metadata

license: apache-2.0
task_categories:
  - image-to-text
language:
  - en
  - de
tags:
  - pdf
  - receipt
  - 1000+
  - image
  - document
size_categories:
  - 1K<n<10K

Openpdf-MultiReceipt-1K

Openpdf-MultiReceipt-1K is a dataset consisting of over 1,000 receipt documents in PDF format. This dataset is designed for use in image-to-text and document understanding tasks, particularly Optical Character Recognition (OCR), receipt parsing, and layout analysis.

Notes

No text annotations or metadata are provided — only the raw PDFs.
Ideal for tasks requiring raw document inputs like PDF-to-Text pipelines.

Dataset Summary

Size: 1,249 receipts
Format: PDF only (no extracted text)
Split:
- train: 1.25k files
Languages: Primarily English and German
License: Apache 2.0

How to Use

You can load the dataset using the datasets library:

from datasets import load_dataset

dataset = load_dataset("prithivMLmods/Openpdf-MultiReceipt-1K")

Each entry in the dataset contains:

{
  "file": <PDF file object>
}

Use Cases

OCR model training
Document layout detection
Multi-lingual receipt understanding
Data extraction from scanned documents