AV2Sub

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Audio/Video to Subtitle converter with translation.

AV2Sub 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# AV2Sub

Audio/Video to Subtitle converter with translation.

## Features

* Transcribe audio/video to srt
* Translate srt to bilingual srt
* Transcribe API: Whisper(OpenAI,[whisper-timestamped-WebAPI](https://github.com/HAL9000COM/whisper-timestamped-WebAPI)), DeepSpeech&Coqui STT via [AutoSub-WebAPI](<https://github.com/HAL9000COM/AutoSub-WebAPI>)
* Translate API: DeepL, DeepL Pro, Google

## Requirements

* ffmpeg

## Usage

For OpenAI and DeepL API, enter your API key in Settings tab.

For [AutoSub-WebAPI](https://github.com/HAL9000COM/AutoSub-WebAPI) and [whisper-timestamped-WebAPI](https://github.com/HAL9000COM/whisper-timestamped-WebAPI), set up the container and enter the URL. e.g. <http://localhost:5000/transcribe>

Select the audio/video file, set target language and style of subtitles, then click `Process`.

## For dev

### Install

poetry install

### Run

python .\av2sub\gui.py

## TODO

* [ ] Audio splitting
* [ ] Google APIs
* [x] Better timestamp accuracy with other model with whisper-timestamped
* [ ] Contextual translation
* [ ] GUI translation

## GUI compile

python -m nuitka gui.py --standalone --include-data-files="licenses.md=licenses.md" --include-data-files="about.md=about.md" --enable-plugin=pyside6 --include-module=pygments --disable-console

## Disclaimer

According to Article 8 of [Berne Convention for the Protection of Literary and Artistic Works](https://www.wipo.int/treaties/en/ip/berne/):
> Authors of literary and artistic works protected by this Convention shall enjoy the exclusive right of making and of authorizing the translation of their works throughout the term of protection of their rights in the original works.

Please comply with the copyright laws in the jurisdiction where you intend to create, distribute, or use translations as well as the terms and conditions of APIs used.

AV2Sub

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