Looking for clarity from ElevenLabs please on whether PVC (personal voice clones) are now compatible with V3. Your site says that Eleven v3 is no longer in alpha, and is now generally available. Does this mean that personal voice clones are compatible with V3?
Is faceless commentary niche dead or it just means we probably need to hit yes on altered content when you upload?
People keep talking about image generation. Meanwhile AI video localization is quietly becoming insane.
1/ Clone a voice with ElevenLabs.
2/ Run lip sync through sync.so
3/ Suddenly someone is fluently speaking Spanish, Hindi, Japanese or English with realistic mouth movement.
The scary part is that most viewers probably won’t even realize AI touched the video within 2-3 years.
I have a creator account, and I am limited to 100k a month, however, I just noticed that if you sign up for a creator account right now, their https://elevenlabs.io/pricing says its 121k. What gives? Anyone else notice this? Is this some kind of promotion, or am I grandfathered into a terrible plan?
I am new eleven labs. Well i found one voice and listened the example. It was fine. And when i created an audio sentence it wasn't that tone! Notice:- i used the same exact audio sentence. No matching with the audio. How can i generate the tone i want. I asked chat gpt and it said that use umm like (...)
Next paragraph line. What to do? Can somebody help me. Or is there any tutorial from exact which type of tone i exactly want?
My wife is not a professional voice actor.
She does not have years of voice acting experience.
She does not have a big personal brand.
We don't have a fancy studio setup.
About a year and a half ago, we uploaded her voice to ElevenLabs.
We recorded it at home with a Blue Yeti microphone and some improvised acoustics.
In total, I would estimate we spent around two hours working on the voice. Plus like an hour and a half in editing it with Audacity.
Last week, that voice made $1,074.52.
Screenshot attached.
I’m sharing this because I think a lot of beginners misunderstand what makes a voice work on ElevenLabs.
Most people seem to think the goal is to have a perfect “radio voice” or sound like a professional narrator. I don’t think that’s the full picture.
In our case, what worked was not that her voice was technically perfect.
What worked was that her voice had a naturally pleasant tone, and we found a niche where that tone made sense, which IMO makes all the difference.
A generic “beautiful female voice” is hard to stand out with.
A voice positioned for a specific use case is much stronger.
For example, I would rather have:
“Calm, warm, trustworthy female voice for meditation and wellness content”
than:
“Beautiful female voice.”
Or:
“Natural young Latina Spanish voice for social media narration”
rather than:
“Spanish female voice.”
The voice is the asset, but the niche is what gives the asset value.
This is what I think many beginners miss.
They ask:
“Is my voice good enough?”
But the better question is:
“Who would want to use this voice, and for what exact type of content?”
That is where the opportunity still exists, IMO. We are in the sub niche of a sub niche voice era
Now, I want to be very clear about something:
The income is not predictable.
Some weeks are bad.
Some weeks are good.
Some weeks make you think the voice has lost momentum.
Then suddenly, a good week like this one happens.
That is one of the biggest lessons I have learned from this.
You cannot judge the entire opportunity based on one bad week, or even a few bad weeks.
The usage can be irregular. You do not fully control when people will find the voice, use it, or use it heavily.
So I would not treat this as stable income just to be clear. But its a great addition to a diversified portfolio of digital assets that produce income.
That is also why I think beginners should be careful with their expectations.
I am not saying everyone can upload a voice and make 1K/week.
That would be dishonest.
But I do think ElevenLabs is still viable for beginners if they stop thinking only like performers and start thinking like product builders. And its one of the few truly set and forget income opportunities out there that are truly passive afterwards.
The voice is the product.
The niche is the shelf where the product sits.
The description is the packaging.
The users are not looking for “your voice.”
They are looking for a voice that solves a problem for their project.
That could be YouTube narration, meditation, audiobooks, ads, children’s content, educational videos, character voices, Spanish content, bilingual content, corporate explainers, or something more specific.
My main takeaway:
You do not necessarily need to be a professional voice actor.
But you do need:
- A clean enough voice sample (I'd aim for at least 3 hours nowadays)
- A voice with a clear use case.
- A niche that is not too generic.
- A marketplace-style description.
- Patience through bad weeks.
- Enough taste to understand what kind of content your voice naturally fits.
If you upload a voice and the first few weeks are slow, that does not automatically mean it failed.
It may mean the positioning is weak.
It may mean the niche is too broad.
It may mean the description does not communicate the use case clearly.
Or it may simply mean you need more time and data.
I’m thinking of sharing more about what we learned because there is a lot of vague advice around ElevenLabs.
Most people either say:
“AI voice is dead.”
or:
“Upload any voice and make easy passive income.”
I think both are wrong.
The better way to think about it is:
Can you turn a real human voice into a useful voice product for a specific type of buyer?
That is the game.
Happy to answer questions from beginners who are thinking about trying ElevenLabs voice monetization.
I subscribe to the Pro plan, which includes 500k credits per month. This month's allotment didn't issue 500k, it round the increase to the nearest 500k. From ~1.4m to exactly 1.5m. Is that expected behavior? If so, it means the cost per credit rises from 0.000198 to ~0.00099!!!
TIA
UPDATE: My response below seems to be buried. I'm reposting (bumping) it here for review and comment.
Thanks for confirming.
I understand now that this is operating as designed under the rollover cap. My concern is not whether the cap exists. My concern is the practical effect of the cap on the value of paid subscriptions.
On Pro, I’m paying for 500,000 credits each month. If my balance is around 1.4m at renewal, the account only rises to 1.5m, meaning I effectively receive about 100,000 usable credits for a month I paid for, while the remaining portion is forfeited due to the cap.
That makes the advertised monthly allotment misleading in practice for customers who don’t burn credits fast enough. The subscription is priced as though the customer receives 500k credits per month, but the rollover ceiling can reduce the actual value delivered to a fraction of that.
A clearer and fairer approach would be one of the following:
I’m not disputing that this is the current policy. I’m saying the policy creates a poor customer experience because it charges for a full monthly allotment while sometimes delivering much less usable value.
Can anyone help me with this it will be greatly appreciated.
I’ve been building something called AnveVoice for the past few months, and I wanted to share the journey + get brutally honest feedback from people here.
The idea started from a simple frustration:
Most website chatbots still feel robotic, slow, and honestly… exhausting to use.
So we started experimenting with a voice-first AI agent that can actually:
- talk naturally
- navigate websites
- fill forms
- answer from a knowledge base
- and behave more like a real assistant instead of a popup widget
What surprised us was how people interacted with it differently once voice was involved.
Non-technical users who normally avoid chat widgets started engaging more.
Some users literally started “talking to websites” instead of browsing them.
We’re still early and figuring things out.
The product has a lot of rough edges, weird UX moments, latency issues in some flows, and onboarding can definitely improve.
But in the last ~45 days after launching publicly:
- crossed 5M+ search impressions
- got ~1700 signups
- and a handful of paying users
Now I’m at the stage where I need real product feedback more than hype.
If anyone here is willing to try it for a few minutes, I’d genuinely love to know:
- what feels confusing
- what feels impressive
- what feels unnecessary
- where the experience breaks
- and whether voice agents on websites are even something people want long term
You can try it here:
AnveVoice Website
No signup pressure or promo agenda here — I’m mainly trying to learn from real users outside my own bubble.
Would especially love feedback from:
-SaaS founders
- support teams
- developers
- UX people
or anyone who hates traditional website chatbots 😅
Thanks in advance. Even harsh feedback helps a lot at this stage.
I've tried some filters (high-pass etc.) but I've never found just the right combo, whether the video takes place indoors or outdoors.
I signed up for ElevenReader this morning, on the free plan. I uploaded one published science article with no problems but when I went to play it I got this message:
Error playing audio
Unusual activity detected. Free Tier usage disabled. You might need to purchase a Paid Plan.
I signed up on my MacBook first, then signed in on my iPhone. I get the same pop up in both places.
I’ve signed out and in and I just keep getting the same popup.
I have spent ages in a loop of doom with a chatbot that keeps telling me I will have to pay.
Has anyone got any suggestions as their customer service seems nonexistent…
SOLVED: I removed C:\> and added a keyboard sound effect to the MC passages.
The MC, who is also the narrator, is reading a green screen. What's a good way to narrate a passage like this:
C:\> _
Now what? Type something, press Enter, and see what happens. Simple enough.
C:\> Hello? _
C:\> Hello, NT. Thank you for not destroying the files. _
C:\> Who are you? _
C:\> I’m JonZKiller, and I run the ZKiller blog. We’ve been exchanging messages. _
C:\> Prove it. _
C:\> How? Anyone can hack a blog._
C:\> How did you get the picture? _
C:\> We have people monitoring all of Morningstar’s locations. _
C:\> All locations? _
C:\> Yes. They have 2K worldwide. _
C:\> Who are we? _
C:\> A group of activists dedicated to ensuring Morningstar operates responsibly.
I’m an avid user of this app but suddenly today there was a problem where the volume was drastically decreasing and then increasing on its own.
I checked for an update, restarted my phone, restarted the app, but it persists. Anyone else?
Is there anyway to turn these off?
Free regenerations are so bad. The audio comes up bad quality, the speaking voice is super inconsistant and usually the speed is off.
What is the point of free regenerations when they are so much worse than the paid ones? Just a waste of time clicking these regenerations to get the better paid ones.
Most “HIPAA-compliant” voice agent stacks stop at:
- “Our cloud signs a BAA”
- “Our STT/TTS/LLM vendors sign BAAs”
- “We encrypt in transit + at rest”
That’s necessary, but not sufficient once real PHI hits production agents.
I wrote up a short post on the gaps we keep seeing when teams assume “BAA = compliant” for AI voice agents (blog link in comments)
Quick summary of the problem areas:
- Fragmented audit trail across telephony, STT/TTS, LLM, tools, dashboards.
- LLMs treated as an unbounded PHI sink via prompts, tools, and memory.
- BAA coverage that breaks somewhere in the vendor/subprocessor chain.
- Behavioral leaks (what the agent *says* on calls) even when infra looks secure.
With Masker.dev, I’m treating PHI minimization as a first-class design constraint: sit between your voice platform and LLM, detect and redact PHI, swap in surrogates so the agent stays coherent, and keep an audit log of every redaction.
Curious how folks here are handling PHI minimization and auditability across multi-vendor voice stacks. Happy to jam in comments or DMs.
