@thecodingwhale/cv-processor/url-1748838192850_2025-06-02/report.md

CV Processor to extract structured data from PDF resumes using TypeScript

# CV Processing Report

**CV**: url-1748838192850.pdf
**Date**: 2025-06-02
**Total Execution Time**: 53.16 seconds

## Summary

- **Total Providers**: 1
- **Successful**: 1
- **Failed**: 0
- **Success Rate**: 100.0%
- **Consensus Baseline**: Yes

## Successful Executions

| Provider | Model | Time (s) | Accuracy | Token Usage | Est. Cost | Output File |
|----------|-------|----------|----------|-------------|-----------|-------------|
| gemini | gemini-1.5-pro | 53.16 | 0% | 15160 | $0.0282 | [View](./gemini_gemini-1.5-pro_53.16s.json) |

## Performance Comparison

- **Fastest**: gemini (gemini-1.5-pro) - 53.16s
- **Slowest**: gemini (gemini-1.5-pro) - 53.16s
- **Average Time**: 53.16s


### Consensus-based Accuracy
Source: none

### Accuracy Comparison

| Provider | Model | Accuracy | Token Usage | Cost |
|----------|-------|----------|-------------|------|
| gemini | gemini-1.5-pro | 0% | 15160 | $0.0282 |

### Token Usage Comparison

| Provider | Model | Input Tokens | Output Tokens | Total Tokens | Cost |
|----------|-------|--------------|---------------|--------------|------|
| gemini | gemini-1.5-pro | 12699 | 2461 | 15160 | $0.0282 |

### Field Emptiness Comparison

| Provider | Model | Populated Fields | Total Fields | Emptiness % |
|----------|-------|-----------------|--------------|------------|
| gemini | gemini-1.5-pro | 160 | 180 | 8900.0% |

### Accuracy Details

#### gemini (gemini-1.5-pro)
- Overall Accuracy: 0%
- Completeness: 0%
- Field Emptiness: 89% (160/180 fields populated)


### Token Usage Details

#### gemini (gemini-1.5-pro)
- Input Tokens: 12699
- Output Tokens: 2461
- Total Tokens: 15160
- Estimated Cost: $0.0282


### Best Accuracy
Provider: gemini
Model: gemini-1.5-pro
Accuracy: 0%