Automation

Automate Scan Workflows

From paper to the right folder in seconds

Scanning a document is quick. What comes after is what actually takes time: renaming the file, moving it to the correct folder, adding metadata, notifying colleagues. This manual post-processing accounts for up to 80% of total processing time.

Automated scan workflows eliminate exactly this manual effort. You define rules once that determine what happens to a document after scanning — and the software handles the rest. From batch feeding through document separation and OCR recognition to filing in the correct destination folder with the right file name: everything happens automatically, in seconds rather than minutes.

This article presents the five building blocks of an automated scan workflow and illustrates them with a concrete real-world example.

The Problem: Manual Scanning Costs More Than Just Time

Why the bottleneck is not scanning itself, but what comes after

In most organisations, the scanning process looks like this: an employee places documents in the scanner, presses start, waits for the scan to finish — and then begins the actual work. Each file must be renamed individually. Each document is manually moved to the correct folder. For invoices, numbers and amounts are typed in. For contracts, client names are assigned.

The consequences of this manual process are measurable:

  • Time loss: 2 to 5 minutes of manual post-processing per document adds up to 3 to 8 hours for 100 documents per day.
  • Error rate: Typos in file names, incorrect folder assignments and missing metadata lead to search effort and compliance risks.
  • Inconsistency: Every employee names files differently. Without uniform conventions, the digital archive becomes unmanageable.
  • Media breaks: Anyone reading information from paper and typing it into a PC risks transcription errors with every single entry.

The 5 Building Blocks of an Automated Scan Workflow

How a paper stack becomes a structured digital archive

1. QR Code and Barcode Batch Separation

The first building block solves a fundamental problem: how do you split a large stack into individual documents without scanning each file separately?

The solution: separator sheets. Sheets with QR codes or barcodes are placed between the documents in the stack. The scanner captures the entire stack in one pass. The software recognises the separator sheets and automatically divides the scan into separate files.

The key advantage: QR codes can carry additional information — such as document type, client number, department or destination folder. This turns a single scan operation into the starting point for all subsequent processing.

Example: A law firm scans the daily post as a single stack of 200 pages. Separator sheets with QR codes containing the client number and document type (brief, notice, invoice) are placed between documents. After scanning, 45 separate documents are ready, each correctly named and assigned to the right client.

2. OCR-Based Metadata Extraction

Optical character recognition (OCR) makes the text in scanned documents machine-readable. But modern OCR goes far beyond simply recognising letters: it extracts structured data from the document.

In practice, this means: the software automatically recognises the invoice number, date, amount and supplier on an invoice. On a contract, it identifies the contract date, parties and term. This extracted data is stored as metadata and is available for further processing.

OCR recognition quality depends directly on scan quality. At 300 DPI resolution with good original quality, modern OCR engines achieve accuracy above 99%. Even with difficult originals — fax printouts, copies of copies or handwritten additions — current technologies deliver usable results.

3. Rule-Based Routing

Once the document type is recognised and metadata extracted, rule-based routing takes over. This determines where each document goes:

  • Invoices → Folder Accounting/Incoming-Invoices/2026/
  • Contracts → Folder Clients/[Client-Name]/Contracts/
  • HR documents → Folder HR/[Employee-Name]/
  • General post → Folder Inbox/[Department]/

Routing rules can be arbitrarily complex: by document type, by extracted content, by sender, by date, or by a combination of these criteria. In Docuflair Flow, these rules can be configured in the web-based Manager — without programming knowledge.

4. Automatic Naming

Consistent file names are the foundation of a searchable archive. Automated scan workflows generate file names according to a defined schema using metadata from the document:

  • 2026-03-17_Invoice_12345_Supplier-Ltd.pdf
  • 2026-03-17_Contract_Client-Smith.pdf
  • 2026-03-17_Application_John-Doe.pdf

The naming schema is defined once and then consistently applied to every document. No more cryptic file names like Scan_001.pdf or IMG_20260317_143052.pdf.

5. Delivery to the Target System

In the final step, the fully named and classified document is delivered to the target system. Typical destinations include:

  • Network drives: Filing within the existing folder structure
  • Cloud storage: OneDrive, SharePoint, NextCloud, Amazon S3
  • DMS systems: DocuWare, ELO, d.velop, SharePoint
  • Email: Automatic dispatch to defined recipients
  • FTP/SFTP: Transfer to external partners or systems

Docuflair Flow supports simultaneous output to multiple destinations. An invoice can be filed in the local archive, handed off to the accounting software, and sent as an email notification to the responsible clerk — all at once.

Real-World Example: The Automated Incoming Post Workflow

Step by step from paper stack to structured archive

A mid-sized company with 200 employees receives approximately 150 letters daily. Before automation, the process looked like this:

Before: The Manual Process

  1. Open and pre-sort post (30 minutes)
  2. Scan and name documents individually (3 hours)
  3. Manually move files to folders (1 hour)
  4. Internal distribution via email (30 minutes)

Total time: 5 hours per day, one full-time employee

After: The Automated Workflow

  1. Open post and insert separator sheets (20 minutes)
  2. Load entire stack into scanner and start (5 minutes)
  3. Software separates, recognises, names and distributes automatically (automatic)
  4. Spot-check quality control (15 minutes)

Total time: 40 minutes per day

Result: Daily processing time dropped from 5 hours to 40 minutes — a time saving of 87%. The freed capacity is used for value-adding activities. At the same time, the filing error rate dropped to virtually zero, as rule-based assignment eliminates careless mistakes.

Tips for Implementing Automated Scan Workflows

What to consider during planning

Start Small, Expand Gradually

Begin with a specific use case — for example, incoming invoice processing. Once this workflow runs stably and employees are satisfied with the results, expand to additional document types and departments.

Define Your Folder Structure First

Automated filing only works when destination folders are clearly defined. Invest time in a logical, future-proof folder structure before setting up routing rules.

Involve Your Team

The best workflows are created when the employees who work with documents daily are involved in planning. They know the typical document types, the exceptions and the pitfalls.

Optimise Regularly

A scan workflow is not a one-time setup. Regularly review recognition accuracy, routing rules and user satisfaction. Adapt the workflow to changing requirements — new document types, new departments, new target systems.

Automate Scan Workflows with Docuflair

Docuflair Flow and Docuflair Scan together form the foundation for fully automated scan workflows. From capture at the scanner or MFP to filing in the target system — everything from a single source. Schedule a free demo.

Frequently Asked Questions

Answers to the most important questions about automated scan workflows

What is an automated scan workflow?

An automated scan workflow defines rules that determine what happens to a document after scanning. This includes automatic batch separation, OCR text recognition, metadata extraction, rule-based naming and filing in the correct destination folder. Instead of manually renaming, sorting and filing, the software completes these steps in seconds.

How does QR code batch separation work?

With QR code batch separation, separator sheets with QR codes are placed between documents in the stack. The scanner captures the entire stack in one pass. The software recognises the QR codes and automatically splits the stack into individual documents. The QR code can also carry information such as document type, client number or destination folder.

What metadata can be automatically extracted via OCR?

Modern OCR software extracts invoice numbers, dates, amounts, names, addresses, IBAN numbers and tax numbers among other data. The extracted data is stored as metadata and can be used for automatic naming, filing and indexing of documents.

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