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Parseur

AI data extraction platform converting emails, PDFs, and documents into structured data with three extraction engines and 100+ million documents processed.

Parseur

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.

In August 2025, Parseur shifted toward an API-first approach with the release of parseur-py version 1.2.0 to the Python Package Index, providing developers with programmatic management of mailboxes, documents, uploads, and real-time webhook integrations. This developer-centric strategy expanded in early 2026 when Parseur was recognized as a key player in the $2.43 billion RFP response automation AI market, projected to grow at 21.7% CAGR through 2029.

In January 2026, Parseur established thought leadership by surveying 500 U.S. executives, revealing that while 88% express confidence in their data accuracy, the same percentage report discovering errors in document-derived data, with 69% experiencing frequent mistakes. This research positioned the company to address data resilience challenges as enterprises scale AI implementations.

Key Features

  • AI Engine: Automatic field extraction by specifying desired data points
  • Zonal OCR: Template-based extraction using visual box placement for consistent layouts
  • Text Parsing: Rule-based extraction for structured emails and HTML
  • Python SDK: Comprehensive API client with CLI for programmatic document processing management
  • Real-Time Webhooks: Automated triggers for document processing completion events
  • Multi-Format Support: Emails, native PDFs, scanned PDFs, spreadsheets, text files, HTML, images
  • OCR with Handwriting Recognition: Processing across multiple languages and scripts

Use Cases

Invoice Processing

Automated extraction of invoice numbers, line items, totals, and due dates from supplier invoices forwarded to Parseur, with structured data sent to accounting systems via webhooks or spreadsheet integrations.

Lead Generation from Emails

Sales teams extract prospect information from inquiry emails and contact forms, capturing names, companies, phone numbers, and requirements for CRM integration through Zapier or direct API.

RFP Response Automation

Enterprise proposal management workflows leveraging Parseur's document parsing capabilities for RFP processing, addressing the growing market for AI-powered proposal automation solutions.

Technical Specifications

Feature Specification
Extraction Engines AI engine, Zonal OCR, text parsing
SDK Python 3.8+ with CLI and webhook management
Supported Formats Emails, PDFs (native/scanned), images, spreadsheets, text files, HTML
OCR Capabilities Multi-language, handwriting recognition
Documents Processed 100+ million (as of 2025)
Integrations Google Sheets, Zapier, Microsoft Power Automate, Make, webhooks
API Custom application integration via webhooks and Python SDK

Resources

Company Information

Headquarters: Singapore (160 Robinson Road #14-04)

Founded: 2016