AI · head to head
LOVO vs Seldon

Seldon
Machine Learning
Kubernetes model serving whose current version is licensed under the Business Source Licence
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: LOVO the vendor's own pricing page as captured by the Internet Archive on 6 December 2022 listed LOVO Studio at three tiers in US dollars: Free at $0 with 3 downloads per month and 3 day access to premium voices for personal use only; Personal at $17.99 per month paid annually (or $25.99 paid monthly, both promotionally discounted from $34.99/$49.99) capped at 15,000 characters per download and up to 30 downloads per month with commercial rights; and Freelancer at $99.99 per month paid annually (or $149.99 paid monthly) with up to 100 downloads per month and commercial rights; API pricing required a custom quote; Seldon seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
- They diverge on capability: LOVO covers 500+ voices, Seldon covers Kubernetes custom resources.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which LOVO and Seldon actually diverge.
Identical on both: starting price (Free), pricing model (freemium), 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 LOVO
- 500+ voices
- 100+ languages
- Emotion control
- Video editor
- API access
- Video creation tools
- Web support
- Api support
Only in Seldon
- Kubernetes custom resources
- Inference graphs
- Traffic strategies
- Open Inference Protocol
- Alibi Explain
- Alibi Detect
- Kafka-backed pipelines in v2
- Commercial control plane
What people use each for
The jobs each tool is most often brought in to do.
LOVO
- ai tools managementnot Seldon
- Workflow automationnot Seldon
- Reportingnot Seldon
Seldon
- Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot LOVO
- Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot LOVO
- Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot LOVO
- Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot LOVO
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
LOVO
- The vendor's own pricing page as captured by the Internet Archive on 6 December 2022 listed LOVO Studio at three tiers in US dollars: Free at $0 with 3 downloads per month and 3 day access to premium voices for personal use only; Personal at $17.99 per month paid annually (or $25.99 paid monthly, both promotionally discounted from $34.99/$49.99) capped at 15,000 characters per download and up to 30 downloads per month with commercial rights; and Freelancer at $99.99 per month paid annually (or $149.99 paid monthly) with up to 100 downloads per month and commercial rights; API pricing required a custom quote
Seldon
- Seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
- Core v1 remains Apache 2.0 but is in maintenance, so taking the free route means running software that receives no new development while the architecture it belongs to moves on without it.
- Version 2 is a different system rather than a newer release, with different custom resources, a scheduler component and a Kafka-based pipeline model, so migrating from v1 is a re-implementation of every deployment manifest rather than an upgrade.
- Kafka is a dependency for v2 pipelines, so an organisation that does not already operate it takes on a distributed log with its own storage, retention, rebalancing and failure modes purely in order to serve models.
- Everything assumes Kubernetes fluency and the failure modes are Kubernetes failure modes, custom resource version mismatches, an operator that will not reconcile, admission webhooks and resource limits terminating an inference pod mid-request, so it needs a platform engineer rather than a data scientist.
Pricing, plan by plan
LOVO
Free- FreeFree
- 14-day trial
- Limited features
- Basic$24/month
- 30 downloads/month
- All voices
- Pro$48/month
- Unlimited downloads
- Voice cloning
Seldon
Free- Seldon CoreFree
- Open source
- Kubernetes deployment
- Model serving
- Seldon DeployFree
- Enterprise features
- GUI
- Monitoring
Which should you pick?
Choose LOVO if
- You need 500+ voices.
- You want to start without paying.
- You work on Web, Api.
- You also want 100+ languages.
Choose Seldon if
- You need kubernetes custom resources.
- You want to start without paying.
- You work on Linux.
- You also want inference graphs.
Questions people ask
- Is LOVO or Seldon better?
- Neither clearly leads. LOVO starts at Free and Seldon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, LOVO or Seldon?
- LOVO starts at Free and Seldon at Free.
- Does LOVO or Seldon run on more platforms?
- LOVO runs on Web, Api. Seldon runs on Linux.
- Can I use LOVO for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is LOVO best used for?
- LOVO is most often used for ai tools management, workflow automation, reporting. Of those, ai tools management and workflow automation are not what Seldon is typically brought in for.
- What can LOVO do that Seldon cannot?
- LOVO covers 500+ voices, 100+ languages, Emotion control, Video editor. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.
Answered from the vendors’ own pages
Seldon: Is Seldon open source?
Partly, and this is the thing to check before you build on it. Core v1 is Apache 2.0 but in maintenance. Core v2 was moved to the Business Source Licence in 2024, which allows evaluation but not unlicensed production use. Verify the current licence of each component you intend to run, including MLServer and the Alibi libraries.
Seldon: What is the difference between v1 and v2?
Architecture, not just version number. v2 introduces a scheduler, a different set of custom resources and Kafka-backed pipelines. Manifests, mental model and operations all change, so treat a move as a project.
Seldon: Do I need Kubernetes?
Yes. It is a Kubernetes-native system and there is no meaningful deployment without a cluster and someone competent to run it.
Seldon: What is MLServer?
Seldon's Python inference server implementing the Open Inference Protocol, usable inside Seldon deployments or on its own. Check its current licence alongside Core's, since the company has moved projects onto the Business Source Licence.
Seldon: Do I have to run Kafka?
For v2 pipelines, yes. If you only need single models served, that dependency is a large amount of infrastructure for the benefit, and a simpler serving layer may be the better answer.
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