Audio
librosa
Python library for audio and music analysis
★ 8.6k starsISC
View guide →利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
MoneyPrinterTurbo is an open-source audio project by harry0703 (harry0703/MoneyPrinterTurbo on GitHub). It has 128,253 GitHub stars and 20,064 forks, is released under the MIT license, and was last updated on GitHub on 3 October 2026.
Transcription, synthesis, voice changing, or editing — each tool here majors in one.
Binaries, pip packages, or Docker; models download on first run for AI tools.
Drop in a recording or type what you want spoken.
WAV/MP3/OGG outputs drop straight into editors or apps.
Large language models drive its smartest features, locally or via API.
Built on Python, so it plugs into the wider data and ML tooling ecosystem.
Open licenses let you ship voice features without per-minute API bills.
CLI and Python APIs slot into larger pipelines.
Dozens of languages supported, not just English.
Streaming transcription and TTS for live applications.
Download the source and move into the project folder.
git clone https://github.com/harry0703/MoneyPrinterTurbo.git
cd MoneyPrinterTurboEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at harry0703/MoneyPrinterTurbo with 20,064 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Check each license — many allow it, but voice-cloning has ethical and legal boundaries.
Whisper-class models rival paid services on clear audio; noisy recordings need cleanup first.
Dozens; English is strongest, major world languages are solid.
Python library for audio and music analysis
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Free and open — grab the source, star the repo, and start creating.