Faceless YouTube TTS stack: script → Audra → editor — Audra

Batch narration pipelines need predictable MP3 output, not a realtime agent stack. Not for realtime voice agents or cloning.

Who this is for

• Teams shipping faceless YT stack as mastered MP3/WAV files
• Pipelines that already POST text over HTTP or the OpenAI SDK
• Builders comparing ElevenLabs list rates for non-cloning workloads
• Anyone who needs −16 LUFS without a separate loudness pass

How faceless YT stack pipelines usually look

Treat Audra as a file factory: chunk scripts server-side (or send up to 50k sync / 500k via jobs), keep one voice slug for brand consistency, and store mastered MP3s in your CDN. faceless YT stack is a batch HTTP workload — not a realtime agent stack.

• Stable voice slug across episodes/modules to avoid weekly voice drift
• −16 LUFS out of the API — skip a separate loudness pass for most uploads
• POST /v2/speech/jobs + webhook_url when a script exceeds sync limits
• Model cost on /calc before locking a course or channel budget

Request pattern

curl
curl https://audratalks.com/v2/speech \
  -H "Authorization: Bearer sk-live-YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"audra-essential","text":"Your narration script.","voice":"june","format":"mp3"}' \
  --output out.mp3

Python
import requests

r = requests.post(
    "https://audratalks.com/v2/speech",
    headers={"Authorization": "Bearer sk-live-YOUR_KEY"},
    json={
        "model": "audra-essential",
        "text": "Your narration script.",
        "voice": "june",
        "format": "mp3",
    },
    timeout=120,
)
r.raise_for_status()
open("out.mp3", "wb").write(r.content)

JavaScript
import { writeFile } from "node:fs/promises";

const res = await fetch("https://audratalks.com/v2/speech", {
  method: "POST",
  headers: {
    Authorization: "Bearer sk-live-YOUR_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "audra-essential",
    text: "Your narration script.",
    voice: "june",
    format: "mp3",
  }),
});

if (!res.ok) throw new Error(await res.text());
await writeFile("out.mp3", Buffer.from(await res.arrayBuffer()));

OpenAI SDK users set baseURL to https://audratalks.com/v1 and model audra-essential — see /migrate. Next: model spend on /calc.

Cost sanity check

Want to hear a sample on your own script? Get an API key at /dashboard — 25k free characters, no card.

FAQ

Next steps

• Primary next step: model spend on /calc
• A/B voices on /compare
• Honest matrices: /vs/elevenlabs and /vs/openai-tts
• Read next: /blog/youtube-narration-tts-api
• Voice catalog: /voices