DEDUPEDWho it is forGame or video maker who downloaded several candidate sound effects and needs to pick one
The problemChoosing among many similar files by ear is slow, and long recordings hide the one good hit.
The outcomeA ranked list of files for your description, plus start and end seconds for the best moment in a long file.
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
- Run
earshot rank QUERY PATHS...with a text description and your candidate files. - Run
earshot find keys.ogg "a single mechanical key press" --top 4on a long file to get trim points. - Check a top pick with
earshot match key.ogg "a deep thocky mechanical keyboard press" --alts "a clicky blue switch keyboard" "a mouse click". - Trim the file at the returned start and end seconds.
Prompt for your agent
Use earshot rank to order the files in <folder> by <description>, then run earshot find on the top file to give me trim start and end seconds. Verify the top pick with earshot match against two alternative descriptions.
Caveat. Matching quality depends on the built-in vocabulary of 322 descriptions, so unusual sounds may rank loosely.
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.
- Get a written description of any audio file Turn a sound file into plain words, tags and measurements an agent can reason about.
- 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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