Automate data extraction from PDFs, invoices, and documents with AI and seamless integrations.
DigiParser, a document automation platform, announced the launch of its AI-powered solution designed to extract structured data from PDFs, invoices, and other business documents without manual effort.
Businesses across industries still rely on manual data entry from documents such as invoices, purchase orders, and receipts. This process is time-consuming, error-prone, and difficult to scale. DigiParser aims to eliminate this bottleneck by enabling users to automatically extract and process data with high accuracy.
The platform uses advanced AI and OCR technology to identify key fields and convert unstructured documents into structured formats like Excel, CSV, or JSON. Users can define custom parsing rules, validate extracted data, and automate workflows without writing code.
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DigiParser also supports integrations with tools like Zapier, allowing businesses to automatically send extracted data to CRMs, databases, or accounting software. This makes it easy to build end-to-end automation workflows for document processing.
“Many businesses still spend hours manually entering data from PDFs. We built DigiParser to remove that friction and make document automation accessible to everyone,” said the founder of DigiParser.
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Key features of DigiParser include:
AI-powered PDF to Excel and data extraction
Custom document parsers for invoices, receipts, and forms
Automatic data export to CSV, Excel, and APIs
Workflow automation via Zapier integrations
No-code setup with a self-serve interface
DigiParser is designed for startups, small businesses, and teams looking to automate repetitive document workflows without investing in complex enterprise tools.
The platform offers a free plan that allows users to get started quickly, with paid plans unlocking higher usage and advanced features.
