Parseur
Parseur is an AI data extraction platform converting emails, PDFs, and documents into structured data with three extraction engines and 100+ million documents processed.
Overview
Parseur provides AI-powered data extraction from emails, PDFs, images, spreadsheets, text files, and HTML documents. Founded in 2016 and headquartered in Singapore, the platform offers three extraction engines: AI-driven field extraction, Zonal OCR for template-based capture, and text parsing for structured content. Parseur supports OCR across multiple languages and scripts including handwriting. The platform has processed over 100 million documents and integrates with Google Sheets, Zapier, Microsoft Power Automate, Make, and custom applications via webhooks. Customers report saving approximately 167 hours of manual data entry per user.
Key Features
- AI Engine: Automatic field extraction by specifying desired data points (invoice numbers, totals, dates)
- Zonal OCR: Template-based extraction using visual box placement for consistent document layouts
- Text Parsing: Rule-based extraction for structured emails and HTML with deterministic results
- Multi-Format Support: Emails, native PDFs, scanned PDFs, spreadsheets, text files, HTML pages, images
- OCR with Handwriting Recognition: Processing across multiple languages and scripts including handwritten text
- Real-Time Integrations: Direct data sending to Google Sheets, Zapier, Power Automate, Make, webhooks
- Email Parser: Automated extraction from incoming emails and attachments
Use Cases
Invoice Processing
Companies automate invoice data entry by forwarding supplier invoices to Parseur. The AI engine extracts invoice numbers, line items, totals, and due dates from various formats and layouts, then sends structured data to accounting systems via webhooks or spreadsheet integrations for payment processing.
Lead Generation from Emails
Sales teams use Parseur's email parser to extract prospect information from inquiry emails and contact forms. The platform captures names, companies, phone numbers, and requirements from inbound messages, routing structured data to CRM systems through Zapier or direct API integration.
Order Processing
E-commerce businesses automate order confirmation processing by parsing customer order emails. The text parsing engine extracts order numbers, product details, shipping addresses, and payment information, feeding data to fulfillment systems and spreadsheets for inventory management.
Technical Specifications
| Feature | Specification |
|---|---|
| Extraction Engines | AI engine, Zonal OCR, text parsing |
| Supported Formats | Emails, PDFs (native/scanned), images, spreadsheets, text files, HTML |
| OCR Capabilities | Multi-language, handwriting recognition |
| Documents Processed | 100+ million (as of 2025) |
| Time Savings | ~167 hours per customer |
| Integrations | Google Sheets, Zapier, Microsoft Power Automate, Make, webhooks |
| API | Custom application integration via webhooks |
Resources
Company Information
Headquarters: Singapore (160 Robinson Road #14-04)
Founded: 2016
