Earshot
What is Earshot?
Earshot provides audio analysis and generation tools designed for AI coding agents. It converts sound files into structured data that agents can reason about, including word-based descriptions, confidence scores, and precise measurements. The system evaluates how closely audio matches text prompts, identifies optimal segments in long recordings, and compares outputs against professional benchmarks.
The platform includes several command-line tools and APIs. Agents can describe files, match them against queries, rank candidates, find specific moments, and critique entire films. Earshot also generates sound effects directly through code and translates existing recordings into modifiable sequences. All processing happens locally on a CPU without requiring network access or external models.
The project is released under an MIT license and exposes functionality through a CLI, a Python API, and an MCP server. It currently ships with a library of over two hundred synthesized sound effects tailored for software launches and product demos.
Earshot features
- Describes audio files using calibrated tags and acoustic measurements
- Matches sound clips against text queries with confidence scoring
- Locates precise timestamps within lengthy audio recordings
- Critiques video projects against professional audio standards
- Generates sound effects programmatically through code
- Translates recorded audio into editable code sequences
- Operates entirely on CPU without network or GPU requirements
Who uses Earshot and for what
- Allow AI coding agents to evaluate and refine generated sound effects
- Automatically identify specific audio events in long project recordings
- Compare synthesized audio against professional launch film benchmarks
- Convert recorded sound effects into modifiable code sequences
- Build automated audio quality checks for software product demos
Earshot FAQ
Is Earshot free?
Yes, Earshot is available under an MIT license and can be downloaded and used at no cost.
Does Earshot require a GPU?
No, the tool runs entirely on CPU and processes audio locally without specialized hardware.
What is Earshot used for?
It provides audio analysis, matching, and generation capabilities specifically built for AI coding agents.
Is Earshot open source?
Yes, the source code is publicly available on GitHub under the MIT license.
Does Earshot work on Mac?
The documentation confirms it runs locally via a CLI and Python API. The website does not specify exact operating system compatibility.
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