MLC-LLM
by MLC AI
Compile + deploy LLMs (and Whisper) to phones / browsers / WebGPU.
TL;DR
Compile + deploy LLMs (and Whisper) to phones / browsers / WebGPU.
Best for cross-platform deployment of small Whisper models via TVM. Pricing: free.
Category
Open source
License
—
Stars
—
Last push
—
Pricing
free
Platforms
Linux, macOS, Windows, Android, iOS, Web
What it is
A universal LLM deployment framework via TVM Unity. Apache-2.0.
Best for: Cross-platform deployment of small Whisper models via TVM.
Watch out for: ASR support newer than text; quantization config heavy.
Watch out for: ASR support newer than text; quantization config heavy.
Install / use
pip install mlc-llm
Features
| Speaker diarization | No |
| Word-level timestamps | Yes |
| Streaming / real-time | No |
| Languages supported | 99 |
| HIPAA eligible | No |
MLC-LLM vs Whipscribe
| Feature | MLC-LLM | Whipscribe |
|---|---|---|
| Category | Open source | Transcription APIs |
| Pricing | free | free beta |
| Speaker diarization | No | Yes |
| Word timestamps | Yes | Yes |
| Streaming | No | No |
| Languages | 99 | 99 |
| Platforms | Linux, macOS, Windows, Android, iOS, Web | Web, API, MCP |
Alternatives to MLC-LLM
Whipscribe is a managed faster-whisper + whisperX service. If you want transcripts without running infrastructure, paste a URL or drop a file in the form below — you'll have a transcript in seconds.