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Download README.md from scribekey/README: direct link, hf CLI and curl.
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https://huggingface.co/spaces/scribekey/README/resolve/main/README.md
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curl -L -o README.md https://huggingface.co/spaces/scribekey/README/resolve/main/README.md
3.34 kB
| title: README | |
| emoji: 🎙️ | |
| colorFrom: indigo | |
| colorTo: blue | |
| sdk: static | |
| pinned: false | |
| # ScribeKey | |
| **Privacy-first voice input, starting on Android.** ScribeKey sits beside the keyboard you already use: tap the bubble, speak, and tidy text lands at your cursor. Speech stays on the phone by default, works offline, and needs no account. We're a bootstrapped Australian startup. | |
| [Website](https://scribekey.app) · [Join the Android test](https://scribekey.app/testers) · [Privacy](https://scribekey.app/privacy) · [GitHub](https://github.com/scribekey-app) | |
| ## What we publish here | |
| Everything the app downloads to run speech and cleanup on a phone. | |
| ### ✨ Transcript cleanup | |
| Small text models that turn raw dictation into finished text: they drop fillers and repeats, apply spoken self-corrections, write numbers, times and money properly, and punctuate lists. Text in, text out. They clean up what you said; they never answer it. | |
| > *"send the draft to alex i mean jordan before lunch"* → **Send the draft to Jordan before lunch.** | |
| | Model | Use | Format | | |
| |---|---|---| | |
| | [ScribeKey Fast](https://huggingface.co/scribekey/scribekey-cleanup-fast) | Current cleanup model, v1.1 (350M, LFM2.5) | BF16 · Transformers | | |
| | [ScribeKey Fast GGUF](https://huggingface.co/scribekey/scribekey-cleanup-fast-GGUF) | The on-device build ScribeKey ships | Q8_0 · llama.cpp | | |
| | [Sotto 350M, ScribeKey tune](https://huggingface.co/scribekey/sotto-scribekey-350m-gguf) | Earlier tune, superseded by ScribeKey Fast | GGUF | | |
| | [Sotto Cleanup 350M](https://huggingface.co/scribekey/sotto-cleanup-350m-gguf) | Quantised upstream Sotto | GGUF | | |
| ### 🎧 Speech recognition mirrors | |
| Pinned, byte-identical copies of [sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx) speech models, so the app's downloads don't depend on one account. All credit goes to the original authors; each card links the upstream source and licence. | |
| - **Moonshine** [Tiny](https://huggingface.co/scribekey/sherpa-onnx-moonshine-tiny-en-quantized-2026-02-27) · [Base](https://huggingface.co/scribekey/sherpa-onnx-moonshine-base-en-quantized-2026-02-27): small, fast English | |
| - **Parakeet** [TDT-CTC 110M](https://huggingface.co/scribekey/sherpa-onnx-nemo-parakeet_tdt_ctc_110m-en-36000) · [Unified 0.6B](https://huggingface.co/scribekey/sherpa-onnx-nemo-parakeet-unified-en-0.6b-int8-non-streaming): higher-accuracy English | |
| - **Canary 180M Flash** [EN/ES/DE/FR](https://huggingface.co/scribekey/sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8): multilingual | |
| - **Zipformer** [Streaming EN](https://huggingface.co/scribekey/sherpa-onnx-streaming-zipformer-en-2023-06-21): live words as you speak | |
| ## Open tooling | |
| - [scribekey-models](https://github.com/scribekey-app/scribekey-models): the open catalogue and distribution tooling behind these downloads | |
| - [scribekey-skills](https://github.com/scribekey-app/scribekey-skills): rewrite Skills (email, notes, to-do list) | |
| ## Thanks | |
| Built on [Sotto](https://huggingface.co/juanquivilla/sotto-cleanup-lfm25-350m) by juanquivilla, [Liquid AI's LFM2.5](https://huggingface.co/LiquidAI/LFM2.5-350M-Base), and the speech work of Useful Sensors, NVIDIA and the k2-fsa / sherpa-onnx project. | |
| **Contact:** [founder@scribekey.app](mailto:founder@scribekey.app) · [support@scribekey.app](mailto:support@scribekey.app) | |