What is Invoice Data? Examples, Datasets and Providers
What is Invoice Data?
Invoice data is information contained in an invoice, which is a document issued by a seller to a buyer that outlines the details of a transaction. It typically includes the names and contact information of both parties, a description of the goods or services provided, quantities, prices, payment terms, and any applicable taxes or discounts. Invoice data is crucial for financial record-keeping, tracking sales, and facilitating payment processing.
Best Invoice Databases & Datasets
Here is our curated selection of top Invoice Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Nexdata | OCR Data | 500,000Â Images| Computer Vision Data| Invoice Data| AI Training Data
HitHorizons | Company Invoice Data API | 20M+ Companies | 10 European Countries | 20+ Data Points | Monthly Updated | GDPR-Compliant
TagX -10000+ Invoices, Payslips, & receipts Document dataset | Intelligent Document processing data | Global Coverage | Refreshed monthly
Knuckle Head OCR Invoice Images Dataset - available for several industries in USA & India
DocuTrie| Receipt Data | AI-OCR for Document Processing | Bills, Invoices, Receipts and more with updated and custom data templates
Nexdata | OCR Data Collection Services | 100+ Languages Resources | Computer Vision Data |Image Collection for Machine Learning (ML) Data
Grepsr | PDF Scraping | Parse PDF to Table | Covert PDF to Table
Monetize data on Datarade Marketplace
Top Invoice Data Providers & Companies
Popular Use Cases for Invoice Data
Invoice Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Invoice Data.
Frequently Asked Questions
Where Can I Buy Invoice Data?
You can explore our data marketplace to find a variety of Invoice Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.
How is the Quality of Invoice Data Maintained?
The quality of Invoice Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Invoice Data Updated?
The update frequency for Invoice Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Invoice Data Secure?
The security of Invoice Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Invoice Data Delivered?
Invoice Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Invoice Data.
How Much Does Invoice Data Cost?
The cost of Invoice Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Invoice Data for your needs.
What Are Similar Data Types to Invoice Data?
Invoice Data is similar to other data types, such as E-Receipt Data and Email Receipt Data. These related categories are often used together for applications like Artificial Intelligence (AI) and Transaction Data Enrichment.
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