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How It Works
User submits a PDF URL (e.g., https://upload.wikimedia.org/wikipedia/commons/.../file.pdf) at /pdf
PDF is downloaded and each page rendered to a PNG image via Imagick
Each page image is classified using contour analysis:
Text pages: only small text-like regions detected
Image+Text pages: mix of large image regions and small text regions
Image pages: only large image regions (these are skipped for OCR)
Only Text and Image+Text pages are sent to the selected OCR engine
Results show per-page classifications, per-page text, and combined full text
API Usage
GET /api/pdf?image=<PDF_URL>&engine=google&langs[]=en&start_page=1&end_page=10
Returns JSON with per-page classifications, OCR text, and summary.
To Run
Install Imagick (macOS)
pecl install imagick
brew install ghostscript
Or use Docker
./docker/setup.sh && ./docker/run.sh
Then visit http://localhost:8000/pdf
New Files Created
PdfProcessor.php - Core PDF processing service that:
Downloads PDFs from Wikimedia Commons URLs
Converts PDF pages to images using Imagick (ImageMagick)
Classifies each page as Text, Image, or Image+Text using GD-based contour analysis (ported from the Python app.py logic)
Uses flood-fill connected component analysis at 1/4 resolution for performance
Supports page range filtering (start_page, end_page)
PdfPageClassification.php - Immutable DTO for a classified page (page number, type, image data, hasText() helper)
PdfResult.php - Immutable DTO for the full PDF result (page classifications, per-page OCR text, combined text, warnings, helpers for OCR'd/skipped pages)
PDF processing with:
PDF URL input with page range options
Engine and language selection
Processing summary (total/OCR'd/skipped pages)
Page classification table with color-coded labels
Per-page text output in expandable panels
Full combined text with copy-to-clipboard
will further try imrpving the ui and make the code more modular and try fixing:
-Possible crash in Transkribus line model mapping (missing key handling)
-Transkribus polling loop has no timeout (can block indefinitely)
-OCR response uses JSON_NUMERIC_CHECK which can corrupt numeric text
-Image URL validation isn’t strict enough (edge cases + SSRF risk)