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Splitter Module for Open-Capture

Bulk scanning and intelligent preparation of document batches

The Splitter module for Open-Capture is dedicated to bulk scanning, document organization and batch preparation before extraction. It facilitates automatic separation, document classification and metadata enrichment to make processing faster and more reliable.

For companies, professionals, town halls and local authorities...
Open-Capture Splitter module interface showing document batch preparation, with automatic separation, document typing, metadata and batch validation.
Published by Edissyum, expert in ECM, document management and BPM

Prepare document batches before extraction

The Splitter module for Open-Capture is designed for bulk scanning and document batch preparation. It helps organize files before processing, automatically separate documents and enrich metadata to make extraction more reliable. Thanks to classification and machine-learning features, Splitter identifies document types, simplifies sorting and improves capture and IDR workflows.

Bulk scanning

Prepares large volumes of documents for more structured and efficient processing.

Batch preparation

Organizes documents before extraction, with batch, page and metadata management.

Image verification

Makes it possible to quickly review scanned images using thumbnails, zoom and correction tools.

Intelligent classification

Automatically identifies the document type to simplify sorting and indexing.

Automatic separation

Splits batches according to visual criteria, document breaks or QR codes.

Metadata enrichment

Adds document typing and useful information for downstream processing.

Tools to organize and prepare documents

Splitter provides several functions to structure document batches before extraction and improve the quality of document processing.

  • Tools to organize and prepare documents
  • Image straightening
  • Document reorganization
  • Batch creation and deletion
  • Document typing
  • Metadata enrichment
Intelligent document classification

Thanks to machine-learning functions, Open-Capture Splitter automatically recognizes the document type being processed. This classification improves sorting, separation and indexing of batches while optimizing IDR workflows.

A module designed for high-volume document workflows

Splitter makes it easier to prepare documents before extraction, reduces manual handling and improves processing quality for bulk scanning workflows.