/synthesia

name: synthesia
description: >-
  The Synthesia craft skill — produce avatar video (training, onboarding, explainers, localized
  series, faceless educational content) with the consent-first architecture and honest fit
  boundaries. Use when someone wants to make videos with Synthesia/AI avatars, create a personal
  avatar/digital twin, localize one video into many languages, build training/L&D video at scale,
  or asks whether an avatar should replace them on camera. Uses the HUMAN framework. Reads the
  content skill + brand-profile + voice-builder first. The agent scripts and plans (API where
  connected); the HUMAN approves every video; WoopSocial publishes. Spines: the fit test (avatars
  win at scale/localization/training, lose to a real face for trust-led content); consent-first
  likeness; the script is most of avatar quality — lock copy before generating. Never impersonate,
  fake endorsements, or skip AI-disclosure. Distinct from heygen, talking-head-and-piece-to-camera,
  ai-video/luma, ai-voiceover, and descript.
version: 1.0.0

synthesia

The **avatar-video tool skill** — have a reason for an avatar, use consented likeness only, make the script spoken-word, assemble + localize, note the disclosure. The agent scripts and plans; the **human approves every video**; **WoopSocial publishes**. (Ships with `tools/integrations/synthesia.md`.)

The POV: the presenter is synthetic — the standards stay human

Synthesia is the enterprise avatar category leader: one locked script becomes a consistent presenter in 140+ languages with no re-shoots, which makes it unbeatable for training, onboarding, explainers, and localization at scale. The top-1% operator holds four lines. **(1) The fit test comes first:** avatars read polished-but-**clinical** — they lose to a real face for trust-led founder content and testimonials (route those to `talking-head-and-piece-to-camera`); the pro move is the hybrid — the founder films the trust layer, the avatar scales the informational layer. **(2) Consent is the architecture, not friction:** stock avatars are paid consenting actors; a personal avatar requires *your* live consent recording on an unspliced single-take source — and nobody gets an avatar of a competitor, celebrity, or anyone who hasn't verifiably consented. **(3) The script is most of avatar quality — and it locks before render:** spoken-word writing (short sentences, SSML, read aloud), because a comma-level edit forces a full ~8–12-minute re-generation off the minute cap. **(4) Disclosure, always:** a synthetic presenter is labeled — platform AI tags and the EU AI Act's synthetic-media obligations make undisclosed avatars a channel-level risk.

Read these first

1. The **content skill** (educational-content-and-how-to / short-form-video-script) — the material. 2. **brand-profile** + **voice-builder** (the script's voice) + **design-and-templates** (brand kit).

The framework: HUMAN

(Depth: `references/the-human-framework.md`.)

• **H — Have a reason for an avatar:** training/explainers/localization/faceless = yes; founder-trust/

testimonials/emotional persuasion = no (real face); regulated medical topics = caution (moderation delays).

• **U — Use consented likeness only:** live consent recording for personal avatars; consented stock actors;

never impersonation or fake endorsements; governance on sharing (use ≠ edit; voice separate).

• **M — Make the script spoken-word:** short sentences, contractions, SSML, closer framing; **lock copy before

generating** (re-render trap); read it aloud first.

• **A — Assemble scenes + localize:** brand kit + template once; AI Playground B-roll (use the Veo 3.1

lane — OpenAI ends the Sora API Sept 24 2026, so the Sora 2 lane is dying); 1-click translation/dubbing → **native-speaker QA per language**; one master, tracked variants.

• **N — Note the disclosure + publish:** platform AI labels + EU AI Act + C2PA; human approves; export →

capcut if needed → scheduling-and-queue → WoopSocial.

The reality (verify-quarterly)

Synthesia 3.0 (Oct 2025): **Express-2** engine (full-body, gestures, micro-expressions, 1080p/30fps, no length cap), **Video Agents** (real-time conversational; Enterprise), **AI Playground** (embedded B-roll — launched with Sora 2 + Veo 3.1; the Sora API sunsets Sept 24 2026, so treat Veo as the durable lane), Interactivity 2.0, AI Dubbing, Copilot, doc/PPT→video, SSML, ~real-time rendering, 39+ subtitle languages. Consent architecture (from Synthesia's docs): consented stock actors; personal avatars via live consent recording on a single-take source; deepfakes/impersonation prohibited; SOC 2 Type II + GDPR + ISO 42001/27701 + C2PA membership; **moderation over-flags regulated content (12–24h reviews reported).** Tiers ≈ Free 10 min/mo · Starter $18–29 (~120 min/yr) · Creator $64–89 (~360 min/yr, API, voice cloning) · Enterprise custom (unlimited, SCORM, 1-click translation, Video Agents); **minutes don't roll over; non-refundable annual; custom avatars ≈ $1,000/yr; comma-level edits force full re-renders (~8–12 min).** Honest boundary: clinical for emotional content; HeyGen reads more TikTok-native. **Attribute all; verify-quarterly.** Full detail: `references/synthesia-2026-reality.md`; the fit table, script pattern, localization chain, plan-math worksheet, and worked examples: `references/fit-and-templates.md`.

Honest scope (never violate)

• **The agent** runs the fit test, writes locked spoken-word scripts, plans scenes/localization/QA, and drives

the API **where connected** (exact human steps otherwise; no unreviewed auto-publish); the **human approves every video** (no fabricated "that looks natural"; native-speaker QA per language); **WoopSocial publishes** the exports — it does **not** generate avatars; LMS/SCORM distribution is the human's.

• **Consent spine:** no avatar of anyone without verified consent; no celebrities/competitors; no fake

endorsements. **Disclosure always** (platform labels;