The ElevenLabs skill turns Markdown or a script into rendered audio via ElevenLabs’s API. Voice selection (their library or your cloned voice), emotion control, SSML tagging for pauses and emphasis. The result: narrated content that sounds like a person, not a Festival 1.96 robot.
What it produces: MP3 or WAV files generated from text input, with parameters for voice ID, stability, similarity boost, and style. SSML tags (<break>, <emphasis>) supported for pacing.
Best for: turning blog posts into podcast episodes (10-minute read = 10-minute audio, generated unattended), narrating lead-magnet PDFs into audio versions for “listen on commute” CTAs, generating placeholder VO for video drafts before booking a real voice actor.
Skip if: the use case demands a real human voice — sponsorships, interviews, anything where AI-voice disclosure would damage trust. Also skip if you can’t justify $22-99/month for a creator-tier API plan; ElevenLabs is the best in the category and priced accordingly.
Setup gotchas: API key in ELEVENLABS_API_KEY. Watch the character quota — long-form content burns through the starter plan fast (10K characters = ~10 minutes of audio at the standard rate). The “stability” parameter is counter-intuitive: lower stability = more emotional variance = more natural for storytelling, but less consistent across long generations.
Real-world workflow: every published blog post on 500k.io gets an audio version via ElevenLabs within 24 hours. Script lightly edited for spoken cadence (different from written rhythm), generated in one pass, attached to the article. Adds 30 minutes of podcast-listener engagement per piece without a second creator on the team.
Compatible alternatives: OpenAI’s TTS for cheaper but flatter delivery, Whisper for the inverse (audio → text). Hume for emotion-first, Resemble.ai for cloned-voice studio work.
If you ship written content weekly, the audio version takes 30 minutes and 2x the engagement.