Image and video decision
HeyGen
A practical, limited self-hosted workflow (script → TTS → open-source avatar renderer → MP4) is achievable by a competent engineer, but HeyGen’s proprietary avatar models, identity-verification, moderation, and scaled localization are durable differentiators that are costly or impractical to reproduce fully.
Visit website↗$29/mo
$348/yr
Read off the official pricing page.
$100one-off80 h to build
$400/mo12 h/mo upkeep
On cash alone, building overtakes the subscription at 15 seats.
The code exists. It is not what you are paying for.
This project is real, published, and does the core job — and this page still says keep paying. What the subscription buys is proprietary models and compliance and regulation, and none of that ships in a repository. Fork it anyway if you want to. Go in knowing what it does not carry. What stays hard ↓ · All HeyGen alternatives, with the arithmetic →
What a replacement has to do
- Take a text/script + optional reference photo → synthesize voice → generate an avatar-driven video with accurate lip-sync and export MP4
What it still won’t have
- HeyGen’s proprietary Avatar V model quality and character-consistency
- Built-in identity-verification and enterprise moderation workflow
- Scale, throughput, and lowest-latency paid processing
- Integrated multi-language/localization with lip-sync for 175+ languages
- Enterprise features (SSO/SAML, SCIM, team seats, workspace controls)
What remains hard
- Proprietary models
Avatar V delivers it across every angle, every expression, and every video you create.
- Compliance and regulation
Every custom avatar requires on-camera identity verification from the person depicted. No verification, no avatar.
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 15 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal self-hosted AI avatar video generator using: Next.js for UI, a Postgres DB for projects, a Python FastAPI backend, and Docker. In scope: accept a short script and reference photo, run an open-source TTS/voice-clone model (e.g., Coqui or VITS), run an open-source avatar renderer (e.g., Duix-Avatar) to produce per-scene frames, perform phoneme-level lip-sync alignment, encode output to MP4, and provide a UI to preview/download. Out of scope: training large proprietary avatar models, multi-language lip-sync tuning beyond English, enterprise SSO, and paid credit systems. Require error handling, retries for model jobs, basic unit tests for API endpoints, and a README with deployment steps and resource cost estimates.
How we checked
How the score was reached
- Pay verdict base20
- An open-source build was found+5
- 4 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Hard moats found in the evidence-6
- Evidence score29
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 4
Every page the run actually retrieved.
- official productHeyGen official product page
- official pricingHeyGen pricing
- official docsHeyGen use case: Learning Courses
- open sourceDuix-Avatar (candidate prior art)
Integrity checks
What held up, and what did not.
