Document utilities for SRX: extract text from PDF, DOCX, PPTX, XLSX
Project description
srx-lib-docs
Small helpers to extract plain text from common office document formats used by SRX services.
What it includes:
extract_text(path_or_bytes, mime_type=None)supports PDF, DOCX, PPTX, XLSXDocumentMarkdownConverterto download and convert PDF/DOCX/PPTX/XLSX to Markdown
Install
PyPI (public):
pip install srx-lib-docs
uv (pyproject):
[project]
dependencies = ["srx-lib-docs>=0.1.0"]
Usage
from srx_lib_docs import extract_text
text = extract_text("/path/to/file.pdf")
Markdown conversion with download:
from srx_lib_docs.markdown import DocumentMarkdownConverter
conv = DocumentMarkdownConverter()
result = await conv.process_document(url, mimetype="application/pdf")
print(result["markdown_content"]) # plus file_type, file_size, success
Notes
- For XLSX, the first 20 rows of each sheet are read to keep it lightweight; adjust in code if needed.
License
Proprietary © SRX
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
srx_lib_docs-0.1.5.tar.gz
(5.2 kB
view details)
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 srx_lib_docs-0.1.5.tar.gz.
File metadata
- Download URL: srx_lib_docs-0.1.5.tar.gz
- Upload date:
- Size: 5.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
996a12d962427a8217feb6873c909611cea54fdf05e2fc27382abc02c2f8c831
|
|
| MD5 |
25ba21257132a56859bc5bf93cf2c7b2
|
|
| BLAKE2b-256 |
2e007066823bf7f3bf34ec123cce11570216d453de11729c2e54404f862ab1c6
|
File details
Details for the file srx_lib_docs-0.1.5-py3-none-any.whl.
File metadata
- Download URL: srx_lib_docs-0.1.5-py3-none-any.whl
- Upload date:
- Size: 6.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9b9d1f8d319fc56d175bd722c7c98a99cdda3e5cc7a60f5195c639689cc6c9c6
|
|
| MD5 |
2219c67c1c65fb1b36f6ff1e94b58c90
|
|
| BLAKE2b-256 |
48722a7675d468c4639d02336aebbd615aa55bb6d916d07d91bb3ea71c4d6653
|