Parseur

Parseur revolutionizes document processing with AI-powered extraction technologies, template-based PDF parsing, and advanced OCR capabilities. Our platform handles over 100 file formats including emails, invoices, and scanned documents, with features like dynamic OCR and zonal extraction for complex layouts. With comprehensive integration options and flexible pricing starting at $0 per page, Parseur turns unstructured data into structured business intelligence across multiple industries.

Core Technology and Features

Parseur's AI parsing engines offer three distinct approaches to document processing: AI-driven extraction, template-based PDF parsing with OCR, and text document processing. The platform supports over 100 file formats, including emails, PDFs, invoices, scanned documents, and web pages, with advanced OCR capabilities that can read most languages and alphabets, including handwritten text.

The core processing workflow consists of three main steps. Users upload documents directly through the app, via email, or using API integrations. The system then employs its AI engine for automated data extraction, capable of handling diverse layouts without predefined templates. For more structured documents, users can create custom extraction templates using either the AI engine's templateless approach or the template-based PDF engine, which requires manually defining data fields using OCR.

The platform also features dynamic and zonal OCR technologies to handle moving text elements and mixed document formats. All extracted data undergoes normalization for consistency before being exported to various destinations. Post-processing capabilities include integration with Python code for custom manipulations of numbers, dates, names, and addresses.

On the integration front, Parseur offers comprehensive connectivity options. Users can upload documents directly, integrate with hundreds of applications through API, webhooks, or direct exports, and leverage existing integrations with popular platforms like Zapier, Microsoft Power Automate, and Make. Data processing results can be automatically exported to Google Sheets, directly connected to Microsoft Power Automate workflows, integrated with Make applications, or sent to thousands of other supported systems.

The platform's document processing capabilities span multiple industries, with built-in templates specifically designed for food orders, real estate leads, job applications, and Google Alerts. It excels at extracting data from tables and repetitive text blocks, while automatically capturing essential metadata including document content, date of receipt, filename, and sender information. Overall, Parseur processes documents through a combination of AI-driven extraction, advanced OCR technologies, and flexible template-based approaches to convert unstructured documents into structured data for business applications.

Document Processing Capabilities

The platform supports over 100 file formats including structured emails, text-based and image-based PDFs, and various spreadsheet formats. It excels at handling complex layouts with advanced OCR technologies that can read most languages and alphabets, including handwritten text. Parseur's Optical Character Recognition (OCR) engine enables extraction from diverse document types, from invoices and real estate leads to Google Alerts.

The software offers versatile processing options through AI-driven extraction, dynamic and zonal OCR, and template-based approaches. Users can upload directly, integrate via API, or leverage existing connections with popular platforms through Zapier, Microsoft Power Automate, and Make. Post-processing capabilities include direct export to Google Sheets and integration with Microsoft Power Automate workflows, with the system processing documents into structured data feeds for various business applications.

The platform handles multiple document types effectively, with built-in templates particularly useful for food orders, real estate leads, job applications, and Google Alerts. It automatically captures essential metadata including document content, date of receipt, filename, and sender information, while also extracting data from tables and repetitive text blocks. The document processing workflow includes AI-based extraction, dynamic OCR for moving elements, and zonal OCR for structured data capture, all supporting diverse layouts without predefined templates.

Pricing and Usage Model

The platform offers four main pricing tiers, beginning with a free plan that handles up to 20 pages per month, supporting multiple mailboxes and all extracted fields through both AI parsing and template parsing engines. The basic paid subscription starts at $0 per page for up to 3,000 monthly pages, with larger enterprise plans available for processing up to 10 million pages per month.

Pricing is based on a credit model, where one credit equals one page processed, and unused credits expire at the end of each billing period. Monthly and yearly self-service plans are both available, with payments typically made via credit card, though the company also accepts bank wire and Purchase Orders. The platform processes documents almost instantly and provides full control over the retention period, starting at 90 days in the free tier and extending indefinitely in the enterprise plan.

For high-volume processing, the company structures its pricing on a page-by-page basis, offering discounts for prepaid annual subscriptions. The platform includes detailed security features, with data stored in the European Union under redundant power systems and subjected to annual independent security audits. Full data ownership rights are maintained by users, who can track processing progress, update templates, and manage their accounts through comprehensive API access.

Integration and Connectivity

Parseur's integration ecosystem enables users to connect the platform with over 1,000 applications through its comprehensive API, webhooks, and direct export functionality. The system supports multiple integration types, including direct document upload, Zapier integration for app-to-app data transfer, Power Automate compatibility for the Microsoft ecosystem, and Make (formerly Integromat) connectivity. For programmatic access, the platform offers API options for submitting text, HTML, or binary documents.

A key technical component of the integration framework is the company's AI builder technology, which allows users to add artificial intelligence capabilities to their applications through a point-and-click interface. This tool enables organizations to create customized AI solutions tailored to their specific workflows without requiring programming expertise. The platform's architecture also leverages advanced Optical Character Recognition (OCR) technology, with both standard OCR capabilities and specialized zonal OCR for structured data capture. This combination of AI and OCR enables the software to handle complex document layouts, recognize text from most languages and alphabets including handwritten content, and extract data from various document types including invoices, bank statements, and resumes.

The document processing workflow incorporates multiple layers of automation, starting with the ability to process thousands of documents per minute at high volume. Users can initiate the process by uploading documents directly through the application, sending attachments via email, or integrating through the platform's API. Once uploaded, documents undergo AI-based extraction using parsing engines capable of handling diverse layouts without requiring predefined templates. For more structured document types, users have the option to create custom extraction templates using either the AI engine's templateless approach or the template-based PDF engine, which requires manually defining data fields using OCR technology. The system then applies advanced normalization techniques to ensure consistency across extracted data, with post-processing capabilities including direct export to Google Sheets and integration with Microsoft Power Automate workflows. Overall, the integration and connectivity framework enables Parseur to function as a comprehensive solution for automated business processes across multiple industries.

Company Background and Development

Parseur was founded in December 2016 by Sylvestre Dupont and Sylvain Josserand, with operations initially based in France. The company quickly expanded its platform capabilities, introducing its first comprehensive version in June 2017.

The platform's technical foundations were established through a series of iterative releases: version 0 in December 2016 marked the company's first public release, followed by version 1 in September 2017, which expanded support to include email attachments and basic document processing. Significant milestones included version 2 in October 2018, which introduced table field parsing and integration capabilities for webhooks and Power Automate, and version 3 in September 2021, which featured a redesigned user interface.

Technical capabilities evolved through several specialized engines: the AI engine automatically adapts to document layouts, while the template-based PDF engine uses OCR technology to require users to manually define data fields. The company's OCR capabilities include both standard OCR technology and specialized zonal OCR for structured data capture, allowing recognition of text from most languages and alphabets, including handwritten content.

The company's growth has been supported by strategic expansions into new markets: in April 2020, Parseur established its headquarters in Singapore to serve the Asian market, followed by the October 2023 release of Parseur v5, which introduced advanced AI parsing capabilities. Revenue growth has been enabled by flexible pricing structures, with the platform offering a free tier that supports up to 20 pages per month while allowing full access to AI parsing and template parsing engines.

In parallel with technological development, the company has built a strong ecosystem of integrations. By October 2023, Parseur supported over 1,000 applications through its API and webhook capabilities, with integration options including direct document upload, Zapier for app-to-app data transfer, Power Automate for the Microsoft ecosystem, and Make integration. The platform's technology stack also includes Advanced Optical Character Recognition (OCR) capabilities, with both standard OCR functionality and specialized zonal OCR designed to handle complex document layouts and multiple languages. The company maintains a robust security framework, storing data in the European Union under redundant power systems and subjecting it to annual independent security audits.