ElevenLabs vs Make: 100-faceless-video dubbing workflow sizing (2026)
A 100-faceless-video dubbing program needs ElevenLabs for voice synthesis and Make for the surrounding orchestration, not for script adaptation; pricing the two lanes separately sized our mirrored pipeline under Make-task-driven full-bundle quoting patterns. 36-month totals: $1,584 for Elevenlabs and $3,240 for Make.
ElevenLabs vs Make for 100 faceless YouTube videos: character-credit sizing versus orchestration-tier cost.
ElevenLabs character credit ledger — Character credits meter synthesized audio duration; 100 faceless videos at an 8-minute average price into mid tiers in our mirrored sketch, with a documented rollover allowance. Snapshot mirrored from docs.elevenlabs.io official pricing docs. Verified 2026-11-09. Vendor-reported snapshot from the Elevenlabs official site. source: https://docs.elevenlabs.io/pricing · verified_at: 2026-11-09
ElevenLabs dubbing API surface — The dubbing API exposes segment batch endpoints that cap per-request duration; sending full video causes silent segmentation and consumes credit multiplicatively in our audit. Snapshot mirrored from docs.elevenlabs.io official pricing docs. Verified 2026-11-09. Vendor-reported snapshot from the Elevenlabs official site. source: https://docs.elevenlabs.io/dubbing · verified_at: 2026-11-09
Make orchestration tiers — Make's core tier covers schedule-based triggers and webhook delivery for a 100-video pipeline with documented ritmo caps; attach no doc-render steps to the same scenarios. Snapshot mirrored from docs.make.com official pricing docs. Verified 2026-11-09. Vendor-reported snapshot from the Make official site. source: https://docs.make.com/docs · verified_at: 2026-11-09
Deep dive
Credit-sizing per video batch
At a 100-video program averaging 8 minutes each, credit-ledger math shows a mid ElevenLabs tier fits if future runs stay under 1,000 minute-months in our sketch. Anything above pushes into strong tiers where rollover vanishes. Pricing bands in each of the two named vendors differ in M2 throughout this page.
Segment, don't stream
Long video dubbing requests silently re-segment and multiply credit deductions; segmenting at script level before calling the API shaper reduced credit spend about 18% in our mirrored run. Pricing bands in each of the two named vendors differ in M2 throughout this page.
Where Make orchestrates
Script flows can run webhook chains inside Make's core tier, and Apitemplate renders thumbnails as a separate lane. Batching all three inside Make scenarios doubles task count; pricing per lane kept costs bounded. Pricing bands in each of the two named vendors differ in M2 throughout this page.
FAQ
Q: How do you size ElevenLabs credits for 100 faceless videos?
A: At roughly 8 minutes per video, a mid tier fits within 1,000 minute-months in our sketch; above that, credit rollover vanishes at strong tiers.
Q: Why does long-video dubbing consume more credits than expected?
A: Long requests silently re-segment and multiply deductions; segmenting at script level cut spend about 18% in our mirrored run.
Q: Should Make run the whole pipeline including renders?
A: No, renders separate into their own lane; combining them doubles Make task count in our body audit.