Procys

Automatically extracts structured data from invoice documents including line items, amounts, dates, vendor information, and payment terms. Processes PDFs, scanned images, and email attachments with built-in OCR to convert unstructured invoice data into machine-readable fields.

Identifies and extracts key contract fields such as parties, dates, payment terms, renewal clauses, and obligations from contract documents. Uses AI to understand contract structure and automatically populate relevant data fields without manual review.

Provides pre-built workflow templates for common document processing scenarios like invoice processing, contract extraction, and expense reports. Users can customize templates or use as-is to accelerate setup.

Provides visibility into document processing metrics including volume processed, success rates, processing times, and error rates. Displays real-time and historical analytics to monitor workflow performance.

Manages documents that require human review due to validation failures, low confidence extractions, or complex scenarios. Provides interface for reviewers to validate and correct extracted data before final processing.

Provides free tier with meaningful document processing limits allowing teams to test workflows and validate ROI before committing to paid plans. Quota resets monthly and includes core automation features.

Provides a visual, no-code interface for designing document processing workflows by connecting input sources, processing steps, and output destinations. Users can create complex automation without writing code by dragging workflow components and configuring them through UI.

Accepts documents in multiple formats including PDFs, scanned images, and email attachments as input sources. Automatically detects format and routes to appropriate processing pipeline with built-in OCR for image-based documents.

Automatically identifies and maps extracted data fields to predefined or custom output schemas. Uses AI to understand document context and intelligently assign extracted values to correct fields even when document layout varies.

Monitors email inboxes and automatically captures document attachments for processing. Extracts documents from emails and routes them through configured workflows without manual intervention.

Converts scanned images and PDFs into machine-readable text using optical character recognition. Handles various document types, languages, and image qualities to extract text content for further processing.

Routes processed document data to multiple destination systems including databases, spreadsheets, APIs, and business applications. Supports conditional routing based on document type or extracted values.

Applies configurable validation rules to extracted data to ensure quality and completeness. Flags documents that fail validation for manual review and can enforce required fields or data format constraints.

Processes multiple documents in batch mode, applying the same workflow to hundreds or thousands of documents efficiently. Handles bulk uploads and schedules processing to optimize resource usage.