jupiter-media 0.1.0

Reusable AI-powered media intelligence pipeline for subtitles, lyrics, and transcription workflows.

Jupiter Media Pipeline

A reusable Python framework for building AI-powered media processing systems.

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This repository provides jupiter_media, a small toolkit for timed-text workflows (subtitles, lyrics) including:

• core timeline models (jupiter_media.core)
• exporters for .srt and .lrc
• an adapter for Whisper-style transcription (via faster-whisper)
• audio extraction helper and example scripts

The project ships as the jupiter-media Python package (package name: jupiter-media).

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Installation

Install from PyPI (when published):

pip install jupiter-media

For local development, build and install from source:

python -m venv .venv
.venv\Scripts\activate        # Windows
python -m pip install --upgrade pip
python -m pip install --upgrade build twine
python -m build
python -m pip install dist/jupiter_media-0.1.0-py3-none-any.whl

Notes:

• ffmpeg is required on PATH for audio extraction.
• Optional/extra dependencies for different adapters may be documented in the README or package metadata.

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Usage (example)

Extract audio, transcribe, and export SRT:

from jupiter_media.core.audio_extractor import AudioExtractor
from jupiter_media.adapters.whisper_adapter import WhisperAdapter
from jupiter_media.exporters.srt_exporter import SRTExporter

AudioExtractor.extract("movie.mp4", "audio.wav")
adapter = WhisperAdapter()
timeline = adapter.transcribe("audio.wav")
srt = SRTExporter.export(timeline)
print(srt)

There are runnable examples in the examples/ folder:

• examples/transcribe_video.py
• examples/export_srt.py

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Testing

Run the test suite locally (tests are not included in distributions):

pytest

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Packaging & Release

See RELEASE.md for the release process. GitHub Actions handles pull-request checks and tagged publishes, so future updates can be shipped from GitHub with a version bump, tag, and release.

GitHub Workflow

1. Create a feature branch and open a pull request.
2. Merge to main after CI passes.
3. For a release, update the version in pyproject.toml and the changelog, then create and push a tag such as v0.1.1.
4. The tagged push publishes the package to PyPI and creates a GitHub release.

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Links

• Repository: https://github.com/Supan-Roy/Jupiter-Media-Pipeline
• Homepage: https://supanroy.com
• Changelog: CHANGELOG.md

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License

This project is licensed under the MIT License.

© 2026 Jupiter Sonic Labs — Author: Supan Roy ([e-mail])