Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/xeloxa/wtosrt
Effortlessly convert your whisper timestamped subtitles in an unknown/rarely used format to the more familiar SRT format.
https://github.com/xeloxa/wtosrt
conversion python srt-subtitles subtitle subtitle-edit subtitle-format timestamp timestamp-convert whisper
Last synced: about 3 hours ago
JSON representation
Effortlessly convert your whisper timestamped subtitles in an unknown/rarely used format to the more familiar SRT format.
- Host: GitHub
- URL: https://github.com/xeloxa/wtosrt
- Owner: xeloxa
- License: mit
- Created: 2025-01-21T12:22:35.000Z (14 days ago)
- Default Branch: main
- Last Pushed: 2025-02-02T20:50:07.000Z (1 day ago)
- Last Synced: 2025-02-02T21:27:14.821Z (1 day ago)
- Topics: conversion, python, srt-subtitles, subtitle, subtitle-edit, subtitle-format, timestamp, timestamp-convert, whisper
- Language: Python
- Homepage:
- Size: 64.1 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
![Banner](assets/banner.png)
### What is this application and what does it do?
This tool is designed to convert timestamped subtitles generated by applications like [Hugging Face Space](https://huggingface.co/spaces/sanchit-gandhi/whisper-jax) into the widely used SRT format. The program does not create subtitles on its own; it only converts Whisper-JAX and similar format outputs to SRT format. It does not convert VTT or other formats to SRT (these features may be added in future updates).### Features
- Easy to use interface
- Compatible with all devices
- Multi-operation support
- Error checking mechanism
- Open source## Interface view:
![Application Interface](assets/images/1.png)
![Example Usage](assets/images/2.png)
![Result Screen](assets/images/3.png)## Installation steps:
1. Download the application from the [releases](https://github.com/xeloxa/WTOSRT/releases) page.
2. Run the application.## Usage:
1. Select or paste the input file.
2. Select the output path (by default it is the location of the input file).
3. Click on the “Convert” button.