Tesseract vs EasyOCR.
Tesseract has been the OCR standard since the 1980s. EasyOCR shipped in 2019 with deep learning and support for 80+ languages. Both are free and open source. The question is whether classic pattern matching can compete with modern neural networks.
The numbers, row by row.
| Metric | Tesseract 5.5 | EasyOCR |
|---|---|---|
| Time | 0.82s | 2.45s |
| Confidence | 89.3% | 96.8% |
| Character errors | 4 | 0 |
| Languages supported | 100+ | 80+ |
| Setup complexity | Simple | Medium |
| Dependencies | ~10MB | ~500MB |
| GPU support | No | Yes |
Test document. 1024x768 pixels, mixed fonts, some noise.
Tesseract output — 4 char errors
“Qty” became “ay”; missing colon after “#”; inconsistent spacing in “Corporation”.
QUARTERLY REPORT
Invoice #: QR-2025-001
Date: December 18, 2025
Bill To:
Acme Corporation
123 Business Street
Description ay Price Total
Consulting Services 40 $150.00 $6,000.00
Project Management 20 $175.00 $3,500.00
...EasyOCR output — 0 errors
Clean output with proper spacing. The neural network understands word boundaries better than Tesseract’s heuristics.
QUARTERLY REPORT
Invoice #: QR-2025-001
Date: December 18, 2025
Bill To:
Acme Corporation
123 Business Street
Description Qty Price Total
Consulting Services 40 $150.00 $6,000.00
Project Management 20 $175.00 $3,500.00
...Get the full OCR comparison spreadsheet
30+ models × 8 benchmarks, accuracy + price per page. We email it and keep it current.
When to pick which.
- Accuracy matters
- Multilingual documents in 80+ languages
- You have GPU available
- Processing quality matters more than speed
- You can afford a 500MB dependency
- Speed is critical (3x faster on CPU)
- Simple documents, errors are tolerable
- Resource-constrained environments
- You need a lightweight 10MB solution
- No deep learning dependencies allowed
For production systems where accuracy matters, EasyOCR is worth the extra setup and processing time. For batch processing millions of simple documents where some errors are acceptable, Tesseract’s speed advantage is compelling.
The code.
Tesseract installs with brew install tesseract or apt-get install tesseract-ocr. EasyOCR requires PyTorch and 500MB minimum, but you get GPU acceleration and better accuracy.
Tesseract
import pytesseract
image = Image.open('document.png')
text = pytesseract.image_to_string(image, lang='eng')
print(text)EasyOCR
import easyocr
reader = easyocr.Reader(['en'])
result = reader.readtext('document.png')
for detection in result:
text = detection[1]
confidence = detection[2]
print(f"{text} ({confidence:.2f})")Adjacent comparisons.
Get the full OCR comparison spreadsheet
30+ models × 8 benchmarks, accuracy + price per page. We email it and keep it current.