tindtechnologies-py-pdftools 0.1.2

High-level PDF transformations backed by Apache PDFBox

py-pdftools

py-pdftools is a Python library for high-level PDF transformations backed by Apache PDFBox and compiled to a native library with GraalVM Native Image.

The initial release adds invisible, searchable OCR text layers to existing PDFs without requiring Java at runtime. It accepts provider-independent OCR lines, maps normalized visible-page coordinates through crop boxes and page rotation, fits and embeds Unicode text, and returns a new PDF as bytes.

Self-contained wheels are available from PyPI for all five supported platforms. The complete implementation passes native, Python, installation, and installed-wheel smoke tests. See PROGRESS.md for the release verification record.

Installation

python -m pip install tindtechnologies-py-pdftools

The PyPI distribution is named tindtechnologies-py-pdftools; the Python import remains py_pdftools.

Runtime requirements

• Python 3.10 or newer.
• A platform wheel matching Linux x86-64/ARM64, macOS x86-64/ARM64, or Windows x86-64.
• No Java, JVM, Gradle, Maven, or GraalVM installation.

To build a wheel from source, use BUILDING.md.

Add an OCR text layer

from pathlib import Path

from py_pdftools import (
    NormalizedRect,
    OcrDocument,
    OcrLine,
    OcrPage,
    OcrTextLayerOptions,
    add_ocr_text_layer,
)

source = Path("scan.pdf").read_bytes()
ocr = OcrDocument(
    pages=(
        OcrPage(
            page_index=0,
            orientation=0,
            lines=(
                OcrLine(
                    text="Example OCR text",
                    bounds=NormalizedRect(
                        left=0.10,
                        top=0.20,
                        width=0.40,
                        height=0.03,
                    ),
                    confidence=98.4,
                ),
            ),
        ),
    ),
)

result = add_ocr_text_layer(
    source,
    ocr,
    options=OcrTextLayerOptions(minimum_confidence=80.0),
)
Path("searchable.pdf").write_bytes(result)

OCR bounds use normalized coordinates relative to the visible crop box after page rotation. The origin is at the visible top-left. orientation is the OCR text direction in that same visible coordinate system and must be one of 0, 90, 180, or 270: 0 = right, 90 = down, 180 = left, and 270 = up.

By default the OCR document must contain every PDF page exactly once. Set allow_partial_document=True to modify only supplied pages. Lines below minimum_confidence are skipped; lines without confidence are retained. debug_visible_text=True renders the inserted text for placement diagnostics. Copied or extracted OCR text preserves the exact Unicode sequence supplied in each OcrLine, including character sequences that a font could render as a typographic ligature.

Inspect page geometry

from pathlib import Path

from py_pdftools import inspect_pdf

info = inspect_pdf(Path("scan.pdf").read_bytes())
for page in info.pages:
    print(
        page.page_index,
        page.width_points,
        page.height_points,
        page.rotation,
        page.crop_box,
    )

Visible width and height reflect the crop box after page rotation. Box coordinates themselves remain in PDF user space.

Behavior and limits

• Existing page streams are preserved and the OCR layer is appended.
• Normal OCR text uses PDF rendering mode 3 (neither fill nor stroke), while remaining searchable and extractable.
• Noto Sans is subset and embedded. Unsupported characters raise FontError instead of being silently replaced.
• Ordinary left-to-right text is supported. Advanced bidirectional and complex script shaping is not guaranteed in version 0.1.
• The library consumes OCR results; it does not render pages or run an OCR engine.
• Password input is not supported. PDFs requiring a password raise PdfPasswordRequiredError, and modification restrictions raise PdfPermissionError.

All public failures derive from PdfToolsError. More specific exceptions distinguish invalid PDFs, invalid OCR data, page mismatches, font coverage, permissions, native loading, and PDF processing failures.

License

Project code is licensed under the Apache License 2.0. The bundled Noto Sans font is licensed separately under the SIL Open Font License 1.1. See LICENSE, NOTICE, and the bundled third-party license texts for details.

Project documentation

• SPECS.md — version 0.1 behavior and acceptance contract.
• BUILDING.md — local builds, tests, and platform wheels.
• docs/textract-normalization.md — convert Textract-shaped mappings without adding boto3 to the package.
• docs/native-abi-v1.md — private Python/native protocol.
• docs/releasing.md — wheel and publication checklist.