flatbed scans, and point-of-sale captures, and a receipt dataset can be used to train or fine-tune it for crumpled, faded, or thermal-printed receipts.
Try it out
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Why automate receipt ocr
Manually keying receipts into expense reports and accounting ledgers is slow, error-prone, and doesn't scale as transaction volume grows. In Document AI and OCR pipelines, receipts are among the messiest inputs, with inconsistent layouts, low-contrast thermal printing, and physical damage, which makes rule-based parsing brittle. A trained receipt dataset and OCR model can generalize across formats and vendors, extracting totals and line items with far less human review. This means faster reimbursements, cleaner financial records, and fewer transcription mistakes.
Key benefits
Automating receipt OCR reduces manual data entry, shortens processing time, and improves the accuracy of extracted financial fields. The models integrate with existing mobile capture apps, scanners, and POS cameras through standard APIs, so you can build on infrastructure you already have. As receipt volume scales across teams or locations, the same pipeline handles the load without adding headcount.
How to use it
- Upload an image: Drop any photo into the widget above to try receipt ocr for free, right on this page.
- Preview instant results: The model detects receipt, printed text, barcode, logo, total amount 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.
- 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.
- 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 for receipt ocr
When you're ready to build a production model for receipt ocr, 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.
Not sure where to start?
Describe your Receipt OCR project to Roboflow Agent.