Lattice on your device
Lattice turns audio and video into transcripts on the computer in front of you.
On-device speech engine
Transcribe audio and video freely on your own computer, then review the result against an accurate timeline.

Developers · CLI & Skills
The CLI includes its own local speech runtime, so you can transcribe audio and video or connect scripts, MCP, and agents without opening the desktop app.
Install from Terminal on macOS or Linux, or from PowerShell on Windows. CPU works out of the box; Linux detects supported NVIDIA GPUs automatically, while Windows offers CUDA as an opt-in install.
macOS / Linux · Terminal
curl -fsSL https://edgespeak.com/install.sh | sh
Windows · PowerShell
irm https://edgespeak.com/install.ps1 | iex
EdgeSpeak Skills teach Claude Code, Cursor, and other Skills-capable agents to transcribe on-device through the CLI. Open source on GitHub.
npx skills add lattifai/EdgeSpeak
Fast on-device transcription
Drop in audio or video. EdgeSpeak handles transcription, timeline alignment, and transcript generation on this computer; when downstream tools need to continue, they can read the result from the local gateway.
Lattice turns audio and video into transcripts on the computer in front of you.
The transcript follows playback, so correction happens in one workspace instead of across tools.
Export text or subtitles, or let another tool continue from the finished transcript.
Dedicated on-device model
Lattice-2 is compressed and optimized for on-device inference, so an everyday computer can transcribe audio and video efficiently.
The speech AI model is shaped for desktop execution, reducing wait time while local transcription avoids external service dependencies.
Flash is tuned for everyday audio and video transcription. Pro targets harder audio, more complex accents, and a higher accuracy ceiling while using more local resources.
Lattice-2 supports 40+ languages, multiple English accents, and Chinese dialects; the same local engine is available to CLI tools, agents, and automation through the gateway.
LOCAL LM + VLM · 0.6B — 27B
EdgeSpeak now ships Qwen and Gemma models from 0.6B to 27B. One model loads at a time and sleeps when idle.
Generate with a local modelQwen/Qwen3-0.6B0.6B0.4 GBQwen/Qwen3.5-0.8B0.8B0.5 GBQwen/Qwen3.5-2B2B1.3 GBgoogle/gemma-4-E2B-it2B3.1 GBQwen/Qwen3.5-4BDefault4B2.7 GBgoogle/gemma-4-E4B-it4B5.0 GBQwen/Qwen3.5-9B9B5.7 GBgoogle/gemma-4-12B-it12B7.1 GBQwen/Qwen3.6-27B27B16.8 GBText + images · OpenAI-compatible · local-first
Real desktop app
Import audio or video, choose a local model, and export the result. For automation, hand work to CLI tools or agents through the local gateway.



Workflows
Private transcription, desktop review, agent access, and local-versus-cloud guidance.
Keep source media on-device and generate the transcript locally.
Review with playback, then export text or subtitles.
Install the EdgeSpeak Skill and let agents call the local CLI.
Choose by media location, processing scale, and integration path.
Privacy
EdgeSpeak is designed so imported media and generated transcripts stay on your device unless you export, upload, or share them.
The speech AI model is shaped for desktop execution, reducing wait time while local transcription avoids external service dependencies.
Export text or subtitles, or let another tool continue from the finished transcript.
Local speech gateway
EdgeSpeak provides a local, OpenAI-compatible speech API, so CLI tools, agents, and automations can transcribe on the same computer. It is not another cloud. It is your computer's speech gateway.
POST /v1/audio/transcriptionslocalhost:1117curl http://127.0.0.1:1117/v1/audio/transcriptions \ -H "Authorization: Bearer sk-edgespeak-..." \ -F file=@meeting.m4a \ -F model="lattice-2-flash"
Choose by workflow
The right option depends on where media can go, how much workflow you want ready-made, and who should maintain the speech stack.
| Choose by workflow | EdgeSpeak | Cloud transcription | Self-managed local model |
|---|---|---|---|
| Source media | Stays on this device | Uploaded to a remote service | Stays on the machine you configure |
| Review workflow | Desktop playback, transcript, and export | Depends on the provider | You build the review surface |
| Tools and agents | Local CLI and OpenAI-compatible gateway | Hosted API | You build and maintain the integration |
| Operations | Install the app and local models | Manage an account, API keys, and network access | Maintain the runtime, models, and dependencies |
Early bird
The current release includes local audio and video transcription, the local gateway, and CLI access. Buy once and keep receiving future model and speech-capability updates.
Early bird is $49; regular price is $99. Lifetime access, one-time purchase during early bird.
For more devices or team purchases: sales@edgespeak.com
Download
Choose the current macOS build or open the Windows Beta page for the x64 installer and verified setup instructions.
Use the available desktop build today. Your account keeps purchase, license, and device management in one place.
Download the Windows x64 Beta, verify its SHA-256, and follow the installation guide. This Beta uses manual updates.
Sign in with the email used for purchase, then manage your license key and activated devices from your account.
FAQ
On-device processing, supported platforms, models, and the lifetime license — answered before you buy.
See all questionsImported media and generated transcripts stay on your device unless you export, upload, or share them yourself.
EdgeSpeak is available for Apple Silicon Macs with macOS 14.0 or later. A Windows 10/11 x64 Beta is also available for manual installation; Windows in-app updates are not enabled yet.
The early-bird lifetime license is a one-time purchase for permanent use, future model and speech-capability updates, and up to four activated devices.
Flash is tuned for faster everyday transcription. Pro raises the accuracy ceiling for harder audio and uses more local resources.
Yes. The bundled CLI and local OpenAI-compatible gateway let trusted tools on the same computer call the local speech engine.
Community feedback
Share real workflows, agent integration needs, and product ideas on Discord.
Your feedback goes directly into the product.
On-device speech engine
Transcribe locally, review against an accurate timeline, then export or continue through the local gateway.