openlrc

Transcribe and translate voice into LRC file using Whisper and LLMs (GPT, Claude, et,al). 使用whisper和LLM(GPT,Claude等)来转录、翻译你的音频为字幕文件。

Not yet testedsource: GitHubhomepagePythonMITcommit 7b7f6186c34c

Python, MIT licensed. The project labels itself: auto subtitle, faster whisper, lyrics, lyrics generator, openai api, openlrc, python and speech to text.

openlrc has not been verified yet.

Measured by Argusic on a fresh machine every time. Every number links to its evidence.

At a glance

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
681
forks
53
open issues
4
watchers
10
size
9 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

No recorded runs.

Topics (from GitHub)

auto-subtitlefaster-whisperlyricslyrics-generatoropenai-apiopenlrcpythonspeech-to-textsubtitle-translationtranscribevoice-to-textwhisper

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/openlrc.svg)](https://argusic.com/subject/openlrc)

Questions

Does openlrc run?
openlrc has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test openlrc?
On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
Where is the evidence for openlrc?
All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion