Parseur is an AI data extraction software designed to automate the process of extracting text from various document types, including PDFs, emails, and scanned documents. It leverages AI-based data extraction, template-based extraction, and OCR technology to convert unstructured data into structured data that can be easily integrated with other applications.
Key Features:
- AI-Based Data Extraction: Uses artificial intelligence to parse documents and suggest fields to extract, adapting to layout changes.
- Template-Based Data Extraction: Allows users to create templates for structured documents, ensuring deterministic results.
- OCR Software: Provides fast and accurate character recognition for scanned documents and images.
- Zonal OCR: Enables users to define specific zones within a document for data extraction.
- Dynamic OCR: Extracts fields that move or change size within documents.
- Integration Capabilities: Connects with Zapier, Make, Power Automate, and other platforms to push extracted data in real-time.
- API Access: Offers a REST API for programmatic document parsing and integration with custom applications.
Use Cases:
- Email Parsing: Extract data from emails and attachments, such as order confirmations, invoices, and leads.
- PDF Parsing: Convert PDF documents into structured data for analysis and reporting.
- Invoice Processing: Automate invoice data extraction for accounts payable automation.
- Logistics Automation: Extract data from bills of lading and delivery notes.
- Human Resources: Process resumes and extract candidate information for applicant tracking systems (ATS).
