Integrated document processing with machine learning.
Project description
doc2data
About doc2data
doc2data is a Python library that provides functionality to train deep learning models for various document processing tasks.
Currently, models can be trained for four tasks:
- Page rotation
- Page cropping
- Document (multi-page) classification
- Token classification
Please note that doc2data is currently in a prototype stage.
Installation
pip install doc2data
Documentation
The documentation can be found here.
License
doc2data is distributed under the terms of the Apache-2.0 license.
Credits
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file doc2data-0.2.0.tar.gz.
File metadata
- Download URL: doc2data-0.2.0.tar.gz
- Upload date:
- Size: 18.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.23.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
362e6f064ed8f0d16ffe5408b250c2e5d6311771abed222286b22cc95070ea61
|
|
| MD5 |
82ce1227903e5b85bf61ea410926c206
|
|
| BLAKE2b-256 |
c3a3a2e725d87415b830865b72888bf4e431679b834733db4802b54a0e1b10b3
|
File details
Details for the file doc2data-0.2.0-py3-none-any.whl.
File metadata
- Download URL: doc2data-0.2.0-py3-none-any.whl
- Upload date:
- Size: 18.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.23.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ad8ca54060e851bcffe6fc8bd12a9a1450fe35a5d4e0750582bfdf0839d66fe6
|
|
| MD5 |
4022a009ce15e220ef360c20ea91d8e9
|
|
| BLAKE2b-256 |
e8f5346825bfb27a668448c6bf4c4f1a617e1afad7ab1fdabefd68b3a119ebc7
|