Developer infrastructure for audio provenance and verification
- In a Nutshell: Fusion provides cryptographically verifiable proof of audio origin—whether AI-generated, artist-created, or platform-uploaded. It is built for platforms, AI companies, and creators.
In the post-AI internet, audio is no longer trustworthy by default:
- AI voice models can generate indistinguishable synthetic speech
- Platforms struggle to detect deepfakes and impersonation
- Artists lack reliable ways to prove authorship of original audio
- Regulators increasingly demand transparency around AI-generated media
Fusion creates trust in audio at the infrastructure level.
Fusion establishes an end-to-end audio provenance lifecycle:
- Cryptographically embeds provenance metadata into audio at creation time
- Enables later detection and verification of that provenance
- Produces confidence scores and audit logs for compliance and moderation
Trust is written into the audio itself—and can be verified anywhere downstream.
Star this repository to get notified when the public beta launches.
Planned usage will look like:
from fusion import FusionVerifier
verifier = FusionVerifier(api_key="your_api_key")
result = verifier.verify("audio_file.mp3")
print(f"Origin: {result.origin}")
print(f"Confidence: {result.confidence_score}")
print(f"Created at: {result.timestamp}")External contributions are not open yet, but will be welcomed in a future release. Contribution guidelines will be published before the public beta.
- December 2023 — Project initiated as an AI audio player experiment
- July 2024 — Beta site launched
- January 2025 — Stepped back from the original direction
- November 2025 — Project direction redefined
- December 2025 — Fusion v2 development begins
- December 2025 — Fusion project insider preview launched
- Q1 2026 — Public beta launch (planned)
- Q2 2026 — Public Preview Final
- Q3 2026 — Platform integrations and enterprise pilots
- Q4 2026 — Market expansion and ecosystem growth