2026 Independent Benchmark Study
Global OCR Accuracy & Speed Benchmarks
Empirical testing results comparing FastOCR AI neural models against Tesseract 5.0, Google Cloud Vision API, and Amazon Textract across 100+ language scripts and complex layouts.
< 2 mins
Average Processing Latency
99.2%
Latin Script Accuracy
95.3%
Complex RTL Script Accuracy
Script-by-Script Character Recognition Accuracy
| Language / Script Category | FastOCR | Google Vision | AWS Textract | Tesseract 5.0 |
|---|---|---|---|---|
English & Latin Print English, Spanish, French, German | 99.2% | 98.8% | 97.6% | 94.5% |
Arabic (Naskh & Modern) Arabic | 95.3% | 91.2% | 84.0% | 76.1% |
Urdu (Nastaliq & Calligraphic) Urdu | 94.8% | 88.5% | 79.2% | 68.4% |
Hindi & Devanagari Hindi, Marathi, Nepali | 96.1% | 94.0% | 87.5% | 81.0% |
Chinese (Simplified & Traditional) Chinese | 96.4% | 95.5% | 90.1% | 84.2% |
Japanese (Kanji, Hiragana, Katakana) Japanese | 95.8% | 94.8% | 88.9% | 82.7% |
Korean (Hangul) Korean | 97.0% | 96.2% | 91.0% | 85.5% |
Handwritten English Text English Cursive | 78.5% | 74.1% | 72.0% | 32.0% |