Synthetic Invoices for ML Training

While companies grow more data-hungry, privacy restrictions and data scarcity often hamper ML model development. Because of this, synthetic data generation is playing an increasingly central role in AI model training. Innodata designed curated synthetic datasets to address these real-time industry pain points.

Curated datasets include synthetic documents in English, French, German, Italian and Spanish languages. Samples of each document type are available for download on our website. Current documents are:

-Bank statements
-Checks
-Credit card statements
-Credit notes
-Invoices
-Packing lists
-Purchase orders
-Receipts
-Remittance advice
-Utility bills

Each data set is a compilation of handmade templates based on real-world examples (bank statements match recent versions from real banks, etc.), all sourced with ethical data practices. All files are representative of clean-scanned readable PDF documents for easy ingestion into annotation platforms.

搜集汇总

背景与挑战

背景概述

该数据集旨在应对企业数据需求增长中的隐私限制与数据稀缺问题，通过生成合成文档支持AI模型训练。它包含多种语言（如英语、法语、德语等）的发票、银行对账单等文档类型，均基于真实模板手工制作并采用道德数据实践，以可读PDF格式提供，便于集成到标注平台。