Who it is forBuilder with a folder of unlabeled sound files who needs to know what each one actually sounds like
The problemAn agent cannot open a .wav or .ogg and tell what it is, how long it rings or how bright it is.
The outcomeA short text reading with calibrated tags, closest alternative readings and numbers like peak level and brightness.
What you need first
- Python
- CPU only, no GPU needed
- Local models load on first call (about 20 to 40 seconds per CLI call)
- No account or paid key for core features
- Optional Gemini key only for the `llm` command
- Reference recordings for `forge --refset` are not in the repo; bring your own with `--refs DIR`
Steps
- Install earshot and run
earshot doctor. - Run
earshot describe enter.ogg(swap in your file). - Add
--jsonif the agent needs the full structured result, or--out f.jsonto save it. - Use the description to label or sort the file in your project.
Prompt for your agent
Use earshot to describe every audio file in <folder> and write a one-line label per file from the tags. Verify one label by listening or by running `earshot match` on it.
Caveat. Tags are model readings with a confidence score (z), so treat low-confidence results as hints, not facts.
About earshot
Gives coding agents ears: they can listen to audio, review it and generate sound. Runs on a plain CPU and is open source. View Leonxlnx/earshot on GitHub.
More with earshot
- Synthesize a new sound in code and refine it by ear Let the agent write a sound recipe, then have a critic score and improve it against real references.
- Pick the best sound from a pile of downloads Rank candidate files against a text description and trim the best moment from a long recording.
- Score a launch film's audio against pro launch films Run a scorecard that lists timestamped fixes for your film's soundtrack and mix.
- Turn a recording into code you can vary Fit a recording to a small synthesis model and get a Python recipe you can tweak or morph.
- Build a sound kit for a code-made film Pick one sound per role from a bank of 201 effects and render them with measured sync points.
- Give Claude Code ears with the MCP server Run earshot as an MCP server so your agent can listen without reloading models each call.
- Check that sound hits land on your video cuts Get a second-by-second listening transcript of a film and see if hits match the picture cuts.
- Tell a real recording from a code-made sound Score files for realness and compare them to reference recordings or each other.
Disclaimer
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