On-device speech engine

Put a speech AI model on your computer

Transcribe audio and video freely on your own computer, then review the result against an accurate timeline.

  • Local audio/video transcription today
  • Local gateway and CLI today
  • Future model and speech capability updates
Transcript preview
Transcript previewlocal-transcribe.mov

Developers · CLI & Skills

Install EdgeSpeak CLI

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 · Apple SiliconWindows x64 · CPU / CUDALinux x86_64 · CPU / CUDA
Read the CLI docs

macOS / Linux · Terminal

curl -fsSL https://edgespeak.com/install.sh | sh

Windows · PowerShell

irm https://edgespeak.com/install.ps1 | iex
edgespeak-cli login
edgespeak-cli transcribe media.mp4 -o media.srt
edgespeak-cli generate "Summarize this transcript" --model Qwen/Qwen3.5-4B

Agent Skills, same engine

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

Import audio or video and transcribe it locally with high accuracy

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.

  1. Lattice on your device

    Lattice turns audio and video into transcripts on the computer in front of you.

  2. Review while listening

    The transcript follows playback, so correction happens in one workspace instead of across tools.

  3. Results keep moving

    Export text or subtitles, or let another tool continue from the finished transcript.

Dedicated on-device model

Lattice-2, built for the desktop

Lattice-2 is compressed and optimized for on-device inference, so an everyday computer can transcribe audio and video efficiently.

On-device compression and inference tuning

The speech AI model is shaped for desktop execution, reducing wait time while local transcription avoids external service dependencies.

Flash / Pro model pairing

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.

Built into developer workflows

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

Local language and vision, in the same EdgeSpeak runtime.

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 model
Qwen/Qwen3-0.6B0.6B0.4 GB
Qwen/Qwen3.5-0.8B0.8B0.5 GB
Qwen/Qwen3.5-2B2B1.3 GB
google/gemma-4-E2B-it2B3.1 GB
Qwen/Qwen3.5-4BDefault4B2.7 GB
google/gemma-4-E4B-it4B5.0 GB
Qwen/Qwen3.5-9B9B5.7 GB
google/gemma-4-12B-it12B7.1 GB
Qwen/Qwen3.6-27B27B16.8 GB

Text + images · OpenAI-compatible · local-first

Real desktop app

EdgeSpeak runs right on your computer

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.

Audio, video, and transcripts in one workspacePlayback, timeline, transcript, export, recent files, and the active local model stay together, so you switch tools less and keep more context.
EdgeSpeak desktop Transcribe screen showing the transcription workspace, local model status, transcript content, playback controls, and recent files.
Choose the right model in EdgeSpeakEdgeSpeak local models support 40+ languages, multiple English accents, and Chinese dialects. Flash is fast and strong; Pro is more accurate and uses more local resources.
EdgeSpeak desktop Models screen showing local EdgeSpeak Flash and EdgeSpeak Pro options.
Let other tools use EdgeSpeakCLI tools, agents, and automation can send audio to EdgeSpeak and receive the transcript back locally.
EdgeSpeak desktop Gateway screen showing how tools on the same computer can use the local speech engine.

Privacy

Local-first speech processing.

EdgeSpeak is designed so imported media and generated transcripts stay on your device unless you export, upload, or share them.

On-device compression and inference tuning

The speech AI model is shaped for desktop execution, reducing wait time while local transcription avoids external service dependencies.

Results keep moving

Export text or subtitles, or let another tool continue from the finished transcript.

Local speech gateway

Let agents call EdgeSpeak directly

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.

Local OpenAI-compatible endpointCLI / agents / automationEdgeSpeak Flash and Pro
POST /v1/audio/transcriptionslocalhost:1117
curl 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

Local software, cloud APIs, or a model you maintain

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 workflowEdgeSpeakCloud transcriptionSelf-managed local model
Source mediaStays on this deviceUploaded to a remote serviceStays on the machine you configure
Review workflowDesktop playback, transcript, and exportDepends on the providerYou build the review surface
Tools and agentsLocal CLI and OpenAI-compatible gatewayHosted APIYou build and maintain the integration
OperationsInstall the app and local modelsManage an account, API keys, and network accessMaintain the runtime, models, and dependencies
Read the full comparison

Early bird

Get EdgeSpeak for life at $49

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.

Download

Download EdgeSpeak.

Choose the current macOS build or open the Windows Beta page for the x64 installer and verified setup instructions.

Current macOS build

Use the available desktop build today. Your account keeps purchase, license, and device management in one place.

Windows build

Download the Windows x64 Beta, verify its SHA-256, and follow the installation guide. This Beta uses manual updates.

License and devices

Sign in with the email used for purchase, then manage your license key and activated devices from your account.

FAQ

Frequently asked questions

On-device processing, supported platforms, models, and the lifetime license — answered before you buy.

See all questions
01Does EdgeSpeak upload source media?

Imported media and generated transcripts stay on your device unless you export, upload, or share them yourself.

02Which desktop platforms are available?

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.

03What does the lifetime license include?

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.

04What is the difference between Flash and Pro?

Flash is tuned for faster everyday transcription. Pro raises the accuracy ceiling for harder audio and uses more local resources.

05Can CLI tools and AI agents use EdgeSpeak?

Yes. The bundled CLI and local OpenAI-compatible gateway let trusted tools on the same computer call the local speech engine.

Community feedback

Shape EdgeSpeak with real workflows

Share real workflows, agent integration needs, and product ideas on Discord.

  • Real workflows
  • Agent / API
  • Product ideas

Your feedback goes directly into the product.

On-device speech engine

Put a speech AI model on your computer

Transcribe locally, review against an accurate timeline, then export or continue through the local gateway.

Download macOS