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5 open-source AI repos that replace paid subscriptions

Avatars, video, voice, images and dictation — all running on your own hardware. Plus the licence details that decide whether you can actually make money with them.

Jump to the licence table →

By Adan · adanxai · Last updated July 2026 · Free, given away in full

The interesting shift in AI right now isn't better models — it's that you can run capable ones yourself. These five replace tools people pay monthly for. But "open source" and "you can sell what you make with it" are not the same thing, and that's the part every listicle skips.

Read this before you monetise anything here

Two of these five have licences that restrict commercial use, and one of them is the avatar tool that creators most want to use commercially. I checked every licence file directly — the table below is the actual terms, not the marketing copy.

1. The licence table

Sorted by how freely you can use the output commercially.

ProjectLicenceCommercial use
HandyMITYes
Wan 2.1Apache-2.0Yes
ComfyUIGPL-3.0Yes, but copyleft
OmniVoice StudioAGPL-3.0Conditional
Duix.AvatarCustom (DUIX.COM)Restricted

What the yellow and red actually mean:

  • GPL-3.0 (ComfyUI) — use it freely, sell the images you make. But if you ship a product that includes ComfyUI code, that product has to be open source too.
  • AGPL-3.0 (OmniVoice) — same idea, extended to networks. Build a SaaS on it and you must open-source your stack. There's a paid commercial licence to escape that, but its pricing is listed as "coming soon."
  • Custom (Duix.Avatar) — the one to actually read. Details below.

2. Duix.Avatar (the HeyGen alternative)

Formerly called HeyGem

Duix.Avatar

Clone a face and voice from real video, then generate lip-synced talking-head videos from a script. Runs fully offline as a desktop app on Windows or Ubuntu.

  • Licence: DUIX.COM Community License — a custom licence, not OSI-approved
  • Stars: ~14k
  • Hardware: NVIDIA GPU required (RTX 4070 recommended), 32GB RAM, and roughly 130GB of free disk
  • Maintenance: last push April 2026, 400+ open issues
github.com/duixcom/Duix-Avatar →

The licence catch nobody mentions

Its own LICENSE file requires you to request a separate commercial licence once your product passes 1,000 monthly active users — granted at their sole discretion. Until they grant it, you're "not authorized to exercise any of the rights under this Agreement."

It also requires you to display "Built with DUIX.COM" in your product, and any model you fine-tune from it must be named starting with "DUIX.COM".

Worth knowing: the README's own comparison table says the threshold is 100,000 users. The LICENSE file says 1,000. The LICENSE is what binds you, and that's a 100x difference. Read it yourself before you build a business on this.

None of that makes it a bad tool — it's genuinely impressive and free for personal use and small projects. Just don't treat it as unrestricted, and note the name changed: searching "HeyGem" now leads to a renamed repo.

3. Wan 2.1 (the Runway alternative)

Wan 2.1

Open-weight video generation — text-to-video, image-to-video, first-last-frame, and video editing. No credits, no subscription, just your GPU.

  • Licence: Apache-2.0. The README states they claim no rights over what you generate
  • Stars: ~16k
  • Hardware: the 1.3B model needs ~8.2GB VRAM and makes a 5-second 480p clip in about 4 minutes on an RTX 4090. The 14B models need memory offloading even on that card
  • Maintenance: ⚠️ effectively frozen — 53 commits, no published releases, and its news log stops in May 2025
github.com/Wan-Video/Wan2.1 →

Check for Wan 2.2 first. This repo's own README references a newer version. Best licence of the five for commercial work, but you may be starting on an outdated branch.

4. OmniVoice Studio (the ElevenLabs alternative)

OmniVoice Studio

Local voice cloning, video dubbing, dictation and audiobook creation. Ships 14 text-to-speech and 11 speech-recognition engines, and runs as an MCP server so Claude, Cursor or Codex can speak and listen through it.

  • Licence: AGPL-3.0. A commercial licence is promised but not yet priced
  • Stars: ~9k — remarkable, given the next line
  • Hardware: the friendliest here — 4GB VRAM minimum, works on CPU about 3x slower. No Intel Mac support
  • Maintenance: very active, but created April 2026, one maintainer, and self-described as "active beta — things may break between releases"
github.com/debpalash/OmniVoice-Studio →

The MCP server is the genuinely novel part — it's the only one of these five that plugs directly into an AI coding agent. Just size your expectations: this is a three-month-old solo project moving fast, not a mature product. Great to experiment with, risky to build a business on this quarter.

5. ComfyUI (image generation)

ComfyUI

The node-based interface most serious local image work runs on. Build pipelines visually with FLUX, Stable Diffusion, Qwen-Image and thousands of community workflows.

  • Licence: GPL-3.0 — copyleft, so fine for making and selling images, restrictive if you embed it in closed-source software
  • Stars: ~122k, by far the biggest here
  • Hardware: the most forgiving — smart offloading runs large models on as little as 1GB VRAM, and it works CPU-only with --cpu. NVIDIA, AMD, Intel and Apple Silicon all supported
  • Maintenance: very active, roughly a stable release every two weeks
github.com/Comfy-Org/ComfyUI →

Note the repo now lives under Comfy-Org, not the original comfyanonymous account. One warning from its own README: stick to tagged stable releases, because commits between them can break custom nodes.

6. Handy (the dictation tool)

Handy

Press a shortcut, talk, and your words appear in whatever field you're focused on. Whisper or Parakeet transcribes it locally — no cloud, no subscription, no audio leaving your machine.

  • Licence: MIT — the cleanest of the five. The code is fully permissive; only the Handy name and logo are reserved
  • Stars: ~27k
  • Hardware: lightest here. Parakeet V3 is CPU-only and runs ~5x real-time on a mid-range i5. Models are 473MB–1.6GB
  • Maintenance: actively maintained — 61 releases, latest v0.9.3 in July 2026
github.com/cjpais/Handy →

Its README does flag that Whisper models crash on some Windows and Linux configurations, and Wayland support is limited. Parakeet is the safer default.

7. Which to actually start with

If you're new to running things locally: Handy. MIT licence, CPU-only option, installs in minutes, and it's useful the same day. Lowest possible cost to find out whether local AI fits how you work.

If you have a decent GPU: ComfyUI. Biggest community, most forgiving hardware requirements, and the skills carry over to everything else in image generation.

If you want the avatar workflow: Duix.Avatar — but read that licence properly first, and budget for an RTX 4070 and ~130GB of disk. This is not a laptop project.

The honest framing: "free" here means no subscription, not no cost. You're trading a monthly fee for GPU hardware, disk space, setup time, and — for two of these — real licence constraints. For heavy users that trade is clearly worth it. For occasional use, the paid tools are still cheaper than a graphics card.

What's genuinely true is the direction: open-weight models are closing the gap faster than most people expected, and owning the whole stack is now a real option rather than a compromise.

A note on method: I read every LICENSE file directly rather than trusting the README summaries — which is how the Duix 1,000-user clause turned up. Licences change; check them yourself before anything commercial.

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