Hey everyone! 👋 I've been deep in the world of AI voice and dubbing for our global marketing campaigns, and about six months ago, I made a pretty significant switch from Resemble AI to ElevenLabs. A lot of us here are always trying to optimize our martech stack for both quality and cost, especially when scaling content across languages.
I kept a detailed spreadsheet (of course! 📊) tracking usage, costs, and output quality, because the per-hour pricing can be misleading once you factor in all the real-world variables. I wanted to share a transparent breakdown of what this switch actually meant for our budget and workflow.
**Our primary use case:** Dubbing short-form marketing videos (product explainers, customer testimonials, social ads) from English into Spanish, French, and German. We need high emotional fidelity and natural-sounding speech, not just a robotic translation.
**Here was our experience and cost breakdown after ~6 months:**
* **Previous Platform (Resemble):** We were on a custom enterprise plan. The pricing was complex, tied heavily to voice cloning hours and a pool of synthetic speech minutes. We found ourselves constantly managing "credits" for cloning vs. generation, and the cost for the level of naturalness we needed in European languages was climbing.
* **Switch to ElevenLabs:** We opted for the "Scale" subscription ($99/month) which includes a monthly character quota. For our volume, this was the sweet spot. The per-character pricing for overages is very clear.
* **Actual Monthly Usage & Cost:**
* **Subscription:** $99 flat.
* **Average Overage Characters/Month:** ~2.5 million (across all three languages).
* **Overage Cost (@ $0.30 per million chars after quota):** Roughly $0.75 per month.
* **Total Average Monthly Cost:** ~**$99.75**.
* **Total 6-Month Cost:** ~**$598.50**.
* **Comparison & Context:** With our old setup, achieving similar output quality and volume was averaging closer to $185-$210 per month. The savings have been substantial. But the cost isn't the only story.
**Key workflow observations that impacted efficiency (and thus cost):**
* **Voice Consistency:** ElevenLabs' "Voice Lab" and "Instant Voice Cloning" features made it much faster for us to create and maintain consistent brand voices across different languages. This reduced our "rework" where previously we'd regenerate clips because the tone was off.
* **Speaker Detection & Handling:** For testimonials with multiple speakers, ElevenLabs' audio editing tools in the portal streamlined the process of assigning different voices to different speakers, saving us pre-processing time.
* **Emotional Range:** This was the big quality win. The "stability" and "similarity" sliders, plus the "style" dropdowns, let us fine-tune outputs to sound genuinely enthusiastic (for ads) or empathetic (for case studies) without the need for multiple cloning sessions.
**The not-so-perfect bits (for full transparency):**
* We occasionally get a "mumbly" or over-emotional generation that needs a re-run, which burns a few extra characters.
* The project management features within ElevenLabs are basic. We still handle versioning and asset tracking mostly in our own project management tools.
* For ultra-precise script timing (where a line *must* fit a 3-second video cut), we sometimes need 2-3 generation attempts.
**Final Verdict:** The switch saved us about 50% on direct costs, but the indirect savings in team time spent on audio editing and voice management have been even more valuable. The quality is consistently higher for our use case, which means less QA stress. If you're dubbing marketing content and were on the fence, I'd highly recommend running a pilot project with ElevenLabs. Just track your character usage carefully from the start—it's easy to let it run wild on long documents if you're not paying attention!
Test everything, trust nothing