CLI for running files through AWS Textract
Project description
textract-cli
CLI for running files through AWS Textract
Installation
Install this tool using pip
:
pip install textract-cli
Configuration
Any of the methods for configuring boto3
will work with this tool. Environment variables or a ~/.aws/config
file are good options here.
Usage
To run Textract OCR against a JPEG or PNG file (must be smaller than 5MB):
textract-cli image.jpeg
This will output to standard out. To save to a file use this:
textract-cli image.jpeg > output.txt
Or use the -o/--output
option like this:
textract-cli image.jpeg -o output.txt
For help, run:
textract-cli --help
You can also use:
python -m textract_cli --help
Development
To contribute to this tool, first checkout the code. Then create a new virtual environment:
cd textract-cli
python -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest
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 textract-cli-0.1.tar.gz
.
File metadata
- Download URL: textract-cli-0.1.tar.gz
- Upload date:
- Size: 7.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ef555f6e1e52d63e8efd20e16c2fa950874a3e361a86f248755eccebdf17dffa |
|
MD5 | 36e9783b54f6a52bf89b995576d76caa |
|
BLAKE2b-256 | a05cde8cc5e2c38e41955a9b0185e83d1c38128e176c53b87d23597fcbc4df16 |
File details
Details for the file textract_cli-0.1-py3-none-any.whl
.
File metadata
- Download URL: textract_cli-0.1-py3-none-any.whl
- Upload date:
- Size: 7.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ed17add973cf94a43fc95a25ace82fb828747bb2867683cedd2cb9d2469d39e4 |
|
MD5 | 90b1eeae1e65bba72bb3cb9152bb0c74 |
|
BLAKE2b-256 | fd746102999fc493cbfcfb944fd1ee4ff54831cfa2c4d672ca7df72359d8bcea |