llm.c
by Andrej Karpathy
Andrej Karpathy's bare-metal C training code — reference for compact ASR.
Looking at llm.c? Try this first.
Drop your audio. Transcript in seconds. First transcript free, then $4 = 300 min
TL;DR
Best for studying minimal training loops adaptable to small speech models. Pricing: free.
Category
Open source
License
MIT
Stars
★ 30.8k
Last push
2025-06-26
Pricing
free
Platforms
Linux, macOS
What it is
A from-scratch C training loop. MIT.
Best for: Studying minimal training loops adaptable to small speech models.
Watch out for: Not an ASR engine.
Watch out for: Not an ASR engine.
Install / use
git clone https://github.com/karpathy/llm.c
Features
| Speaker diarization | No |
| Word-level timestamps | Yes |
| Streaming / real-time | No |
| Languages supported | 1 |
| HIPAA eligible | No |
Links
llm.c vs Whipscribe
| Feature | llm.c | Whipscribe |
|---|---|---|
| Category | Open source | Transcription APIs |
| Pricing | free | $4–$24 one-time packs (credits never expire) · $2 single unlock · 60 min free on signup |
| Speaker diarization | No | Yes |
| Word timestamps | Yes | Yes |
| Streaming | No | No |
| Languages | 1 | 99 |
| Platforms | Linux, macOS | Web, API, MCP |
Alternatives to llm.c
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.