FileEaters
FileEaters is a macOS application that automates the naming, organization, and delivery of audio stems for music professionals. Using ethically-trained, non-generative AI that never trains on user data, it identifies instruments, applies user-defined naming specs, and exports delivery-ready session folders. The tool integrates with cloud storage and embeds metadata to prevent delivery rejections and version confusion.
- Artificial Intelligence
- Creator / Creative Economy
- Music Technology
- Software Only
Funding
Founders
Product
Problem
Music producers, studios, and labels waste significant time manually naming, organizing, and delivering audio stems, often facing rejected deliveries due to incorrect file specs, inconsistent folder structures, and missing metadata. This manual cleanup and back-and-forth with collaborators slows turnaround and distracts from the creative process.
Solution
FileEaters provides a macOS application that automates the entire audio session preparation workflow using ethical, non-generative AI. Users simply drag and drop finished stems, and the software instantly recognizes instruments and track types, names files exactly to user specifications, organizes everything into delivery-ready folders, and embeds metadata to protect work. The application exports sessions to spec automatically and securely uploads the final project package to a chosen destination such as Google Drive or Dropbox. FileEaters processes files locally or on secure temporary servers and never uses user content to train AI models, ensuring data privacy and ownership.
Target Audience
Primary users are music producers, recording studios, record labels, gaming companies, audio educators, and other audio professionals who need to deliver consistently organized, correctly named session files to clients and collaborators.
Features
- Advanced non-generative AI that identifies individual instruments and track types within printed audio stems
- Customizable file-naming templates that apply user-defined specifications consistently across every session
- Automatic folder structuring and organization into delivery-ready project packages
- Metadata embedding to protect intellectual property and ensure proper attribution
- One-click export to spec and secure upload to integrated cloud storage services including Google Drive and Dropbox
- Works with any printed audio file format with no compatibility issues
- Ethical AI approach that guarantees user audio data is never used for model training or incorporated into datasets