Moonshine (project mirror)
Don’t want to install Moonshine? Drop the file here.
The first 20 minutes of any recording are transcribed free: a recording up to 20 minutes transcribes in full, a longer one is previewed, and a pack from $6 (500 minutes) transcribes the rest and opens every export, and credits never expire.
Mirror of Useful Sensors' Moonshine releases.
Best for tracking the moonshine release stream. Pricing: free.
What it is
Project mirror of Moonshine. MIT.
Watch out for: See the usefulsensors/moonshine entry — same models.
Install / use
pip install useful-moonshine
What people actually do with Moonshine (project mirror)-style transcription
The tool is the means. These are the jobs — each one priced at published rates, each one wired up on its own page.
Features
| Speaker diarization | No |
| Word-level timestamps | Yes |
| Streaming / real-time | Yes |
| Languages supported | 1 |
| HIPAA eligible | No |
Links
Moonshine (project mirror) vs Whipscribe
| Feature | Moonshine (project mirror) | Whipscribe |
|---|---|---|
| Category | Open source | Transcription APIs |
| Pricing | free | $6–$24 one-time packs (credits never expire) · first 20 minutes free |
| Speaker identification | No | Named in the summary, key quotes and chapters |
| Word timestamps | Yes | Yes |
| Streaming | Yes | No |
| Languages | 1 | 99 |
| Platforms | Linux, macOS, Windows | Web, API, MCP |
Alternatives to Moonshine (project mirror)
Frequently asked about Moonshine (project mirror)
Is Moonshine (project mirror) free?
Yes. Moonshine (project mirror) is free and open source.
Does Moonshine (project mirror) work on Mac, Windows and Linux?
Moonshine (project mirror) runs on Linux, macOS and Windows.
How do I install Moonshine (project mirror)?
With pip: `pip install useful-moonshine`. You need Python and, for most audio tools, ffmpeg on your PATH first.
How many languages does Moonshine (project mirror) support?
Moonshine (project mirror) lists 1 languages.
Does Moonshine (project mirror) identify different speakers?
No. Moonshine (project mirror) does not label speakers; a conversation comes back as one continuous text. If you need speaker labels, that is a separate tool or a different service.
Does Moonshine (project mirror) give word-level timestamps?
Yes — Moonshine (project mirror) produces timing per word, which is what subtitle cues and clip boundaries need.
Can Moonshine (project mirror) transcribe live audio?
Yes — Moonshine (project mirror) supports streaming / live input, not just finished files.
Is Moonshine (project mirror) HIPAA compliant?
Moonshine (project mirror) does not claim HIPAA compliance. For PHI, run it on infrastructure you control or choose a service that will sign a BAA.
What are the limitations of Moonshine (project mirror)?
See the usefulsensors/moonshine entry — same models.
Who is Moonshine (project mirror) best for?
Tracking the moonshine release stream.
Does Moonshine (project mirror) run offline?
Moonshine (project mirror) runs on your own machine — it is open source, so nothing leaves the computer unless you configure it to.
Can I use Moonshine (project mirror) in the browser?
No — Moonshine (project mirror) is a Linux, macOS and Windows application, not a web app. You install it rather than sign in to it.
Where is the Moonshine (project mirror) source code?
On GitHub at github.com/moonshine-ai/moonshine. It is maintained by Moonshine AI.
What kind of tool is Moonshine (project mirror)?
In this directory Moonshine (project mirror) is filed under edge, mobile, oss engine as a open-source tool.
What are the alternatives to Moonshine (project mirror)?
There is a side-by-side page at /tools/moonshine-mirror-alternatives comparing Moonshine (project mirror) with the closest tools in the same category on price, platform and features.
Whipscribe is a hosted transcription service. If you want transcripts without running infrastructure, paste a URL or drop a file in the form below — you'll have a transcript in seconds.
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Long recording to get through?
One file up to 10 hours, as an upload or a link: see MP3 to text for long recordings, transcribing a podcast episode and the SRT file generator.
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