Google Document AI - Extract data from receipts / invoice / PDFs with no code using Vertex AI
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Google Document AI - Extract data from receipts / invoice / PDFs with no code using Vertex AI
In this article, we will walk through building a powerful expense parser using the latest AI technologies. By leveraging Google's Document AI and RowE for managing the backend, we can extract structured data such as total costs, supplier name, and purchase date from uploaded receipts with ease.
To start, we enable the Document AI API in our Google Cloud project and create an expense processor to obtain the necessary Project ID and Processor ID. Granting permissions to use Document AI in RowE functions is essential for seamless integration. Once the Cloud functions are deployed, we can verify the setup by uploading a sample receipt and observing the parsed data.
The article delves into the functionality of derivatives in RowE, showcasing how they extract relevant information from the parsed data. By utilizing the Document AI npm package and Google's AI capabilities, we can ensure high accuracy in processing expense-related documents. Data extracted from receipts is securely stored in Firestore, ensuring complete data ownership.
With this guide, you can build an expense parser effortlessly, extend its capabilities to work with various document types, and automate document processing workflows. By integrating RowE with existing projects or no-code app builders, such as FlutterFlow, you can streamline data extraction processes seamlessly.
Keywords:
Expense Parser, Google Document AI API, RowE Platform, Cloud Functions, Data Extraction, Document Processing, AI Technologies, Firebase, Vertex AI, Structured Data Extraction, No-Code Development.
FAQ:
- How does the expense parser extract data from receipts?
The expense parser utilizes Google's Document AI API to parse uploaded receipts and extract structured data such as total costs, supplier names, and purchase dates with the help of derivatives in RowE.
- What permissions are required to use Document AI in RowE functions?
To use Document AI in RowE functions, users need to grant access by adding the Document AI Administrator role to the RowE service account in the Google Cloud console.
- Where is the extracted data stored securely?
The data extracted from receipts is securely stored in Firestore under the table name defined in RowE, ensuring complete data ownership and confidentiality for users.