# OpenAI Whisper Small Projects at AI Tinkerers

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> Technology record last updated: 2026-02-25T05:48:43Z
> Generated: 2026-09-21T10:47:24Z

A 244-million parameter speech recognition model balancing high-speed transcription with robust accuracy across 99 languages.

Whisper Small hits the efficiency sweet spot for production-grade speech-to-text. It utilizes a Transformer sequence-to-sequence architecture trained on 680,000 hours of supervised data. While the Large-v3 model targets maximum precision, the Small variant processes audio roughly 6x faster on standard GPUs (like the NVIDIA T4) without a significant drop in reliability. It is the primary choice for developers building low-latency tools: live captioning, rapid indexing, and real-time translation pipelines.

- Official technology site: https://github.com/openai/whisper
- Public AI Tinkerers demos and talks: 0
- Result page: 1 of 1

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