The Engine
Performance. Quantized.Beyond Wrappers
C0vibe isn't just another API wrapper. It's a ground-up re-engineering of the audio transcription pipeline. It combines local and cloud transcription paths, dictionary correction, and optional local intelligence.
The Streaming Pipeline
Optimization Layer
TensorRT Acceleration
Models can be compiled to TensorRT engines, unlocking GPU-specific optimizations such as kernel fusion and precision calibration.
Speculative Decoding
Using a smaller "draft" model to predict tokens and a larger "target" model to verify them can reduce wait time without changing the editing workflow.
WebWorker Parallelization
Non-blocking main thread. Audio processing, VAD, and correction logic run in dedicated worker pools for buttery smooth UI.
Accuracy Engine
Dictionary Trie
Custom prefix tree implementation for domain vocabulary lookup. Medical, legal, and code terms stay close to the transcription path.
Logit Biasing
We inject domain-specific terms (Medical, Legal, Code) directly into the model's beam search, forcing it to prefer correct terminology.
Cascade Correction
Progressive quality checks: regex, dictionary, fast LLM, and deep LLM paths. Heavier models are reserved for low-confidence text.
Local Intelligence
Privacy isn't an afterthought. It's the architecture. C0vibe integrates llama.cpp to run state-of-the-art open models directly on your hardware.
