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WAVELINE EXTRACT
Overview :
WAVELINE EXTRACT is a robust API capable of extracting data from documents, images, and PDFs. Utilizing AI technology, it can extract data from any document format without the need for training data. It supports multiple formats, including PDFs, images, and spreadsheet files. WAVELINE EXTRACT offers three distinct pricing plans: the free STARTER plan, the popular POPULAR PRO plan, and the ENTERPRISE plan. It is adaptable to a wide range of scenarios, such as file transfers, resume handling, and passport processing. Key features include full data extraction from PDFs, data extraction from various formats, customizable pricing, and local solutions.
Target Users :
WAVELINE EXTRACT is suitable for various scenarios, including file transfers, resumes, and passports.
Use Cases
{
"title": "File Transfer",
"description": "Use WAVELINE EXTRACT to extract the necessary information from disorganized transfer documents, achieving precise and high-quality extraction without the need for training data."
}
{
"title": "Resume",
"description": "Use WAVELINE EXTRACT to extract required information from resumes, achieving precise and high-quality extraction without the need for training data."
}
{
"title": "Passport",
"description": "Use WAVELINE EXTRACT to extract required information from passports, achieving precise and high-quality extraction without the need for training data."
}
Features
{
"name": "Extract all data from PDFs",
"description": "WAVELINE EXTRACT accurately extracts all data, including layout, text, tables, and images, from any PDF document."
}
{
"name": "Extract data from various formats",
"description": "WAVELINE EXTRACT supports a variety of formats, including PDFs, images, and spreadsheet files."
}
{
"name": "Customizable pricing",
"description": "WAVELINE EXTRACT provides three different pricing plans: the free STARTER plan, the popular POPULAR PRO plan, and the ENTERPRISE plan."
}
{
"name": "Local solutions",
"description": "WAVELINE EXTRACT offers local solutions to meet the diverse needs of its users."
}
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