Skip to main content

Scientific manuscript PDF file renamer

Project description

refren: scientific manuscript PDF renamer

Renames a PDF file - assumed to contain a scientific manuscript - to FirstAuthor_SecondAuthor_JournalAbbrev_Year.pdf using Claude AI to extract bibliographic metadata from the first page.

Usage

refren <pdf_file> [--remove]

--remove deletes the original PDF after creating the renamed copy.

Example

$ refren 1758-2946-6-10.pdf 
  (calling Claude API...)
  First author last name : Krstajic
  Second author last name: Buturovic
  Journal                : Journal of Cheminformatics -> J Cheminform
  Year                   : 2014

  1758-2946-6-10.pdf  ->  Krstajic_Buturovic_JCheminform_2014.pdf
Copied to: Krstajic_Buturovic_JCheminform_2014.pdf

Install

pipx install refren

The program uses Claude, and therefore requires an ANTHROPIC_API_KEY environment variable.

Development

cd ~/github/refren
uv run python -m build
uv run twine upload dist/*

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

refren-0.4.0.tar.gz (2.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

refren-0.4.0-py3-none-any.whl (4.2 kB view details)

Uploaded Python 3

File details

Details for the file refren-0.4.0.tar.gz.

File metadata

  • Download URL: refren-0.4.0.tar.gz
  • Upload date:
  • Size: 2.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

File hashes

Hashes for refren-0.4.0.tar.gz
Algorithm Hash digest
SHA256 3d8cae084277f63cd52a6695f25d9d61c5a89bd201aa95ff2367c0056a2c01a1
MD5 76b2baae558549df2d353c296571a553
BLAKE2b-256 53719ba2c52aa8204ccaf789f7bb43650944a4aba93ceebac8c7f2d9964c111b

See more details on using hashes here.

File details

Details for the file refren-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: refren-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 4.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

File hashes

Hashes for refren-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 800741b30b387e788a708f57936b4b2948e1394aae99752ad23c3a62a822aebd
MD5 f47755a4c10150bca42d486f37173775
BLAKE2b-256 5a1dca0ff90a17ace8c36417cd1951b148972e7bb32678278f79bc05963b1fd6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page