Receipt
Transform your receipt processing with Extracta.ai’s cutting-edge document parsing capabilities. Our API is designed to automate the extraction of data from receipts, ideal for retailers, financial institutions, and any business that needs to analyze purchase data efficiently. This page guides you through using our API for receipt parsing, featuring a pre-configured request body template for immediate use.
Why Extracta.ai for Receipt Parsing?
Streamline Financial Workflows: Automate the capture and analysis of receipt data to speed up accounting processes and financial reporting.
Enhanced Accuracy: Benefit from high precision OCR and data parsing technology that minimizes errors in financial analysis.
Custom Data Extraction: Extract only the data you need, from transaction dates and amounts to item descriptions and merchant information.
Getting Started
To extract data from receipts using Extracta.ai, you will need to send a POST
request to our /createExtraction
endpoint with a specific request body designed for receipt data. Below, we provide a template that includes predefined keys for common receipt information fields.
Body Example for Receipt
Utilizing the Template
Obtain an API Key: First, ensure you have an API key by registering at https://app.extracta.ai and creating your key on the
/api
page.Execute the API Request: Incorporate the JSON template in your
POST
request to/createExtraction
, including your API key in the header for authentication.Integrate Extracted Data: The API will process your receipt and return detailed, structured data, ready to be integrated into your financial systems or applications.
Code Example
Leveraging Receipt Data
With Extracta.ai, you can unlock the potential of your receipt data, automating and refining financial processes with our advanced parsing technology. This not only saves time but also provides accurate, actionable insights from your transactional documents.
For more information on how to integrate Extracta.ai into your workflows, refer to our detailed API Endpoints and 1. Create extraction pages.
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