What is Waveline Extract?
Dealing with unstructured data locked away in documents like PDFs, images, or even plain text can significantly slow down your application development and workflows. Manually extracting this information or building custom parsing logic for every document variation is often time-consuming and prone to errors. Waveline Extract offers a developer-focused API solution, leveraging powerful AI to turn messy documents into structured JSON data, quickly and reliably.
Forget the complexities of training custom models. Waveline Extract is designed to understand diverse document layouts out-of-the-box, allowing you to integrate intelligent data extraction into your applications with simple API calls.
Key Capabilities
Define Your Data Needs (
extract-document): Specify exactly what information you need using a simple JSON "Shape" definition. Provide the document (text, PDF, image file) and your Shape, and the API returns the extracted data neatly structured in JSON format. This gives you precise control over the output.💡 Discover Potential Data (
guess-shape): Unsure what data a document contains or need a starting point for your Shape? Send the document to theguess-shapeendpoint. The API analyzes the content and suggests a potential Shape, identifying key information fields you might want to extract.📄 Process Diverse Formats: Seamlessly handle various input types including PDFs (even complex layouts and tables using
raw-extractmode), common image formats (like JPG, PNG), and plain text. Upload files directly or pass text content through the API.🧠 AI-Powered, No Training Required: Built on advanced Large Language Models (LLMs), Waveline Extract understands context and layout nuances without needing you to provide labeled training examples. We manage the complexities of LLMs (like potential inconsistencies or formatting issues) behind the scenes, delivering reliable results through the API.
⚙️ Flexible Integration: As an API-first service, Waveline Extract is built for easy integration into your existing applications, backend systems, or automation workflows.
How Developers Use Waveline Extract
Automating Invoice Processing: Your application receives PDF invoices via email or user upload. You call the
extract-documentAPI endpoint with the PDF file and a pre-defined Shape specifying fields likeinvoice_number,vendor_name,due_date,line_items, andtotal_amount. The API returns structured JSON, ready to be fed into your accounting system or database, eliminating manual data entry.Digitizing Logistics Documents: A logistics platform needs data from scanned packing slips or bills of lading. Using the API, developers upload the image files and request extraction of
part_number,quantity,lot_code, andshipping_date. Waveline Extract returns the data, enabling automated inventory updates or shipment tracking.Enhancing User Profile Creation: In a compliance application, users upload qualification certificates (PDFs or images). The
extract-documentAPI automatically pulls key information likecertificate_name,issuing_body,issue_date, andexpiry_date, pre-filling profile fields and streamlining the onboarding process.
Get Structured Data Effortlessly
Waveline Extract provides a robust, scalable way to unlock valuable data trapped in documents. By handling the complexities of data extraction through a straightforward API, it allows you to focus on building core application features rather than dealing with messy document parsing. Integrate intelligent data extraction today and streamline your workflows.
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