DEDUPEDWho it is forFounder or motion designer finishing a launch video and unsure if the mix is up to standard
The problemThere is no objective way to know if the soundtrack is too quiet, too thin or late compared to professional launch films.
The outcomeA verdict with scored metrics and a numbered list of timestamped fixes, worst first.
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
- Export your film as a video file with audio.
- Run
earshot critique film.mp4on it. - Read the VERDICT and the FIX FIRST list.
- Apply the top fixes in your audio code or editor, then run the critique again.
Prompt for your agent
Run earshot critique on <film.mp4> and summarize the verdict and the top three timestamped fixes. Verify by re-running critique after the changes and comparing how many metrics are in range.
Caveat. The scorecard compares against a profile of 7 professional launch films, so it suits launch and promo styles, not every genre.
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.
- Get a written description of any audio file Turn a sound file into plain words, tags and measurements an agent can reason about.
- 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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