# OCR Cost Analysis

**Last Updated:** 2026-01-20

## Executive Summary

This document analyzes the cost implications of different OCR approaches:
- **Google Cloud Vision API** (current implementation)
- **OpenAI GPT-4 Vision API** (potential integration)
- **Hybrid approaches** (combining both)

## Google Vision API Costs

### Current Pricing (as of 2026)

- **Document Text Detection:** $1.50 per 1,000 images (first 1,000/month free)
- **Per-card cost:** ~$0.0015 per card
- **After free tier:** ~$0.0015 per card

### Monthly Cost Estimates

| Cards/Month | Cost (after free tier) |
|-------------|------------------------|
| 100 | $0.15 |
| 500 | $0.75 |
| 1,000 | $1.50 |
| 5,000 | $7.50 |
| 10,000 | $15.00 |

### Annual Cost Estimates

| Cards/Year | Annual Cost |
|------------|-------------|
| 1,200 | $1.80 |
| 6,000 | $9.00 |
| 12,000 | $18.00 |
| 60,000 | $90.00 |
| 120,000 | $180.00 |

## OpenAI GPT-4 Vision API Costs

### Current Pricing (as of 2026)

- **GPT-4o (recommended for OCR):** ~$0.01 per image (varies by resolution)
- **GPT-4 Vision:** ~$0.01-0.03 per image
- **Per-card cost:** ~$0.01-0.03 per card

### Monthly Cost Estimates

| Cards/Month | Cost (GPT-4o) |
|-------------|---------------|
| 100 | $1.00 |
| 500 | $5.00 |
| 1,000 | $10.00 |
| 5,000 | $50.00 |
| 10,000 | $100.00 |

### Annual Cost Estimates

| Cards/Year | Annual Cost |
|------------|-------------|
| 1,200 | $12.00 |
| 6,000 | $60.00 |
| 12,000 | $120.00 |
| 60,000 | $600.00 |
| 120,000 | $1,200.00 |

## Cost Comparison

### Cost Per Card

| Approach | Cost Per Card | Cost Multiplier |
|----------|---------------|-----------------|
| Google Vision API | $0.0015 | 1x (baseline) |
| OpenAI GPT-4o | $0.01 | 6.7x |
| OpenAI GPT-4 Vision | $0.01-0.03 | 6.7x-20x |

### Monthly Cost Comparison (1,000 cards)

| Approach | Monthly Cost | Annual Cost |
|----------|--------------|-------------|
| Google Vision Only | $1.50 | $18.00 |
| OpenAI GPT-4o Only | $10.00 | $120.00 |
| Hybrid (10% OpenAI) | $2.50 | $30.00 |
| Hybrid (50% OpenAI) | $5.75 | $69.00 |

## Hybrid Architecture Cost Analysis

### Option A: Selective Hybrid (Recommended)

**Strategy:** Use Google Vision for all cards, route difficult cases (low confidence, complex layouts) to OpenAI.

**Assumptions:**
- 90% of cards use Google Vision only
- 10% of cards use OpenAI (difficult cases)
- Average cost per card: (0.9 × $0.0015) + (0.1 × $0.01) = $0.00235

**Monthly Cost (1,000 cards):** $2.35
**Annual Cost:** $28.20

**Accuracy Improvement:** +2-5% over Google-only

### Option B: Full Hybrid

**Strategy:** Always use both OCR and OpenAI, merge results intelligently.

**Assumptions:**
- 100% of cards use both APIs
- Average cost per card: $0.0015 + $0.01 = $0.0115

**Monthly Cost (1,000 cards):** $11.50
**Annual Cost:** $138.00

**Accuracy Improvement:** +5-10% over Google-only

### Option C: OpenAI Fallback Only

**Strategy:** Use Google Vision first, only call OpenAI if confidence < threshold.

**Assumptions:**
- 95% of cards use Google Vision only
- 5% of cards use OpenAI (low confidence)
- Average cost per card: (0.95 × $0.0015) + (0.05 × $0.01) = $0.001925

**Monthly Cost (1,000 cards):** $1.93
**Annual Cost:** $23.16

**Accuracy Improvement:** +1-3% over Google-only

## ROI Analysis

### Accuracy Improvement vs Cost

| Approach | Cost Increase | Accuracy Gain | Cost per % Accuracy |
|----------|---------------|---------------|---------------------|
| Google Vision Only | Baseline | Baseline (95-99%) | - |
| Selective Hybrid | +57% | +2-5% | $0.47-1.18 per % |
| Full Hybrid | +667% | +5-10% | $1.20-2.40 per % |
| OpenAI Fallback | +29% | +1-3% | $0.48-1.44 per % |

### Break-Even Analysis

**Question:** When is accuracy gain worth the cost increase?

**Answer:** Depends on:
1. **Volume:** Higher volume = lower cost per card
2. **Accuracy Requirements:** If 99%+ accuracy is required, hybrid may be justified
3. **Error Cost:** Cost of manual correction vs. API cost

**Example:** If manual correction costs $0.10 per error:
- Google Vision: 5% error rate = $0.005 per card error cost
- Selective Hybrid: 3% error rate = $0.003 per card error cost
- Savings: $0.002 per card
- Additional API cost: $0.00085 per card
- **Net benefit:** $0.00115 per card (positive ROI)

## Recommendations

### For Low Volume (< 1,000 cards/month)

**Recommendation:** Google Vision API only
- Cost: $1.50/month
- Accuracy: 95-99% (sufficient for most use cases)
- ROI: Best cost-effectiveness

### For Medium Volume (1,000-10,000 cards/month)

**Recommendation:** Selective Hybrid (Option A)
- Cost: $2.35-23.50/month
- Accuracy: 97-99.5%
- ROI: Good balance of cost and accuracy

### For High Volume (> 10,000 cards/month)

**Recommendation:** Google Vision with preprocessing optimizations
- Cost: $15+/month (same API cost)
- Accuracy: 97-99.5% (with preprocessing improvements)
- ROI: Best cost-effectiveness at scale

### For Very High Accuracy Requirements (99%+)

**Recommendation:** Selective Hybrid or Full Hybrid
- Cost: $2.35-11.50/month (1,000 cards)
- Accuracy: 99-99.5%
- ROI: Justified if error cost > API cost

## Cost Optimization Strategies

1. **Image Preprocessing:** Improve accuracy without API cost increase
2. **Selective Routing:** Only use OpenAI for difficult cases
3. **Caching:** Cache OCR results for duplicate images
4. **Batch Processing:** Process multiple cards in single API call (if supported)
5. **Volume Discounts:** Negotiate volume discounts with providers

## Monitoring & Budgeting

### Recommended Budget Limits

- **Monthly Budget:** $5-10 for 1,000-5,000 cards/month
- **Alert Threshold:** 80% of monthly budget
- **Hard Limit:** 120% of monthly budget (auto-disable OpenAI)

### Cost Tracking

Track costs by:
- API provider (Google vs OpenAI)
- Card volume
- Accuracy metrics
- Error correction costs

## Next Steps

1. **Implement Selective Hybrid** (if accuracy requirements justify)
2. **Monitor costs** for first month
3. **Adjust routing logic** based on cost/accuracy data
4. **Set up budget alerts**
5. **Review quarterly** for optimization opportunities