Use Case: Going Paperless

Finally go paperless — for real

Whether you're a small business with boxes of old files or an enterprise with millions of archived documents, PaperAI makes the transition to digital practical. Upload your backlog, set up your settings, and let AI do the heavy lifting.

The Problem

Going paperless has been a business goal for decades, but for most organizations it remains aspirational. The challenge isn't creating new digital documents — it's dealing with the existing backlog. Filing cabinets, storage rooms, and off-site warehouses hold years or decades of paper records that are too expensive to transcribe manually but too important to discard.

PaperAI makes going paperless practical by dramatically reducing the per-document cost of digitization. Instead of hiring temps or outsourcing to document scanning services that charge $0.05–0.20 per page for scanning plus $2–5 per page for data entry, PaperAI handles both conversion and extraction at a fraction of the cost. The key insight: AI has made the expensive part (reading and structuring the content) affordable, turning a multi-year digitization project into a multi-week effort.

Common Pain Points
  • Paper backlog is too large and expensive to transcribe manually
  • Document scanning services are slow and expensive at scale
  • Existing digital copies (scanned PDFs) aren't searchable or structured
  • Multiple document types require different processing approaches
  • Going paperless initiative has stalled due to cost and complexity
How PaperAI Fits Your Workflow
1

Inventory your backlog

Survey your paper records to identify document types, volumes, and priorities. Start with high-value or frequently accessed documents.

2

Scan or photograph

Use a document scanner for large batches or a smartphone camera for smaller volumes. PaperAI handles any image quality — though higher quality inputs produce better results.

3

Set up settings per document type

Set up settings for each category: invoices, contracts, HR files, correspondence. Choose what details to pull out if you need organized data alongside the digital conversion.

4

Batch process your backlog

Upload documents in large batches. PaperAI processes them using your saved settings, converting and extracting at scale.

5

Review, approve, archive

Review converted documents, approve accurate conversions, and organize them into your new digital filing system. Discard or archive paper originals per your retention policy.

What PaperAI Extracts

PaperAI automatically pulls out these details from your documents, organized and ready to use:

FieldTypeExample
Document TitlestringEmployee Handbook v3.2
Document TypeenumPolicy Manual
Datedate2018-03-01
DepartmentstringHuman Resources
Pagesnumber47
ConfidentialityenumInternal
Retention Periodstring7 years
Source FormatenumScanned PDF
ROI & Impact

0% cost reduction

AI-powered digitization costs a fraction of manual transcription or traditional OCR services with human correction.

Weeks, not years

Process your entire paper backlog in weeks with batch AI processing instead of a multi-year manual project.

Instant searchability

Every digitized document becomes full-text searchable — find any document in seconds instead of digging through filing cabinets.

Sample Extraction Output

Every document is converted to clean, readable text and organized data you can use in other tools. Here's an example of what PaperAI produces for a typical going paperless document:

Sample Output for: Going Paperless

## Employee Handbook v3.2

**Department:** Human Resources
**Date:** March 1, 2018
**Classification:** Internal

### Table of Contents
1. Company Overview
2. Employment Policies
3. Benefits & Compensation
4. Code of Conduct
5. Safety & Compliance

### Section 2 — Employment Policies

**2.1 At-Will Employment**
All employment with the Company is at-will. Either the employee or the Company may terminate the employment relationship at any time, with or without cause.

**2.2 Equal Opportunity**
The Company is committed to equal employment opportunity...
Who Uses This

Any organization with paper documents they need digitized

Operations managersOffice managersIT directorsRecords managersCFOs looking to reduce storage costs

Further Reading

Related Use Cases

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