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AI · head to head

ElevenLabs vs JMP

ElevenLabs logo

ElevenLabs

AI

AI voice generation and cloning platform

From
Free
Free plan
Yes
JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Free plan
Yes

The short version

  • Each has a real cost: ElevenLabs number pronunciation errors: '200000' reads as 'twenty thousand thousand' instead of '200,000'; JMP it is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
  • They diverge on capability: ElevenLabs covers Text-to-speech, JMP covers Custom design of experiments.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which ElevenLabs and JMP actually diverge.

Attributes where ElevenLabs and JMP differ
AttributeElevenLabsJMP
Pricing modelUnknownsubscription
PlatformsWeb, ApiMac, Windows
CategoryAIMachine Learning
Founded20221976

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in ElevenLabs

  • Text-to-speech
  • Voice cloning
  • 29 languages
  • Emotion control
  • API access
  • Speech-to-speech
  • Dubbing
  • Web support

Only in JMP

  • Custom design of experiments
  • Linked interactive graphics
  • Analysis platforms
  • Quality and process tools
  • Graph Builder
  • JSL scripting
  • Scoring code export
  • Predictive modelling in JMP Pro

What people use each for

The jobs each tool is most often brought in to do.

ElevenLabs

  • ai tools managementnot JMP
  • Workflow automationnot JMP
  • Reportingnot JMP

JMP

  • Planning a physical experiment where each run is expensive, and the question is which twelve runs to perform rather than how to model data you already havenot ElevenLabs
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot ElevenLabs
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot ElevenLabs
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot ElevenLabs

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

ElevenLabs

  • Number pronunciation errors: '200000' reads as 'twenty thousand thousand' instead of '200,000'
  • Voice cloning requires professional-grade audio quality; no upfront guidance on technical requirements
  • Email-only support with 5-14 day response times for complex issues; no phone support
  • Pricing unpredictability: actual usage often exceeds advertised estimates due to regenerations needed for quality

JMP

  • It is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
  • There is no Linux build and no server edition for running analyses, so JMP cannot sit in a scheduled pipeline the way an R or Python script can, and recurring reports depend on a named person running them on a laptop.
  • The predictive modelling capability most buyers mean when they call this machine learning software is in JMP Pro, a separate and more expensive licence, so the base product's price is not the price of the thing being evaluated.
  • JSL is proprietary to JMP, so the scripts, add-ins and automation a group accumulates over a decade do not port anywhere and become sunk cost the moment anyone questions the renewal.
  • Deployment ends at exported scoring code with no registry, monitoring or retraining, so a model that runs in production is maintained by another team in another language and steadily diverges from the version the analyst still has open.

Pricing, plan by plan

ElevenLabs

Free
  • FreeFree
    • 10,000 characters/month
    • 3 custom voices
    • Text-to-speech, speech-to-text access
  • Starter$5/month
    • 30,000 characters/month
    • Commercial license
    • Instant voice cloning
  • Creator$22/month
    • 121,000 characters/month
    • Professional voice cloning
    • Dubbing studio access
  • Pro$99/month
    • 600,000 characters/month
    • Unlimited voice cloning
    • 60-minute extended audio generation

JMP

Free
  • TrialFree
    • 30-day trial
    • Full features
  • JMP$1785/year
    • Core JMP
    • Standard features

Which should you pick?

Choose ElevenLabs if

  • You need text-to-speech.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want voice cloning.

Choose JMP if

  • You need custom design of experiments.
  • You want to start without paying.
  • You work on Mac, Windows.
  • You also want linked interactive graphics.

Questions people ask

Is ElevenLabs or JMP better?
Neither clearly leads. ElevenLabs starts at Free and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ElevenLabs or JMP?
ElevenLabs starts at Free and JMP at Free.
Does ElevenLabs or JMP run on more platforms?
ElevenLabs runs on Web, Api. JMP runs on Mac, Windows.
Can I use ElevenLabs for free?
Both have a free tier, so you can try either at no cost before committing.
What is ElevenLabs best used for?
ElevenLabs is most often used for ai tools management, workflow automation, reporting. Of those, ai tools management and workflow automation are not what JMP is typically brought in for.
What can ElevenLabs do that JMP cannot?
ElevenLabs covers Text-to-speech, Voice cloning, 29 languages, Emotion control. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.

Answered from the vendors’ own pages

ElevenLabs: Does the free plan include commercial usage rights?

No. The free plan provides 10,000 characters monthly and access to 3 custom voices, but excludes commercial license. Commercial usage rights are only available on paid Starter plan ($5/month) and above.

Source
JMP: Is JMP the same thing as SAS?

No. JMP is a separate desktop product from a SAS subsidiary, with its own interface, its own scripting language and its own licence. Knowing SAS does not transfer to it beyond the statistics.

ElevenLabs: How many languages does ElevenLabs support?

ElevenLabs supports voice generation in 32+ languages. Professional Voice Cloning (PVC) allows you to create a digital replica of your voice that works across these 32+ languages while maintaining emotional register and prosody.

Source
JMP: Do I need JMP Pro?

If you want cross validation, penalised regression, boosted trees or neural networks, yes. The base edition covers classical statistics, graphics and design of experiments well and stops short of predictive modelling.

ElevenLabs: What are the requirements for voice cloning?

Professional voice cloning requires high-quality audio with RMS between -23dB to -18dB, no background noise, consistent microphone distance, and proper compression. Without meeting these technical requirements, the cloned voice sounds robotic or distorted. ElevenLabs does not disclose these requirements upfront.

Source
JMP: Does it run on Linux?

No. Windows and macOS only, as an installed application.

ElevenLabs: How is pricing calculated?

ElevenLabs uses a credit-based system where monthly character limits determine your plan. Free plan has 10,000 characters/month. Starter tier ($5/month) provides 30,000 characters. Creator ($22/month) includes 121,000 credits. Annual billing offers approximately 17% savings (2 free months equivalent).

Source
JMP: Can I put a JMP model into production?

Only by exporting the scoring formula as SQL, C, Python or similar and running it in another system. JMP itself does not serve, monitor or retrain models.

ElevenLabs: What happens if I exceed my monthly character limit?

Exceeding your monthly quota requires upgrading to a higher plan. Users report pricing unpredictability, with actual usage averaging 220-280 credits per 1,000 characters when accounting for regenerations, often exceeding advertised usage estimates.

Source
JMP: Who actually uses it?

Process and quality engineers, and scientists in R&D, particularly in semiconductor, chemicals, pharmaceutical and medical device work. It is not usually chosen by data engineering or platform teams.

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