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Media / Audio & Video AI
ROLE // SYSTEMS ENGINEER & AI PIPELINE ARCHITECT

theflate

Instant media compression, multi-platform media downloader, and local OpenAI Whisper Large-v3 transcription.

RustGlideAPIFFmpegWhisper Large-v3Next.js 16SQLiteLocal AI
the problem

Video compression and speech-to-text transcription typically demand expensive cloud APIs that compromise privacy and incur massive egress and model inference bills.

the solution

Engineered an edge media engine pairing a Rust backend (GlideAPI) with an automated multithreaded FFmpeg pipeline and an embedded OpenAI Whisper Large-v3 quantization engine running entirely on local CPU/GPU hardware.

the system

GlideAPI Rust server streaming raw audio and video buffers directly through FFmpeg sub-processes and local Whisper neural network pipelines, managed by Next.js 16 and SQLite persistence.

the hard part

Threaded FFmpeg streaming pipeline coupled with local OpenAI Whisper Large-v3 neural transcription on raw audio memory buffers; zero external network calls.

why this stack

Rust memory safety and GlideAPI streaming pipelines ensure zero buffer corruption when multiplexing high-bitrate video streams and large audio tensors.

the innovation

High-throughput media compression and speech-to-text transcription with complete data privacy and zero per-minute cloud API fees.

the potential

Self-hosted media workflow and transcription workstation for creators and privacy-first enterprises.

next system
GlideAPI