Python tools for interacting with Tesseract
Project description
OCR utils
Python tools for interacting with Tesseract
Features
- Detects tables in PDF/images and performs OCR on each cell
- Performs OCR on PDF and generates SVG image
Quick Start
from ocr_utils import pdf_to_svg
pdf_to_svg(
input_filename='in.pdf',
output_filename='out.svg',
detect_tables=True,
lang='eng',
)
Execution example
Input pdf
Output svg
Installation
Stable Release: pip install tesseract_ocr_utils
Development Head: pip install git+https://github.com/envinorma/ocr_utils.git
This library is built upon pytesseract and pdf2image which have non-pip requirements. Visit these libraries installation pages to install dependencies.
For example, on ubuntu, the following libraries need to be installed:
apt-get install libarchive13
apt-get install tesseract-ocr
apt-get install poppler-utils
Documentation
For full package documentation please visit envinorma.github.io/ocr_utils.
Development
See CONTRIBUTING.md for information related to developing the code.
MIT license
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file tesseract_ocr_utils-0.0.6.tar.gz
.
File metadata
- Download URL: tesseract_ocr_utils-0.0.6.tar.gz
- Upload date:
- Size: 560.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7a27d67141496ca1875368c35639d163b90c35c033547bd464fe33efae9a5035 |
|
MD5 | c5e7eb8dbe8404a1a9ad963af16e453d |
|
BLAKE2b-256 | 41947b2ed55fdd63f76bdc07cbf83e7f673fc39a40fca384603a635d77c68418 |
File details
Details for the file tesseract_ocr_utils-0.0.6-py2.py3-none-any.whl
.
File metadata
- Download URL: tesseract_ocr_utils-0.0.6-py2.py3-none-any.whl
- Upload date:
- Size: 12.0 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9d262db1ac307b8f98d4f8f4e0e430d3b38ee435087a45079121d8810143550a |
|
MD5 | 9e132ca16dca8fa747996377e691395a |
|
BLAKE2b-256 | 5d7a8c7e3768b5d08d0c44d726f07afb3d99b29102380b6c93f0d1dbf64509a5 |