Platforms: Even G2
Not yet publicHyperscribe
Live captions on your G2 glasses. Speech recognition stays on your own devices.
Availability
This project is not publicly available yet. You can explore the demo and project details, or contact me about it.
What it is
Hyperscribe transcribes speech, displays captions on Even G2 glasses and saves transcripts on the phone. After downloading the model, speech recognition works offline.
Captions that refine: words still being recognised are underlined and can change as more of the sentence arrives; settled words stay on the green lens.
Speech recognition runs on the phone, or on a computer you pair with Hyperscribe Companion. Transcripts are saved on the phone, and AI summaries go only to a provider you set up, only if you ask.
What it does
Works offline
After a one-time model download (about 80 to 210 MB), recognition runs on your phone. WebGPU is used when the phone supports it, with a safe fallback.
Many languages
English, Russian, German, French, Spanish, Italian, Portuguese, Chinese, Japanese, Korean, Ukrainian and Turkish, plus automatic detection.
Transcripts you keep
Pause, resume, save, copy and review on the phone. If saving is interrupted, you can retry or copy the text.
Faster with a computer
Pair Hyperscribe Companion to run a larger model on your computer’s GPU. If it drops out, the phone takes over and keeps your text.
Screens



What you need
- Even Realities G2 glasses with the Even app 2.2.10 or newer
- A phone with free space for the speech model (about 80 to 210 MB)
- Internet once, to download the model; not needed afterwards
- Optional: a computer with Hyperscribe Companion, and Tailscale
What’s new
1.0.0
First public release, coming soon
- Everything since the 0.x prototypes in one stable version, installed as a single .ehpk file.
- Smoother lens updates, a clearer connection status and a quicker reconnect to the Companion.
- Speech models come from pinned sources and are checked by size and SHA-256 before use.
0.1.0
- Live G2 captions with underlined, revisable phrases and settled text.
- Offline recognition on the phone after the model download, with WebGPU when available.
- Optional Companion on a computer, with encrypted Tailscale pairing and phone fallback.
- Local transcripts with pause, resume, save, copy and recovery checkpoints.
0.3–0.7
- Prototypes: on-device captions, Companion support, WebGPU, automatic language.
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