Waveline provides an API for extracting structured data from various document formats, including PDFs, images, and forms, without the need for training data. This technology enables businesses to efficiently retrieve critical information from complex documents, enhancing data processing accuracy and reducing manual effort.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to efficiently extract structured data from diverse document formats like PDFs, images, and forms, leading to manual data entry, errors, and delays in critical business processes. Traditional methods often require extensive training data and custom model building for each document type, increasing complexity and cost.
Solution
Waveline provides an API that enables businesses to automatically extract structured data from various document types, including PDFs, images, and forms, without the need for training data. The API leverages AI-powered data extraction to parse complex tables and layouts, providing accurate and efficient data retrieval. Waveline supports a wide range of document formats, allowing users to extract information from shipping documents, resumes, driver's licenses, contracts, and more. The platform offers a raw-extract mode for parsing complex tables and layouts, previously only understood by humans.
Target Audience
Waveline's primary customers are businesses of all sizes that need to extract data from documents, including those in shipping, HR, and legal industries.
Features
- AI-powered data extraction engine that requires no training data
- Support for a wide range of document formats, including PDFs, images, and spreadsheets
- Raw-extract mode for parsing complex tables and layouts
- Pay-as-you-go pricing model
- REST API for easy integration with existing systems