Parseur

Extract structured data from documents by visually clicking on fields within a document preview, creating extraction rules without writing code. The system learns field locations and patterns from user selections.

Automatically recognize and extract text from scanned documents, PDFs, and images including both printed and handwritten text. Converts unstructured visual content into machine-readable text.

Save extraction templates for reuse across multiple documents and maintain version history of template changes. Allows teams to build a library of templates for different document types and update them without losing previous versions.

Process up to 1,000 documents per month on the free tier, allowing users to test and validate extraction workflows before committing to paid plans. Includes full feature access with volume limitations.

Extract data from documents in multiple languages, with OCR and field recognition adapted for non-English text. Supports language detection and language-specific processing rules.

Process multiple documents in bulk using the same extraction template, automatically applying learned patterns across hundreds or thousands of similar documents. Handles queue-based processing with progress tracking.

Automatically extract data from documents attached to emails, parsing attachments and routing extracted data to downstream systems. Integrates with email workflows to eliminate manual download-and-process steps.

Extract structured data from documents containing multiple tables or complex layouts with varying field positions. Handles documents with repeating sections, nested tables, and non-standard formatting.

Connect Parseur to hundreds of downstream applications via Zapier and Make (formerly Integromat), enabling automated workflows that trigger actions in other tools based on extracted data. Supports conditional logic and multi-step automations.

Automatically export extracted data directly to Google Sheets, creating new rows or updating existing sheets in real-time as documents are processed. Eliminates manual copy-paste and spreadsheet management.

Push extracted data directly into Salesforce records, creating or updating leads, accounts, and opportunities based on parsed document content. Maintains field mapping between document data and Salesforce objects.

Distinguish between and accurately extract both handwritten and printed text from the same document, applying appropriate OCR models for each text type. Handles mixed documents with signatures, annotations, and typed content.

Automatically detect when document quality is too low for accurate extraction and flag for manual review or retry with enhanced processing. Provides confidence scores for extracted fields.