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Machine Learning · head to head

ClearML vs Verbit

ClearML logo

ClearML

Machine Learning

Open-source MLOps platform for experiment tracking and orchestration

From
Free
Free plan
Yes
Full reviewWebsite
Verbit logo

Verbit

AI

Transcription and captioning combining automatic speech recognition with professional human correction

From
$24/month
Free plan
No
Full reviewWebsite

The short version

  • Only ClearML has a free tier, so it costs nothing to try first.
  • Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; Verbit only a small self-service tier has a published price; the institutional plans that most education buyers actually need are quoted, so budgeting requires a sales cycle and comparison against competitors requires several.
  • They diverge on capability: ClearML covers Experiment tracking, Verbit covers ASR with human correction.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which ClearML and Verbit actually diverge.

Attributes where ClearML and Verbit differ
AttributeClearMLVerbit
Starting priceFree$24/month
Pricing modelOpen-source self-hosted, with paid hosted and enterprise tiersPer month by transcription hours
Free tierYesNo
PlatformsLinux, macOS, Windows, Docker, KubernetesWeb, API
CategoryMachine LearningAI

Identical on both: 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 ClearML

  • Experiment tracking
  • Remote execution
  • Data versioning
  • Pipelines

Only in Verbit

  • ASR with human correction
  • Live realtime captioning
  • Domain-tuned models
  • Translation and subtitling
  • Audio description
  • LMS and video platform integrations
  • Court-admissible transcripts
  • Turnaround tiers

What people use each for

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

ClearML

  • Tracking experiments across a team so results are reproduciblenot Verbit
  • Moving training from laptops to shared GPU hardware without repackagingnot Verbit
  • Versioning datasets alongside the experiments that consumed themnot Verbit

Verbit

  • A university that must caption recorded teaching to meet accessibility law and wants machine output for general content with human correction only where a student accommodation appliesnot ClearML
  • A broadcaster needing live realtime captioning to regulatory standard, which the VITAC operation supplies rather than a pure software vendornot ClearML
  • A law firm or court reporting operation needing certified transcripts of depositions with a defensible chain of accuracynot ClearML
  • A market research team transcribing focus groups where speaker separation and verbatim fidelity matter more than turnaround speednot ClearML

Where each one falls short

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

ClearML

  • Broad scope means more to learn and more to run than a focused tracking tool
  • Self-hosting the server is real infrastructure — database, file storage and web server
  • Documentation quality is uneven across the newer parts of the platform
  • Smaller community than the most popular tracking tools, so fewer worked examples exist

Verbit

  • Only a small self-service tier has a published price; the institutional plans that most education buyers actually need are quoted, so budgeting requires a sales cycle and comparison against competitors requires several.
  • Accuracy claims are benchmarked on clean audio with standard accents, and real lecture theatre recordings with technical vocabulary and non-native speakers fall well short, so the contracted level and the audio assumptions behind it must be written into the agreement.
  • The human correction layer is what delivers the accuracy institutions buy, and it introduces turnaround times measured in hours or days, which does not suit anyone expecting transcripts immediately after a session.
  • Cost scales with hours of content, so an institution that recorded everything during remote teaching and never reduced the volume can find transcription costing more than the lecture capture platform generating the recordings.
  • Verbit has grown by acquisition and consolidated several transcription brands, and customers of acquired services have been migrated onto Verbit contracts and pricing on the acquirer's timetable rather than their own.

Pricing, plan by plan

ClearML

Free
  • Open sourceFree
    • Experiment tracking
    • Pipelines
    • Self-hosted server

Verbit

$24/month
  • Standard$24/month
    • From $24 per month
    • 100 hours per month split as 50 live and 50 post-production
    • Self-service sign-up
  • Campus Complete$undefined/year
    • Unlimited hours for an institution
    • Built around media accessibility obligations
    • LMS and lecture capture integrations
  • Legal Capture and Legal Visor$undefined/year
    • Unlimited legal transcription with court-admissible transcripts on request
    • Live AI transcription and case insights
    • Quoted
  • Custom$undefined/year
    • Enterprise deployment across the product suite
    • Negotiated accuracy levels and turnaround
    • Quoted

Which should you pick?

Choose ClearML if

  • You need experiment tracking.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes.
  • You also want remote execution.
ClearML review

Choose Verbit if

  • You need asr with human correction.
  • You work on Web, API.
  • You also want live realtime captioning.
Verbit review

Questions people ask

Is ClearML or Verbit better?
Neither clearly leads. ClearML starts at Free and Verbit at $24/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClearML or Verbit?
ClearML has a free tier; the other does not. Paid plans start at Free for ClearML and $24/month for Verbit.
Does ClearML or Verbit run on more platforms?
ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Verbit runs on Web, API.
Can I use ClearML for free?
Yes. ClearML has a free tier, so you can try it without paying. Verbit starts at $24/month.
What is ClearML best used for?
ClearML is most often used for tracking experiments across a team so results are reproducible, moving training from laptops to shared gpu hardware without repackaging, versioning datasets alongside the experiments that consumed them. Of those, tracking experiments across a team so results are reproducible and moving training from laptops to shared gpu hardware without repackaging are not what Verbit is typically brought in for.
What can ClearML do that Verbit cannot?
ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Verbit covers ASR with human correction, Live realtime captioning, Domain-tuned models, Translation and subtitling.

Answered from the vendors’ own pages

ClearML: Is ClearML free?

The open-source version is free and self-hostable. Hosted and enterprise tiers are paid.

Verbit: Is there published pricing?

Only for the entry Standard tier at around $24 a month for 100 hours split between live and post-production. Campus Complete and the legal and media unlimited plans are quoted.

ClearML: How much code does tracking require?

Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.

Verbit: What accuracy does Verbit deliver?

Machine-only output is materially less accurate than the corrected tiers. Accuracy is a contracted service level on the human-corrected plans, and it assumes reasonable audio quality. Negotiate the figure and the remedy, not the marketing number.

ClearML: Does ClearML replace MLflow?

It covers MLflow’s tracking and adds orchestration, remote execution and data versioning. Whether that breadth is an advantage or extra weight depends on whether you need the rest.

Verbit: What is VITAC?

A large North American broadcast captioning business Verbit acquired in 2021. It is why Verbit can supply live realtime captioning at broadcast standard rather than only post-production transcripts.

Verbit: Can I mix machine and human transcription?

Yes, and it is the main reason education buyers choose Verbit: route routine content through machine processing and accommodation-covered content through human correction on the same account.

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