wizardextract 1.0.1

Text extraction from PDFs, Word files, spreadsheets, and images. Local OCR with Tesseract and optional Azure Document Intelligence for text, tables, and key–value pairs. Includes page/sheet selection and a hybrid PDF mode.

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Wizard Extract

WizardExtract is a Python library for reliable text extraction from PDFs, Office documents, and images. It supports local OCR with Tesseract and cloud OCR with Azure Document Intelligence. It provides page and sheet selection, hybrid PDF handling that combines native text with OCR, and deterministic I/O. With Azure prebuilt-layout it can also return tables and key-value pairs.

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Contents

• Installation
• Quick start
• API overview
• Text extraction
• Azure OCR
• License
• Resources

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Installation

Requires Python 3.9+.

pip install wizardextract

Optional extras:

• Azure OCR: pip install "wizardextract[azure]"

For OCR capabilities, ensure you have Tesseract installed on your system.

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Quick start

import wizardextract as we

text = we.extract_text("example.pdf")
print(text)

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API overview

Method	Purpose
extract_text	Local text extraction with optional Tesseract OCR
extract_text_azure	Cloud extraction via Azure (text, tables, key-value)

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Text extraction

Parameters

• input_data: [str, bytes, Path]
• extension: The file extension, required only if input_data is bytes.
• pages: Page/sheet selection.
  • Paged (PDF, DOCX, TIFF): 1, "1-3", [1, 3, "5-8"]
  • Excel (XLSX/XLS): sheet index (int), name (str), or mixed list
• ocr: Enables OCR using Tesseract. Applies to PDF/DOCX and image-based files.
• language_ocr: Language code for OCR. Defaults to 'eng'.

Examples

Basic:

import wizardextract as we

txt = we.extract_text("docs/report.pdf")

From bytes:

from pathlib import Path
import wizardextract as we

raw = Path("img.png").read_bytes()
txt_img = we.extract_text(raw, extension="png")

Paged selection and OCR:

import wizardextract as we

sel = we.extract_text("docs/big.pdf", pages=[1, 3, "5-7"])
ocr_txt = we.extract_text("scan.tiff", ocr=True, language_ocr="ita")

Supported Formats

Format	OCR Option
PDF	Optional
DOC	No
DOCX	Optional
XLSX	No
XLS	No
TXT	No
CSV	No
JSON	No
HTML	No
HTM	No
TIF	Default
TIFF	Default
JPG	Default
JPEG	Default
PNG	Default
GIF	Default

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Azure OCR

Parameters

• input_data: [str, bytes, Path]
• extension: File extension when bytes are passed.
• language_ocr: OCR language code (ISO-639).
• pages: Page selection (int, "1,3,5-7", or list).
• azure_endpoint: Azure Document Intelligence endpoint URL.
• azure_key: Azure API key.
• azure_model_id: "prebuilt-read" (text only) or "prebuilt-layout" (text + tables + key-value).
• hybrid: If True, for PDFs: native text via PyMuPDF and images via OCR.

Example

import wizardextract as we

res = we.extract_text_azure(
    "invoice.pdf",
    language_ocr="ita",
    azure_endpoint="https://<resource>.cognitiveservices.azure.com/",
    azure_key="<KEY>",
    azure_model_id="prebuilt-layout",
    hybrid=True,
)

print(res.text)
print(res.pretty_tables[:1])
print(res.key_value)

License

AGPL-3.0-or-later.

RESOURCES

• GitHub Repository
• Documentation
• PyPI Package

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Contact & Author

Author: Mattia Rubino
Email: [e-mail]