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faceless
Create, render and publish AI faceless videos with Faceless.so. Use when the user asks about creating faceless videos, AI video generation from a script, auto-posting to YouTube, TikTok, Instagram or X, automated video series, scheduling short-form content across platforms, or ch
Overview
Create, render and publish AI faceless videos with Faceless.so. Use when the user asks about creating faceless videos, AI video generation from a script, auto-posting to YouTube, TikTok, Instagram or X, automated video series, scheduling short-form content across platforms, or checking Faceless credits and post analytics.
Read full documentation
Source documentation, not instructions for this website. Review permissions before running any commands.
Faceless.so
Faceless.so turns a narration script into a finished faceless video: TTS voiceover, AI-generated visuals, captions and music. Videos render in the cloud and publish to connected YouTube, TikTok, Instagram, X, Facebook, LinkedIn and Threads accounts, either immediately or on a schedule. Series generate and post new episodes automatically.
When to use this skill
- "Make a faceless video from this script" -> videos create, poll status, render, publish
- "Post this to YouTube Shorts / TikTok" or "schedule it for Friday 6pm" -> posts publish or posts schedule
- "Set up a channel that posts a scary story every day" -> series create
- "Generate the next episode now" -> series generate
- "What is queued? How did my posts do?" -> calendar, analytics
- "How many Faceless credits do I have?" -> credits
Setup: install the CLI if missing
- Check the CLI:
faceless --version - If not found, install it:
npm install -g faceless-cli(or usenpx -y faceless-cli <command>without installing) - Authenticate, one of:
FACELESS_API_KEYenvironment variable already set: nothing to do- Otherwise ask the user for an API key (created at https://faceless.so/developers) and run
faceless login
- Verify:
faceless whoami
If npm is unavailable, fall back to the raw HTTP API (see the last section).
Core concepts
- A team owns credits, API keys and connected social accounts; every command runs in the key's team context (
faceless whoamishows it). - Credits are charged at video creation time, by model: storyboard 20, motion_lite 50, motion_pro 100 credits per video. Rendering and publishing are free.
- Videos generate asynchronously:
videos createreturns an id immediately; pollvideos statusuntil completed, thenvideos renderand pollrenders getfor the MP4 URL. - Series are set-and-forget channels: they generate and auto-post a new episode on their schedule, charging the per-episode model cost each time.
- Scheduling to a platform requires that platform's post metadata on the video first (
videos update), and a connected account (faceless accounts). - Always pass
--jsonwhen running commands from a script or agent and parse thesuccessfield.
Command reference
| Command | What it does | Endpoint |
|---|---|---|
faceless whoami | Identify the caller | GET /me |
faceless credits | Credit balance and history | GET /credits |
faceless videos create | Create a faceless video from a script | POST /videos |
faceless videos captions | Caption an existing video or audio file | POST /videos/captions |
faceless videos list | List the team's videos | GET /videos |
faceless videos get | Get one video | GET /videos/{id} |
faceless videos update | Update a video's name or post metadata | PATCH /videos/{id} |
faceless videos status | Poll video generation progress | GET /videos/{id}/status |
faceless videos render | Render a video to MP4 | POST /videos/{id}/render |
faceless videos delete | Delete a video | DELETE /videos/{id} |
faceless renders get | Poll render progress | GET /renders/{id} |
faceless series create | Create an automated video series | POST /series |
faceless series list | List the team's series | GET /series |
faceless series get | Get one series | GET /series/{id} |
faceless series update | Update a series | PATCH /series/{id} |
faceless series delete | Delete a series | DELETE /series/{id} |
faceless series generate | Generate the next episode now | POST /series/{id}/generate |
faceless series episodes | List a series' episodes | GET /series/{id}/episodes |
faceless posts publish | Publish a rendered video to a platform now | POST /posts |
faceless posts schedule | Schedule a video to one or more platforms | POST /posts/schedule |
faceless posts cancel | Cancel a scheduled post | DELETE /posts/{id} |
faceless calendar | Posting calendar | GET /calendar |
faceless accounts | List connected social accounts | GET /accounts |
faceless voices | List TTS voices | GET /voices |
faceless options | List content option catalogs | GET /options |
faceless assets create | Register a media asset by URL | POST /assets |
faceless analytics | Cross-platform posting analytics | GET /analytics |
Full flag-level detail: references/api-reference.md (or https://faceless.so/llms-full.txt).
Common workflows
Script to published video, end to end
faceless videos create --script "Did you know the ocean has rivers of its own? ..." \
--voice-id EXAVITQu4vr4xnSDxMaL --model storyboard --json # charges 20 credits, returns id
faceless videos status <videoId> --json # poll every 10-30s until status "completed"
faceless videos render <videoId> --json # returns renderId
faceless renders get <renderId> --json # poll every 5-15s until status "done", gives the MP4 url
faceless posts publish --video-id <videoId> --platform youtube --title "Underwater rivers are real" --json
Pick a voice with faceless voices --json; enumerate styles, niches, models and more with faceless options --kind <kind> --json.
Automated series
faceless series create --name "Deep sea facts" --source "Facts & stories" \
--niche "Ocean facts" --voice EXAVITQu4vr4xnSDxMaL --duration 60 \
--auto-post-time 18:00 --timezone America/New_York --json
faceless series generate <seriesId> --json # force the next episode now (charges the model cost)
faceless series episodes <seriesId> --json # track output
Schedule one video to several platforms
faceless videos update <videoId> \
--youtube-title "Underwater rivers are real" --tiktok-title "underwater rivers #ocean" --json
faceless posts schedule --video-id <videoId> --platforms youtube,tiktok \
--scheduled-time "2026-08-01T18:00:00Z" --json
faceless calendar --start-date 2026-08-01 --end-date 2026-08-07 --json # confirm the queue
Every platform in --platforms must have its post metadata set on the video first; scheduling rejects platforms whose metadata is missing. Cancel with faceless posts cancel <videoId> --json.
Error handling
Errors look like { "success": false, "error": { "type", "message" } }.
unauthorized(401): re-runfaceless login(or fixFACELESS_API_KEY)forbidden_scope(403): the key lacks a scope; ask the user to create a key with the needed scopes at https://faceless.so/developersinsufficient_credits(402): tell the user to buy credits at https://faceless.so/creditsrate_limited(429): respect the Retry-After header, wait and retryinvalid_input(400): fix the flags per references/api-reference.mdnot_found(404): the id is wrong or belongs to another team
Raw HTTP fallback (no CLI)
Base URL https://faceless.so/api/v1, header Authorization: Bearer $FACELESS_API_KEY.
curl -s https://faceless.so/api/v1/me -H "Authorization: Bearer $FACELESS_API_KEY"
Machine-readable surface: https://faceless.so/api/v1/openapi.json and https://faceless.so/llms-full.txt. A remote MCP server is also available at https://faceless.so/api/v1/mcp (same Authorization header).
File metadata
name: faceless description: Create, render and publish AI faceless videos with Faceless.so. Use when the user asks about creating faceless videos, AI video generation from a script, auto-posting to YouTube, TikTok, Instagram or X, automated video series, scheduling short-form content across platforms, or checking Faceless credits and post analytics.
View original text
---
name: faceless
description: Create, render and publish AI faceless videos with Faceless.so. Use when the user asks about creating faceless videos, AI video generation from a script, auto-posting to YouTube, TikTok, Instagram or X, automated video series, scheduling short-form content across platforms, or checking Faceless credits and post analytics.
---
# Faceless.so
Faceless.so turns a narration script into a finished faceless video: TTS voiceover, AI-generated visuals, captions and music. Videos render in the cloud and publish to connected YouTube, TikTok, Instagram, X, Facebook, LinkedIn and Threads accounts, either immediately or on a schedule. Series generate and post new episodes automatically.
## When to use this skill
- "Make a faceless video from this script" -> videos create, poll status, render, publish
- "Post this to YouTube Shorts / TikTok" or "schedule it for Friday 6pm" -> posts publish or posts schedule
- "Set up a channel that posts a scary story every day" -> series create
- "Generate the next episode now" -> series generate
- "What is queued? How did my posts do?" -> calendar, analytics
- "How many Faceless credits do I have?" -> credits
## Setup: install the CLI if missing
1. Check the CLI: `faceless --version`
2. If not found, install it: `npm install -g faceless-cli` (or use `npx -y faceless-cli <command>` without installing)
3. Authenticate, one of:
- `FACELESS_API_KEY` environment variable already set: nothing to do
- Otherwise ask the user for an API key (created at https://faceless.so/developers) and run `faceless login`
4. Verify: `faceless whoami`
If npm is unavailable, fall back to the raw HTTP API (see the last section).
## Core concepts
- A team owns credits, API keys and connected social accounts; every command runs in the key's team context (`faceless whoami` shows it).
- Credits are charged at video creation time, by model: storyboard 20, motion_lite 50, motion_pro 100 credits per video. Rendering and publishing are free.
- Videos generate asynchronously: `videos create` returns an id immediately; poll `videos status` until completed, then `videos render` and poll `renders get` for the MP4 URL.
- Series are set-and-forget channels: they generate and auto-post a new episode on their schedule, charging the per-episode model cost each time.
- Scheduling to a platform requires that platform's post metadata on the video first (`videos update`), and a connected account (`faceless accounts`).
- Always pass `--json` when running commands from a script or agent and parse the `success` field.
## Command reference
| Command | What it does | Endpoint |
| --- | --- | --- |
| `faceless whoami` | Identify the caller | GET /me |
| `faceless credits` | Credit balance and history | GET /credits |
| `faceless videos create` | Create a faceless video from a script | POST /videos |
| `faceless videos captions` | Caption an existing video or audio file | POST /videos/captions |
| `faceless videos list` | List the team's videos | GET /videos |
| `faceless videos get` | Get one video | GET /videos/{id} |
| `faceless videos update` | Update a video's name or post metadata | PATCH /videos/{id} |
| `faceless videos status` | Poll video generation progress | GET /videos/{id}/status |
| `faceless videos render` | Render a video to MP4 | POST /videos/{id}/render |
| `faceless videos delete` | Delete a video | DELETE /videos/{id} |
| `faceless renders get` | Poll render progress | GET /renders/{id} |
| `faceless series create` | Create an automated video series | POST /series |
| `faceless series list` | List the team's series | GET /series |
| `faceless series get` | Get one series | GET /series/{id} |
| `faceless series update` | Update a series | PATCH /series/{id} |
| `faceless series delete` | Delete a series | DELETE /series/{id} |
| `faceless series generate` | Generate the next episode now | POST /series/{id}/generate |
| `faceless series episodes` | List a series' episodes | GET /series/{id}/episodes |
| `faceless posts publish` | Publish a rendered video to a platform now | POST /posts |
| `faceless posts schedule` | Schedule a video to one or more platforms | POST /posts/schedule |
| `faceless posts cancel` | Cancel a scheduled post | DELETE /posts/{id} |
| `faceless calendar` | Posting calendar | GET /calendar |
| `faceless accounts` | List connected social accounts | GET /accounts |
| `faceless voices` | List TTS voices | GET /voices |
| `faceless options` | List content option catalogs | GET /options |
| `faceless assets create` | Register a media asset by URL | POST /assets |
| `faceless analytics` | Cross-platform posting analytics | GET /analytics |
Full flag-level detail: references/api-reference.md (or https://faceless.so/llms-full.txt).
## Common workflows
### Script to published video, end to end
```bash
faceless videos create --script "Did you know the ocean has rivers of its own? ..." \
--voice-id EXAVITQu4vr4xnSDxMaL --model storyboard --json # charges 20 credits, returns id
faceless videos status <videoId> --json # poll every 10-30s until status "completed"
faceless videos render <videoId> --json # returns renderId
faceless renders get <renderId> --json # poll every 5-15s until status "done", gives the MP4 url
faceless posts publish --video-id <videoId> --platform youtube --title "Underwater rivers are real" --json
```
Pick a voice with `faceless voices --json`; enumerate styles, niches, models and more with `faceless options --kind <kind> --json`.
### Automated series
```bash
faceless series create --name "Deep sea facts" --source "Facts & stories" \
--niche "Ocean facts" --voice EXAVITQu4vr4xnSDxMaL --duration 60 \
--auto-post-time 18:00 --timezone America/New_York --json
faceless series generate <seriesId> --json # force the next episode now (charges the model cost)
faceless series episodes <seriesId> --json # track output
```
### Schedule one video to several platforms
```bash
faceless videos update <videoId> \
--youtube-title "Underwater rivers are real" --tiktok-title "underwater rivers #ocean" --json
faceless posts schedule --video-id <videoId> --platforms youtube,tiktok \
--scheduled-time "2026-08-01T18:00:00Z" --json
faceless calendar --start-date 2026-08-01 --end-date 2026-08-07 --json # confirm the queue
```
Every platform in `--platforms` must have its post metadata set on the video first; scheduling rejects platforms whose metadata is missing. Cancel with `faceless posts cancel <videoId> --json`.
## Error handling
Errors look like `{ "success": false, "error": { "type", "message" } }`.
- `unauthorized` (401): re-run `faceless login` (or fix `FACELESS_API_KEY`)
- `forbidden_scope` (403): the key lacks a scope; ask the user to create a key with the needed scopes at https://faceless.so/developers
- `insufficient_credits` (402): tell the user to buy credits at https://faceless.so/credits
- `rate_limited` (429): respect the Retry-After header, wait and retry
- `invalid_input` (400): fix the flags per references/api-reference.md
- `not_found` (404): the id is wrong or belongs to another team
## Raw HTTP fallback (no CLI)
Base URL `https://faceless.so/api/v1`, header `Authorization: Bearer $FACELESS_API_KEY`.
```bash
curl -s https://faceless.so/api/v1/me -H "Authorization: Bearer $FACELESS_API_KEY"
```
Machine-readable surface: https://faceless.so/api/v1/openapi.json and https://faceless.so/llms-full.txt. A remote MCP server is also available at https://faceless.so/api/v1/mcp (same Authorization header).
Review the source
Price & running costs
- Get the skill
- Price unconfirmed
- Run it
- Requirements have not been confirmed. Check the source for agent, API and service charges.
- License
- Unknown
- Price unconfirmed
- We have not confirmed a price for this skill. Existing source and install links remain available.
Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: Unknown
- License is unclear
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- Repository has no license file, making usage rights unclear.
- Low GitHub adoption signal
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 1 GitHub stars
- Stars/forks activity: 1 stars, 0 forks; issue activity unavailable in current metadata
- License clarity: Unknown
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Start with one small task
- 1Read the source. Confirm the input, expected output, dependencies and permissions.
- 2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
- 3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Source & usage notes
Indexed
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- Side-Products/faceless-skill
- License
- Unknown
- Version
- 1.0.0
- Last GitHub push
- Aug 20, 2026
- Registry updated
- Sep 1, 2026
- Instruction path
- SKILL.md
Version reported in registry metadata; check source releases before relying on it.
Quality
51/100
Needs review
Trust
51/100
Do not auto-install
Audit
65/100
Needs review
- License is unclear
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- Repository has no license file, making usage rights unclear.
- Low GitHub adoption signal
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 1 GitHub stars
- Stars/forks activity: 1 stars, 0 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- Verified installs
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
Agent access
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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"risk_label": "Needs review",
"warnings": [
"License is unclear",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"Repository has no license file, making usage rights unclear.",
"Low GitHub adoption signal",
"Financial research output is not financial advice; require human review before any live investment decision.",
"Quality score needs review"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 51,
"label": "Needs review"
},
"supply": {
"track": "Design and creative production",
"scenario": "Design and creative",
"maintenance": "2mo since push",
"risk": "Needs review"
},
"alternative_skills": [
{
"slug": "krillinai-krillinai-render-vertical",
"name": "krillinai-render-vertical",
"url": "https://www.openagentskill.com/skills/krillinai-krillinai-render-vertical",
"stars": 12590,
"install_command": "npx skills add krillinai/OpenCreator --skill krillinai-render-vertical",
"trust_score": 83,
"audit_score": 85
},
{
"slug": "latent-spaces-brag-slim",
"name": "brag-slim",
"url": "https://www.openagentskill.com/skills/latent-spaces-brag-slim",
"stars": 13807,
"install_command": "npx skills add latent-spaces/brag --skill brag-slim",
"trust_score": 81,
"audit_score": 84
},
{
"slug": "krillinai-krillinai-subtitle",
"name": "krillinai-subtitle",
"url": "https://www.openagentskill.com/skills/krillinai-krillinai-subtitle",
"stars": 12590,
"install_command": "npx skills add krillinai/OpenCreator --skill krillinai-subtitle",
"trust_score": 82,
"audit_score": 85
}
],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"Low GitHub adoption signal",
"Repository has no license file, making usage rights unclear.",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"License is unclear",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing"
],
"agent_contract": {
"task_input": "Use faceless in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 59/100 Manual review",
"Audit: 65/100 Needs review",
"Safety: 21/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "side-products-faceless-skill (faceless)",
"install_command": "npx skills add Side-Products/faceless-skill --skill faceless",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "side-products-faceless-skill",
"task": "Use faceless in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/side-products-faceless-skill",
"api": "https://www.openagentskill.com/api/agent/skills/side-products-faceless-skill",
"audit": "https://www.openagentskill.com/skills/side-products-faceless-skill/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=side-products-faceless-skill&task=Use%20faceless%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20faceless%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20faceless%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/side-products-faceless-skill/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/side-products-faceless-skill"
}
}For the creator
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- Side-Products
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