Electron desktop apps · Real-time video, audio & AI

Electron Desktop Apps with Real-Time Video, Audio & AI

We build the desktop apps a browser tab can’t: live video, sub-30ms audio, screen share, and on-the-fly AI — on Windows and macOS. Electron gives us the same WebRTC engine Chrome runs, plus the native system access (cameras, system audio, FFmpeg, virtual cameras) only a real desktop app gets. First working build in –4 weeks, from $10K.

20+ yrsBuilding real-time video & audio apps since 2005
250+Products shipped
<30msLive-music audio latency on a desktop app we built (TYXIT)
100%Job-success score on Upwork

Who we build for

Live streaming & broadcastMusic & audio collaborationTrading & fintech desktopsTelehealth & clinicalSurveillance & operationsCreator & VTuber toolsAI agents & copilots

The build decision

Browser tab, off-the-shelf app, native code, or a custom Electron build — how to ship real-time video and AI on the desktop

There are four ways to put real-time video or AI on a desktop. A browser tab or PWA ships fast but can’t reach system audio, virtual cameras, or background capture, and gets killed when the tab closes. An off-the-shelf SDK app (a white-label video tool) is quick but locks you into one vendor’s features and brand. A native build (Qt/C++, Swift) gives full control but doubles the work — one codebase per OS — and is slow to change. A custom Electron build ships one codebase to Windows and macOS, runs Chrome’s WebRTC engine for real-time media, and reaches the native APIs a browser can’t — which is why most real-time video/AI desktop apps are built on it. Here’s the honest trade-off.

Browser tab / PWAOff-the-shelf SDK appNative (Qt/C++ per OS)Fora custom Electron build
Real-time video & audioWebRTC, but sandboxedVendor's stack onlyFull, but built twiceChrome's WebRTC engine, tuned — mediasoup / LiveKit / Pion
Native system accessNo system audio, virtual cam, or FFmpegLimited to the SDKFullFull — FFmpeg, virtual camera, system audio, IPC
Cross-platform speedOne codebase, limited powerOne app, vendor-boundOne codebase per OSOne codebase → Windows + macOS
Custom AICloud calls onlyWhatever the vendor shipsAnything, slowlyOn-device or streaming — OpenAI Realtime, Whisper, your model
Time to first buildDaysDaysMonthsWeeks
Who owns itYou, but cappedThe vendor — you rentYouYou — source, build pipeline, signing keys handed over

No single answer is right for everyone. We start most engagements by mapping your real-time requirement, your target OSes, and whether the AI runs on-device or in the cloud — then recommend the lightest thing that works. Sometimes the honest answer is “ship it as a web app and call us when you need the desktop power.” Building a non-realtime business desktop app? Start with our general Electron desktop development page. New to the trade-off? See Electron for business desktop apps.

The architecture

How real-time video and AI run inside an Electron app

An Electron app is a Chromium renderer and a Node.js main process in one binary. Real-time media runs in the renderer on the same WebRTC engine as Chrome; the heavy and the privileged work — encoding, capture, AI — runs in the main process and native modules. Here’s the path from camera to screen, and where the engineering actually is.

01CapturegetUserMediascreen + mic + camChromium WebRTC02TransportRTCPeerConnectionSFU: mediasoup 3.20P2P or SFU03Native workmain process, IPCFFmpeg, virtual cama tab can't reach04AI in the loopOpenAI RealtimeWhisper, LiveKit Agentsstream or on-device05Ship & updatesign, notarizesilent auto-updateelectron-builder

Figure 1: The real-time Electron pipeline — capture in the Chromium renderer, transport over WebRTC (P2P or an SFU), native work in the Node.js main process, AI in the loop, then signed and auto-updated. The contextBridge/IPC boundary sits between steps 2 and 3.

01

Capture

The renderer captures camera, mic, and screen through Chromium’s WebRTC APIs — the same ones Chrome ships — so capture, echo cancellation, and screen share work without a plugin.

getUserMedia / getDisplayMedia
02

Transport

Media goes peer-to-peer for 1:1 or through a selective forwarding unit (mediasoup 3.20, LiveKit, or Pion) for group calls and broadcast, with simulcast and SVC so each viewer gets a layer their connection can hold.

RTCPeerConnection + SFU
03

Native work off the renderer

Recording, transcoding, virtual-camera output, and system-audio capture run in the Node.js main process and native modules (FFmpeg, Chromium Embedded Framework, platform camera APIs), reached over a locked-down contextBridge IPC boundary — the work a browser tab simply can’t do.

main process + IPC
04

AI in the loop

Live transcription, translation, and voice agents run through the OpenAI Realtime API (GPT-Realtime-2, GPT-Realtime-Translate) or LiveKit Agents; private workloads run on-device with Whisper or a local model. Insertable streams let us run effects and analysis on frames in flight.

streaming or on-device
05

Ship & update

We package with electron-builder, sign for Windows and macOS, run Apple notarization, and wire silent auto-update (electron-updater with Squirrel.Mac/Squirrel.Windows, or Sparkle) so users get fixes without reinstalling.

sign, notarize, auto-update

A tuned real-time Electron app holds sub-300ms first frame, real-time effects with no re-encoding, and sub-30ms audio where the use case demands it — numbers a browser tab can’t promise. The hard part isn’t the demo call; it’s keeping latency, CPU, and battery in budget across every machine your users run. For the server side, see choosing an SFU — mediasoup vs LiveKit vs Janus vs Pion.

Why now

Why real-time video and AI desktop apps matter in 2026

The desktop came back. The apps people keep open all day — for trading, streaming, creating, and now AI — are native again, and the bar for real-time is higher than the browser can meet. Three things converged.

Electron caught up to real-time

Electron 39 ships Chromium 142 and Node.js 22.20 — the current WebRTC stack, insertable streams, and modern codecs, in a desktop binary. The same engine that runs video in Chrome now runs it in an app that can also reach the camera firmware and the system mixer.

Real-time AI went production

OpenAI’s Realtime API has been generally available since 2025, with GPT-Realtime-2 for voice agents and GPT-Realtime-Translate handling 70+ languages live. mediasoup 3.20 (in production at Discord) and LiveKit Agents make multi-party real-time media plus an AI participant a normal architecture.

The desktop is where always-on AI lives

The apps shipping local-model and live-agent features in 2026 are desktop apps, because that’s where the system access, the screen context, and the persistent session are. A browser tab can’t watch your screen and talk to you all day; a desktop app can.

Being early to this is the advantage. The teams that ship correct real-time video and AI on the desktop in 2026 own use cases the browser can’t touch — sub-30ms collaboration, screen-aware copilots, broadcast-grade capture, private on-device analysis — before the category fills in. We’ve spent twenty years on the hard half: the media pipelines, the latency budgets, the codecs, the cross-platform packaging. The AI participant is new; making real-time media run on real machines is what we’ve always done.

What we build

Real-time desktop apps we build

Collaboration

Live conferencing & screen share

Multi-party video and screen share with recording, built on a real SFU (mediasoup, LiveKit) inside a desktop app — for workflows that need the whole screen, not a tab. Built the way we built scalable real-time video for the web, with desktop power added.

Ultra-low-latency audio

Real-time audio collaboration

Audio collaboration where every millisecond counts. We built TYXIT — an Electron desktop app that lets musicians jam together with under 30ms of latency, used live to play between the stages of the Montreux Jazz Festival and Jazz à Vienne.

Real-time video FX

Effects & virtual camera

Live, on-the-fly effects that output to OBS, Zoom, and Discord as a virtual camera. We worked on and fixed StreamFog — Electron plus Chromium Embedded Framework and a Windows Virtual Camera, with 300+ AR lenses applied in real time with no re-encoding, the go-to successor to Snap Camera.

AI agents

Copilots on the desktop

Screen-aware, voice-driven assistants that see what the user sees and respond live, through the OpenAI Realtime API or LiveKit Agents, with on-device options for private work. See our real-time AI video agents pillar.

Trading & fintech

Real-time data desktops

Always-open apps that stream market data, alerts, and analytics with no refresh — the kind of latency-sensitive desktop traders keep open all day, with the native access a browser can’t give.

AI media tools

Media + AI on the desktop

Desktop apps that mix real-time media with AI. We built Franchise Record Pool, Funkmaster Flex’s DJ platform — an Electron desktop app over a 720K+ licensed-track library with AI voice-command playlists (Whisper + OpenAI) and music recognition.

When custom wins

When a custom Electron build pays off

A white-label SDK or a browser app is the right call when its feature set fits and you’re happy renting the experience. Custom wins when real-time performance is the product, when you need native access a tab can’t reach, or when the app is your brand and you intend to own and extend it. It wins at any size — a desktop tool for a hundred power users or a streaming app for a million.

Real-time & AI fit →Control & ownership →Browser tab / SDKrent · sandboxed · cappedOff-the-shelf desktop appvendor brand · fixed featuresFora custom Electron buildtuned · native access · you own it

Figure 2: Build vs Buy — real-time & AI fit × control and ownership. Custom wins the top-right at any audience size; no scale threshold.

Buy a browser app or white-label SDK when
A managed feature covers your real-time and UX needs
You don’t need native access (system audio, virtual camera, capture)
The vendor’s brand and roadmap are fine to live inside
You want it live now and will revisit later
Build custom when
Real-time performance — latency, capture, effects — is the product
You need native access a browser tab can’t reach
The app is your brand, and you intend to own and extend it
You want the source, the build pipeline, and the signing keys
Right when: real-time video, audio, or AI on the desktop is a feature your users pay for — at any size.

How we work

Three ways to start

Pricing

What a real-time Electron build costs

Fixed-scope starting points. Final scope depends on platforms (Windows, macOS, or both), how many people are in the call, whether AI runs on-device or streaming, and your latency target — run the calculator for an instant estimate.

Starterfrom $10K~ –4 weeks
  • One real-time feature (1:1 video, screen share, or live transcription)
  • One OS, signed and shipped
  • Working build on a real machine
Get an instant estimate
Most chosenGrowthfrom $20K~4–6 weeks
  • Cross-platform Windows + macOS
  • Group video on a real SFU (mediasoup or LiveKit)
  • Recording and silent auto-update
Get an instant estimate
Enterprisefrom $40K~6+ weeks
  • Multi-party at scale plus a real-time AI agent
  • Native modules (virtual camera, FFmpeg, system audio), code signing + notarization, SLA
  • Handover of source, build pipeline, and infrastructure-as-code
Get an instant estimate

Free for qualified projects

Start with a free working session

Before any contract, we’ll give you something useful. Pick the one that fits where you are.

Why Fora Soft

Why teams pick us for real-time desktop apps

Real-time, already shipped

Twenty years of apps where latency, capture, and codecs are the whole game — the exact constraints a real-time desktop app lives inside. Not a generalist agency adding video; the team that does video.

The real-time Electron stack, in production

Chromium WebRTC, mediasoup 3.20, LiveKit, Pion, OpenAI Realtime, Whisper, FFmpeg, Chromium Embedded Framework, virtual cameras, electron-builder + notarization — in real apps. TYXIT (<30ms audio), StreamFog (300+ real-time lenses), Franchise Record Pool (720K+ tracks, AI playlists).

The hard parts, handled

Code signing, Apple notarization, silent auto-update, memory and CPU budgets across every machine your users run. The work that sinks first-time Electron teams is the work we do by default.

All in-house, 250+ products

Senior engineers, no offshore handoffs, 250+ products since 2005, and a 100% job-success score on Upwork. We finish, sign, notarize, and hand over clean — source, build pipeline, and keys.

FAQ

Real-time Electron development, answered

Can Electron really handle real-time video?

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Why Electron instead of a web app?

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Why Electron instead of native (Qt/C++ or Swift)?

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How low can the latency go?

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Can you add a real-time AI agent to a desktop app?

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Windows, macOS, or both?

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Can you integrate a specific SDK — Agora, Daily, Twilio, LiveKit?

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Can you take over a half-built or broken Electron app?

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How much does a real-time Electron app cost?

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How long does it take?

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Keep reading

Go deeper

Have an idea?

Let’s scope your real-time desktop app.

Tell us the real-time feature, your target OSes, and whether the AI runs on-device or in the cloud. We’ll come back with a stack recommendation and a realistic plan — usually within a day.

Specialist software house for video, real-time and AI products. Founded 2005. 50 in-house engineers.

+1 (914) 775-5855
New York · USA
© Fora Soft, 2005–2026
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