Simple Pricing for Document Tools: Why Per-Page Billing is Dead
Per-page pricing for document extraction creates anxiety and unpredictable bills. Here's why flat monthly pricing is better for everyone.

TL;DR:
- Per-page pricing creates anxiety. You second-guess every upload
- Document volume fluctuates monthly, making per-page bills unpredictable
- Processing a page costs fractions of a cent in compute; per-page models are a legacy structure
- Flat monthly pricing means predictable budgets, full team adoption, and easy ROI math
- Siftly's free tier includes 20 extractions/month with no per-page charges
The Problem With Per-Page Pricing
Most document extraction tools charge per page. It sounds fair on the surface, but in practice it creates problems nobody talks about.
The anxiety factor. Every document upload feels like it's costing you money. You start second-guessing whether to process a document or just type it in manually. A 10-page invoice at $0.10-0.25 per page means $1-2.50 per document, and you're watching dollars tick up in real time.
The unpredictability. In December you might process 50 pages. In February (hello, tax season) you might process 500. Budgeting becomes a guessing game.
How to Evaluate Pricing Models
1. Check the per-page rate at your actual volume. Many tools advertise a low per-page rate that assumes high volume. Calculate your actual monthly cost based on how many pages you process.
2. Factor in multi-page documents. A single 10-page invoice shouldn't feel expensive to process. If the tool charges per page, it will.
3. Look for flat monthly plans. Siftly offers monthly plans with clear page limits; the free tier includes 20 extractions per month, paid plans offer 100 or 1,000 extractions at a flat rate.
4. Consider the psychology. Per-page pricing makes you hesitant to use the tool. Flat pricing changes the mindset to "I have pages included, let me use them."
Your document extraction tool should make your life easier, not add billing anxiety to your day.

Siftly Team
Building tools that turn messy documents into clean, structured data. We write about document automation, data extraction, and smarter workflows for small businesses.
