datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
high-quality-invoice-images-for-ocr
Dataset Card for high_quality_invoice_images_ocr
This is a FiftyOne dataset containing 8,181 high-quality synthetic invoice images for OCR and document understanding tasks. The dataset includes 1,489 fully annotated samples with structured JSON metadata and raw OCR text, plus 6,692 unannotated images for semi-supervised learning or annotation projects.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/high-quality-invoice-images-for-ocr.InvoicesReceiptsPTThis is a dataset comprising 1003 images of invoices and receipts, as well as the transcription of relevant fields for each document – seller name, seller address, seller tax identification, buyer tax identification, invoice date, invoice total amount, invoice tax amount, and document reference.
It is organized as:
folder 1_Images: files with pictures od the invoices/receipts
folder 2_Annotations_Json: text files with the annotations on a json format
Also available at:… See the full description on the dataset page: https://huggingface.co/datasets/Francisco-Cruz/InvoicesReceiptsPT.invoiceshigh-quality-invoice-images-for-ocr
Dataset Card for high_quality_invoice_images_ocr
This is a FiftyOne dataset containing 8,181 high-quality synthetic invoice images for OCR and document understanding tasks. The dataset includes 1,489 fully annotated samples with structured JSON metadata and raw OCR text, plus 6,692 unannotated images for semi-supervised learning or annotation projects.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import… See the full description on the dataset page: https://huggingface.co/datasets/JuanfelipeX123/high-quality-invoice-images-for-ocr.invoices-donut-data-v1
Dataset Card for Invoices (Sparrow)
This dataset contains 500 invoice documents annotated and processed to be ready for Donut ML model fine-tuning.
Annotation and data preparation task was done by Katana ML team.
Sparrow - open-source data extraction solution by Katana ML.
Original dataset info: Kozłowski, Marek; Weichbroth, Paweł (2021), “Samples of electronic invoices”, Mendeley Data, V2, doi: 10.17632/tnj49gpmtz.2
high-quality-invoice-images-for-ocr
Dataset Card for high_quality_invoice_images_ocr
This is a FiftyOne dataset containing 8,181 high-quality synthetic invoice images for OCR and document understanding tasks. The dataset includes 1,489 fully annotated samples with structured JSON metadata and raw OCR text, plus 6,692 unannotated images for semi-supervised learning or annotation projects.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import… See the full description on the dataset page: https://huggingface.co/datasets/Shubhal829/high-quality-invoice-images-for-ocr.FATURA2-invoicesThe dataset consists of 10000 jpg images with white backgrounds, 10000 jpg images with colored backgrounds (the same colors used in the paper) as well as 3x10000 json annotation files. The images are generated from 50 different templates.
https://zenodo.org/records/10371464
dataset_info:
features:
- name: image
dtype: image
- name: ner_tags
sequence: int64
- name: words
sequence: string
- name: bboxes
sequence:
sequence: int64
splits:
- name: train… See the full description on the dataset page: https://huggingface.co/datasets/mathieu1256/FATURA2-invoices.invoices-and-receipts_ocr_v1
Dataset Card for "invoices-and-receipts_ocr_v1"
More Information needed
clearocr-invoice-document-ai
clearOCR Invoice Document AI Dataset
This dataset shows a complete invoice document AI workflow built around clearOCR.
It contains 423 high-confidence invoice examples with:
original invoice images,
OCR text generated by clearOCR,
Markdown reconstruction of the document,
structured invoice JSON generated by a local fine-tuned extraction model,
visual verification metadata.
The dataset demonstrates how clearOCR can serve as the OCR layer in an invoice automation pipeline where… See the full description on the dataset page: https://huggingface.co/datasets/Lukaszl/clearocr-invoice-document-ai.InvoiceBenchmark
InvoiceBenchmark
200 synthetic invoices with cent-perfect ground truth, designed to measure the one thing language models are supposed to be able to do: read a number.
The Pitch
Invoice processing is the use case every enterprise AI pitch deck opens with. The numbers are either right or wrong, and the distance between right and wrong can be measured to the cent. This dataset exists because we ran the experiment and discovered that the gap between "this looks easy" and… See the full description on the dataset page: https://huggingface.co/datasets/jngb-labs/InvoiceBenchmark.synthetic-bilingual-invoices-200
Synthetic Bilingual Arabic/English Invoices — 200 documents with per-field ground truth
200 rendered invoice images and a matching 17-field ground-truth record for every
one. Four language styles, 50 documents each:
style
what it exercises
ar
Arabic-only, Eastern-Arabic numerals (٤٤٬٥٤٨٫٣٥), RTL layout
bilingual
Arabic + English side by side, bidi field boundaries
en
English with Western numerals — the control
en-au
English (AU conventions) — different date/tax… See the full description on the dataset page: https://huggingface.co/datasets/HV09/synthetic-bilingual-invoices-200.test-document-invoicervl-cdip-invoice⚠️ This only a subpart of the original dataset, containing only invoice.
The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test images. The images are sized so their largest dimension does not exceed 1000 pixels.
For questions and comments please contact Adam Harley (aharley@scs.ryerson.ca).
The full dataset… See the full description on the dataset page: https://huggingface.co/datasets/chainyo/rvl-cdip-invoice.invoices-and-receipts_ocr_v2
Dataset Card for "invoices-and-receipts_ocr_v2"
Usage
from datasets import load_dataset
dataset = load_dataset("mychen76/invoices-and-receipts_ocr_v2")
dataset
More Information needed
invoice-ocr-json
Invoice OCR Dataset
This dataset contains annotated invoice images and their corresponding OCR-extracted text in structured JSON format. The data was originally sourced from an open-source invoice dataset and processed using the GPT-4o mini model to extract relevant fields such as invoice number, date, total amount, vendor, and line items.
Dataset Details
Dataset Description
This dataset is designed to support training and evaluation of document understanding… See the full description on the dataset page: https://huggingface.co/datasets/GokulRajaR/invoice-ocr-json.invoice-ocr-synthetic
InvoiceOCR-Synth
An annotation-noise-free synthetic dataset of receipt and invoice images for evaluating document information extraction systems, including vision–language models (VLMs) and OCR pipelines.
DOI: 10.57967/hf/9733
Code: github.com/alamgirqazi/synthetic-invoice-gen
Preprint: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7329421
Why this dataset
Public receipt and invoice benchmarks rely on human annotation of pre-existing images. When an… See the full description on the dataset page: https://huggingface.co/datasets/alamgirqazi/invoice-ocr-synthetic.arabic-latin-invoices-synthetic
Synthetic Arabic/Latin Invoices — label-first multimodal dataset
A large, perfectly-labeled synthetic invoice dataset for training multimodal
invoice-parsing models, with first-class support for Arabic script, mixed Arabic/Latin
layouts, and all three numeral glyph systems.
Every sample is generated label-first: a structured invoice record is sampled, then
rendered to pixels via a headless browser, and bounding boxes are read back from the same
DOM — so labels and boxes are… See the full description on the dataset page: https://huggingface.co/datasets/KhalfounMehdi/arabic-latin-invoices-synthetic.invoices-google-ocrPDF-Invoices-Indonesiainvoices-and-receipts_ocr_v2invoicesmd_invoicesbelege-de-invoices-sample1000 synthetic German invoices and credit notes (Rechnungen/Gutschriften),
each a rendered image plus a JSON label with a pixel box for every field and
every line item. This repository holds the free 40-document sample; the full
1000-document set is €14 (launch price) at j4zz.eu/belege.
Everything below this paragraph, including the German DATASET.md text, is
the same generator and the same fields, just a smaller draw for the sample.
SROIE and FUNSD are the invoice/form datasets most… See the full description on the dataset page: https://huggingface.co/datasets/laterrr/belege-de-invoices-sample.sparrow-invoice-v1docflow-invoice-samples-fa
DocFlow Invoice Samples — Persian & Bilingual
Synthetic invoice dataset for evaluating DocFlow AI field extraction pipelines.
Published by Aria AI Engineering Team.
Dataset Summary
Property
Value
Samples
50 (synthetic, OCR-friendly)
Languages
Persian (FA), English (EN)
Formats
PNG images + JSON annotations
Use case
Invoice OCR benchmarking, AP automation R&D
Synthetic
Yes — no real PII
Fields Annotated
vendor_name… See the full description on the dataset page: https://huggingface.co/datasets/alirezaaminzadeh/docflow-invoice-samples-fa.Brazilian_Bills_and_Invoices_Dataset
Brazilian Bills and Invoices Dataset
This dataset contains high-quality scanned and photographed images of Brazilian bills, invoices, and utility payment documents. It supports AI research in OCR, financial document understanding, and structured data extraction for Portuguese-language financial contexts.
Contact
For queries or collaborations related to this dataset, contact:
anoushka@kgen.io
abhishek.vadapalli@kgen.io
Supported Tasks
Task Categories:… See the full description on the dataset page: https://huggingface.co/datasets/HumynLabs/Brazilian_Bills_and_Invoices_Dataset.invoice-annotated-bboxManually annotated invoice page images exported from AnnotateEverything, with axis-aligned bounding boxes for 8 document-layout regions. Built for training object detectors (YOLO, DETR, etc.) on invoice macro-structure.
Dataset summary
Property
Value
Pages
76
Documents
1
Source PDF
train_images.pdf
Total annotations
771
Avg boxes / page
10.14
Image width range
425 – 2853 px
Image height range
570 – 4096 px
Export date
2026-06-22T19:27:38.375Z… See the full description on the dataset page: https://huggingface.co/datasets/AvoCahDoe/invoice-annotated-bbox.invoiceXpert
Overview
This dataset is designed for binary invoice classification. It contains document images labeled as either invoice or non-invoice.
The dataset is an amalgamation of two sources:
Invoice samples from the FATURA2 dataset
Non-invoice document samples from RVL-CDIP
Source Datasets
This dataset combines:
RVL-CDIP (subset) - A subset from jinhybr/rvl_cdip_400_train_val_test
Original RVL-CDIP dataset is in the public domain
Contains document images from the Legacy… See the full description on the dataset page: https://huggingface.co/datasets/wiF0n/invoiceXpert.rvl-cdip-invoice-extracted
RVL-CDIP Invoice Extracted
A structured invoice extraction dataset derived from the
RVL-CDIP invoice subset.
Each record pairs the original scanned invoice image with:
Raw OCR text produced by Azure Document Intelligence
Pre-extracted key-value fields from the Document Intelligence prebuilt-invoice model
Fully normalized invoice fields extracted by GPT-4o-mini via structured function calling
The dataset is designed for training and evaluating document understanding models… See the full description on the dataset page: https://huggingface.co/datasets/Navneetkumar11/rvl-cdip-invoice-extracted.layoutlmv3-invoice-dataset
LayoutLMv3 Invoice Dataset
This dataset is processed and ready for training LayoutLMv3 models for invoice information extraction.
Dataset Description
This dataset contains invoice documents with OCR-extracted text, bounding boxes, and entity labels for training document understanding models.
Dataset Structure
train: Training split
validation: Validation split (if available)
test: Test split (if available)
Features
input_ids: Tokenized text input… See the full description on the dataset page: https://huggingface.co/datasets/Kwash67/layoutlmv3-invoice-dataset.