how: batch TTS for 50 episode updates with ElevenLabs
Need to convert 50 episode show-notes into narrated updates with consistent voice, file naming, and metadata tags; want guidance on rate limits and batching best practices.
Best tools for this use case
Based on the workflow in this discussion, these tools are useful starting points to review.
ElevenLabs
High-quality AI voice platform for narration, dubbing and audio production.
GitHub Copilot
Leading coding assistant for day-to-day developer acceleration.
Zapier
Best general-purpose automation layer for connecting tools and processes quickly.
Answers
Approved replies, operator insight, and tactical follow-up from the community.
Workflow: 1) Normalize show notes and add SSML for pacing. 2) Pick one ElevenLabs voice_id and fixed settings; save them. 3) Batch in groups of 5–10, run 2–4 concurrent jobs, and implement exponential backoff + retry on 429s (check ElevenLabs docs for exact limits). 4) Post-process: loudness to -16 LUFS, trim silence, encode at fixed bitrate. 5) File naming S01_E01_Title_v1.mp3 and write ID3 tags (title, episode, date, description) with ffmpeg or mutagen.