pdftract/tests/fixtures/ocr/perf_10_page

10-Page Performance Fixture

This fixture tests OCR performance on a multi-page document with a target processing time of < 30 seconds on a 4-core CI runner.

Structure

• ground_truth.txt: Complete text from all 10 pages
• page_*.txt: Individual page text for reference

Content Types

1. Text-heavy documentation
2. Forms with fields
3. Tabular data
4. Technical documentation
5. Legal text
6. Financial statements
7. Scientific content
8. Task lists
9. Correspondence
10. Summary

Generating source.pdf

To generate the 10-page source.pdf at 300 DPI:

Using Python with reportlab:

from reportlab.pdfgen import canvas
from reportlab.lib.pagesizes import letter

c = canvas.Canvas("source.pdf", pagesize=letter)
c.setFont("Helvetica", 12)

for i in range(1, 11):
    with open(f"page_{i}.txt") as f:
        text = f.read()

    y_position = 750
    for line in text.split('\n'):
        if y_position < 50:
            c.showPage()
            y_position = 750
        c.drawString(50, y_position, line)
        y_position -= 16

    c.showPage()

c.save()

Expected Performance

Target: < 30 seconds for full document OCR on 4-core CI runner.

This allows approximately 3 seconds per page, accounting for:

• Tesseract initialization (first page per thread)
• Image preprocessing
• OCR processing
• HOCR parsing
• Coordinate conversion