Xtracture: Open Source Document Content Extractuion Library
Xtracture is an open source library designed to efficiently extract arbitrary elements from documents.
Features
- Natural language rule creation using LLMs
- Switchable OCR engines for optimized perfomance and accuracy
prerequirements
- OpenAI API Key (for LLM rule creation)
Installation
pip install -U xtracture
Usage
Use Google Cloud Vision API
Google CLoud Vision Credentials must be correctly configured.
see examples/google_cloud_vision_example.py.
Use Tesseract
Tesseract must be installed beforehand.
see examples/tesseract_example.py.
Use only GPT Extractor
You can input OCR-processed text file.
see examples/lambda_example.py.
License
Xtracture is released under the MIT License.
1 maintainer
Metadata
1 maintainer
Release files for xtracture 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| xtracture-0.4.0.tar.gz | 3.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| xtracture-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.1 kB
Release files / xtracture-0.4.0.tar.gz
| Download URL | xtracture-0.4.0.tar.gz |
|---|---|
| Size | 3.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
poetry/1.3.2 CPython/3.10.2 Darwin/22.3.0
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Release files / xtracture-0.4.0-py3-none-any.whl
| Download URL | xtracture-0.4.0-py3-none-any.whl |
|---|---|
| Size | 4.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.10.2 Darwin/22.3.0
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