# Google Cloud Speech-to-Text Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/google-cloud-speech-to-text
> Markdown URL: https://aitinkerers.org/technologies/google-cloud-speech-to-text.md
> Technology record last updated: 2026-03-04T16:47:03Z
> Generated: 2026-09-20T18:48:03Z

Google Cloud Speech-to-Text delivers high-accuracy transcription: convert audio to text via API, supporting over 125 languages and variants.

This is your engine for converting spoken audio to text, leveraging Google’s advanced AI, including the Chirp 3 foundation model. The service offers three primary recognition methods: Synchronous (for audio under 1 minute), Asynchronous (for files up to 480 minutes), and Streaming (for real-time applications). We support over 125 languages and dialects globally. Integrate the API for robust features like speaker diarization, automatic punctuation, and custom model adaptation to boost accuracy for domain-specific vocabulary.

- Official technology site: https://cloud.google.com/speech-to-text
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [UzbekVoice](https://tashkent.aitinkerers.org/talks/rsvp_7WmwgOqtMgg)

UzbekVoiceAI is an innovative company specializing in speech processing and artificial intelligence solutions for the Uzbek-speaking audience. Our mission is to deliver high-quality speech recognition (STT) and text-to-speech (TTS) technologies for the Uzbek language, enhancing user interaction with digital devices and services. We develop solutions for speech-to-text conversion, text-to-speech synthesis, and large language models (LLMs) tailored to the unique features of the Uzbek language.

- Event context: AI Tinkerers - Tashkent Inaugural Meetup (October) — 2024-10-31 — Tashkent
- Public talk page: https://tashkent.aitinkerers.org/talks/rsvp_7WmwgOqtMgg

### [YT shorts finder](https://austin.aitinkerers.org/talks/rsvp_TpbSnDWuX0s)

A way to extract meaning from youtube shorts and search over your personalized database of them, using a mix of vision models, speech transcription models, and general purpose LLMs

- Event context: Community AI Demos - September Edition — 2024-09-12 — Austin
- Public talk page: https://austin.aitinkerers.org/talks/rsvp_TpbSnDWuX0s

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