Python 3.11 is now the minimum supported version. This aligns with
the codebase's use of StrEnum (introduced in 3.11) and removes
compatibility shims that were only needed for older versions.
Document the new v17 API style where OcrOptions can be passed directly
to ocr(). Mark the positional argument style as legacy API for <v17
compatibility. Update examples to use modern syntax.
Allow passing an OcrOptions object directly to ocr() as the first
positional argument, providing a cleaner API for programmatic use.
The old-style API with individual parameters remains fully supported.
The pypdfium rasterizer was producing output images that differed by 1
pixel compared to Ghostscript due to floating-point precision issues in
dimension calculations.
Root cause:
- pypdfium used harmonic mean of x/y DPI to calculate a single scale
factor, losing the distinction between x and y DPI
- No DPI rounding like Ghostscript's 6-decimal precision
- Compound rounding errors when converting points to pixels
Solution:
1. Round DPI to 6 decimals to match Ghostscript's precision
2. Calculate expected output dimensions using separate x/y DPI values
3. Handle dimension swapping for 90°/270° rotations
4. Resize output image if off by 1-2 pixels (graceful correction)
This ensures pixel-perfect matching with Ghostscript while being
minimally invasive and only resizing when necessary.
Changes:
- Modified _render_page_to_bitmap() to calculate expected dimensions
- Modified _process_image_for_output() to correct small discrepancies
- Updated rasterize_pdf_page() to pass dimensions through pipeline
- Parametrized rotation tests to run with both rasterizers
All 45 rotation tests now pass with both pypdfium and ghostscript.
Fixes test_rotated_skew_timeout with pypdfium rasterizer.
Images with [FlateDecode, DCTDecode] filter chain were incorrectly
being marked for additional FlateDecode compression, resulting in
double-compressed data and invalid output PDFs.
Add _already_flate_encoded() helper to check if an image already has
FlateDecode in its filter chain, and skip such images in
_find_deflatable_jpeg().
Migrate watcher.py and pdf_text_diff.py from typer to cyclopts for
CLI argument parsing. Update pyproject.toml to reflect the dependency
change in the watcher optional feature.
Establish clear separation between user-facing optional dependencies
and developer-only dependency groups:
**Optional Dependencies (user features):**
- watcher: File watching service for batch processing
- webservice: Streamlit-based web UI
- Installable via: uv sync --extra <name> or pip install ocrmypdf[name]
**Dependency Groups (developer tools):**
- test: Testing infrastructure (merged from test + extended_test)
- docs: Documentation building tools
- streamlit-dev: Enhanced Streamlit development tools
- dev: General development tools (mypy, ipykernel)
- Installable via: uv sync --group <name> (uv only, NOT pip)
Breaking changes for developers:
- pip install -e .[test] no longer works → use uv sync --group test
- pip install -e .[docs] no longer works → use uv sync --group docs
- pip install -e .[extended_test] removed → merged into test group
No breaking changes for end users:
- pip install ocrmypdf[watcher] still works
- pip install ocrmypdf[webservice] still works
Updated:
- CI/CD workflows to use uv sync --group test
- Docker images to exclude test dependencies
- Documentation to recommend uv with pip as fallback
- pyproject.toml with clear comments explaining both systems
Introduce a new --mode (-m) argument that consolidates the three
mutually exclusive OCR processing options into a single enum:
- default: Error if text is found (standard behavior)
- force: Rasterize all content and run OCR (replaces --force-ocr)
- skip: Skip pages with existing text (replaces --skip-text)
- redo: Re-OCR pages, stripping old text layer (replaces --redo-ocr)
The legacy flags --force-ocr, --skip-text, and --redo-ocr remain as
silent aliases for backward compatibility. Both CLI and API usage
continue to work unchanged.
Introduce --ocr-engine option to select between OCR engines:
- 'auto' (default): Uses Tesseract
- 'tesseract': Explicit Tesseract selection
- 'none': Skip OCR entirely (for PDF processing only)
Key changes:
- Extend OcrEngine ABC with generate_ocr() and supports_generate_ocr()
for direct OcrElement tree output (bypasses hOCR)
- Add get_ocr_engine(options) hook parameter for engine selection
- Implement NullOcrEngine for --ocr-engine none
- Export OcrElement, OcrClass, BoundingBox from ocrmypdf package
- Add ocr_tree support to grafting pipeline
This prepares the foundation for pluggable OCR engines while maintaining
full backward compatibility with existing Tesseract-based workflows.
pypdfium2 expects clockwise rotation values, but OCRmyPDF tracks
rotation in counter-clockwise. Negate the rotation value to fix.
Also refactor nested try/finally blocks to use contextlib.closing()
for cleaner resource management.
- Check all required output files exist before declaring cache hit,
not just stderr.bin
- Add 'hocr' to list of cached output file types
- Fix timeout=0.0 causing immediate timeout on cache miss by treating
it as "no timeout"
- Add new '--output-type auto' option (now the default) that produces
best-effort PDF/A without requiring Ghostscript
- When verapdf is available, use speculative PDF/A conversion
- Without verapdf, pass through as PDF/A if safe (input claims PDF/A
or --force-ocr was used), otherwise output as regular PDF
- Make Ghostscript check conditional - only required for pdfa* output types
- Update soft error tests to explicitly use --output-type pdfa since they
exercise Ghostscript failure modes
- Fix Tesseract OSD error handling to check both stdout and stderr for
known non-fatal messages like "Too few characters"
Insert space characters between words in the fpdf2 renderer so PDF
readers like pdfminer.six can properly segment words during text
extraction. Some PDF readers rely on explicit space characters rather
than inferring word boundaries from positioning.
- Use itertools.pairwise to iterate consecutive word pairs
- Render space immediately after each word (content stream order matters)
- Skip space insertion between CJK words (no spaces in CJK text)
- Use 5% line height threshold to filter OCR noise
- Support RTL text direction
When the user explicitly sets --pdfa-image-compression to something
other than 'auto', skip the speculative PDF/A conversion and use
Ghostscript instead. The speculative conversion (using pikepdf +
verapdf) doesn't apply image compression settings, so Ghostscript
is required to honor the user's compression preference.
Replace pm.hook.method() calls with pm.method() calls to match the
refactored plugin manager that now uses composition over inheritance.
The hook attribute is no longer directly exposed; instead, type-safe
methods are provided directly on the plugin manager class.
Introduce a fast path for PDF/A conversion that uses pikepdf to add
PDF/A structures directly (sRGB ICC profile and XMP metadata), then
validates with verapdf. If validation passes, skip Ghostscript entirely.
If validation fails or verapdf is unavailable, fall back to the existing
Ghostscript conversion path.
New files:
- src/ocrmypdf/_exec/verapdf.py: CLI wrapper for verapdf validator
- tests/test_verapdf.py: Test suite for new functionality
Modified:
- pdfa.py: Add speculative_pdfa_conversion() and helpers
- _pipeline.py: Add try_speculative_pdfa() function
- _pipelines/_common.py: Integrate speculative path into postprocess()
Replace inheritance from pluggy.PluginManager with composition pattern,
providing a type-safe interface for all 16 hooks defined in pluginspec.py.
The underlying pluggy manager is now accessible via the .pluggy property
for advanced use cases like set_blocked().
This change enables IDE autocomplete and type checking for all hook calls
while maintaining full backward compatibility with the plugin system.
Instead of setting OMP_THREAD_LIMIT in the parent process's environment,
calculate the thread limit in the validate hook and pass it through to
Tesseract subprocess calls via the env parameter. This avoids polluting
the parent process's environment while still controlling Tesseract's
thread usage.
- Add hOCR test fixtures for Latin, Arabic, CJK, Devanagari scripts
- Add tests for fpdf2 renderer, multi-font manager, system font provider
- Add multilingual rendering tests
- Update existing tests to use fpdf2 renderer
- Update pipeline to use fpdf2 renderer as default
- Remove legacy hocrtransform PDF renderer (_font.py, _hocr.py,
pdf_renderer.py)
- Update CLI and options for fpdf2 renderer
- Add fpdf2 dependency to pyproject.toml
- Update graft module for fpdf2 multi-page rendering
Implement new PDF renderer using fpdf2 library that provides:
- Multilingual text support via font module
- Proper baseline and rotation handling
- Multi-page rendering with efficient font embedding
- Invisible but selectable text layer
- Add font module with FontManager, FontProvider, MultiFontManager,
and SystemFontProvider for multilingual font support
- Add NotoSans-Regular.ttf for Latin text rendering
- Replace pdf.ttf with Occulta.ttf glyphless font
- Add script to generate new Occulta glyphless font
- System font discovery for CJK, Arabic, Devanagari scripts
Replace integer-based thresholding parameter with ThresholdingMethod
enum for improved type safety. The CLI still accepts the same string
values (auto, otsu, adaptive-otsu, sauvola) but internally uses a
strongly-typed enum. This makes the code more maintainable and catches
type errors at development time.
