pytesseract
Python-tesseract is a python wrapper for Google's Tesseract-OCR
Decision gist · record as of 2026-08-14
Yes. Pytesseract is a mature, actively maintained wrapper with low install friction, permissive licensing, and no known vulnerabilities. It is the standard Python interface to Tesseract-OCR and suitable for production use. The main constraint is the external Tesseract system dependency, which must be installed separately—this is not a Python-only package. If you need OCR in Python and can satisfy the Tesseract prerequisite, this is the right choice.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Google's Tesseract-OCR engine must be installed separately on your system; pytesseract is only a Python wrapper.
- You may also need to set pytesseract.pytesseract.tesseract_cmd to the full path of the tesseract executable if it is not in your PATH.
- Low install friction with only two runtime dependencies (Pillow and packaging).
License · maintenance · safety
Apache License 2.0 (permissive) — Licensed under Apache License 2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions beyond attribution.
last release 2024-08-16 (728 days) · last repo commit 2026-07-13 · 6,381 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 24,688,706 downloads/mo, #915 on PyPI
Alternatives
Verify before relying
pip install pytesseract
import pytesseract
text = pytesseract.image_to_string('test.png')
print(text)- Performance characteristics (speed, memory usage) for large-scale batch processing or high-resolution images
- Accuracy rates for different languages and image types compared to other OCR solutions
- Whether the package handles scanned documents with skew, noise, or poor quality automatically
What it is and what it does
Pytesseract is a Python wrapper around Google's Tesseract-OCR engine that extracts text from images. It handles a wide range of image formats (JPEG, PNG, GIF, BMP, TIFF, and others) and can recognize text in multiple languages. The package works with image objects, NumPy arrays, or file paths, making it flexible for different image sources.
Beyond simple text extraction, pytesseract offers multiple output modes: bounding boxes for character positions, detailed data with confidence scores and line numbers, orientation and script detection, searchable PDFs, HOCR markup, and ALTO XML. It supports custom Tesseract configuration flags for fine-tuning OCR parameters, language specification, and timeout control. The package can also process multiple images in batch and reduce redundant Tesseract calls by retrieving multiple output formats in a single invocation.
Use it for
- Extract text from scanned documents or photos of printed material for digitization or archival
- Recognize text in multiple languages from images by specifying language codes
- Generate searchable PDFs from image documents using the PDF or HOCR output formats
- Extract character bounding boxes and confidence scores for document layout analysis
- Batch process collections of images to extract text with timeout protection against hung jobs
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Pytesseract is a mature, actively maintained wrapper with low install friction, permissive licensing, and no known vulnerabilities. It is the standard Python interface to Tesseract-OCR and suitable for production use. The main constraint is the external Tesseract system dependency, which must be installed separately—this is not a Python-only package. If you need OCR in Python and can satisfy the Tesseract prerequisite, this is the right choice.
Install
pytesseract on PyPI
Before you install
Low install friction with only two runtime dependencies (Pillow and packaging). The package is actively maintained with a recent commit on 2026-07-13 and has 6381 repository stars, indicating stable community adoption.
Google's Tesseract-OCR engine must be installed separately on your system; pytesseract is only a Python wrapper. You may also need to set pytesseract.pytesseract.tesseract_cmd to the full path of the tesseract executable if it is not in your PATH.
License in practice
Licensed under Apache License 2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions beyond attribution.
Quickstart
pip install pytesseract
import pytesseract
text = pytesseract.image_to_string('test.png')
print(text)Verify before relying
- Performance characteristics (speed, memory usage) for large-scale batch processing or high-resolution images
- Accuracy rates for different languages and image types compared to other OCR solutions
- Whether the package handles scanned documents with skew, noise, or poor quality automatically
Package facts
| License | Apache License 2.0 permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagespackagingPillow |
| Maintenance | Actively maintained 728 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 24,688,706 / month, #915 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPy |
Evidence: pytesseract-0.3.13-py3-none-any.whl
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See also pyocr · tesserocr · unstructured.pytesseract · ocrmac · keras-ocr · ocrmypdf · img2table · tesseract · easyocr · python-doctr