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Machine Learning · head to head

ClearML vs Rev

ClearML logo

ClearML

Machine Learning

Open-source MLOps platform for experiment tracking and orchestration

From
Free
Free plan
Yes
Rev logo

Rev

AI

Human and AI transcription, captions and subtitles priced per minute

From
Free
Free plan
Yes

The short version

  • Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; Rev human transcription at 1.99 US dollars a minute means roughly 120 dollars an hour of audio, so a long-form interview series costs more in transcription than most teams assume before they run the arithmetic.
  • They diverge on capability: ClearML covers Experiment tracking, Rev covers Human transcription.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which ClearML and Rev actually diverge.

Attributes where ClearML and Rev differ
AttributeClearMLRev
Pricing modelOpen-source self-hosted, with paid hosted and enterprise tiersPer minute for human work, per seat per month for AI
PlatformsLinux, macOS, Windows, Docker, KubernetesWeb, iOS, Android, API
CategoryMachine LearningAI

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 ClearML

  • Experiment tracking
  • Remote execution
  • Data versioning
  • Pipelines

Only in Rev

  • Human transcription
  • AI transcription
  • Captions and subtitles
  • Legal transcripts
  • File analysis
  • Clio integration
  • Rev API
  • Speaker identification

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 Rev
  • Moving training from laptops to shared GPU hardware without repackagingnot Rev
  • Versioning datasets alongside the experiments that consumed themnot Rev

Rev

  • A law firm that needs a deposition transcript in a court-acceptable page format with a fixed turnaround and a published per-page price it can bill to a matter.not ClearML
  • A documentary or podcast producer costing a project in advance, because human transcription at a published per-minute rate makes the transcription line item a known number.not ClearML
  • A broadcaster needing compliant human captions rather than machine captions, where accuracy is a regulatory requirement and not a convenience.not ClearML
  • A team with high AI volume and occasional high-stakes files, using the subscription for the bulk and paying the discounted human rate only where accuracy matters.not 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

Rev

  • Human transcription at 1.99 US dollars a minute means roughly 120 dollars an hour of audio, so a long-form interview series costs more in transcription than most teams assume before they run the arithmetic.
  • AI minutes are allocated per seat per month and do not roll over, so bursty workloads, which is how most media production actually behaves, waste allowance in quiet months and run out in busy ones.
  • The product direction has moved towards legal and investigative use, so a newsroom or media buyer is choosing a tool whose roadmap priority sits elsewhere.
  • Foreign-language subtitles are priced from 6.49 to 15.99 US dollars per minute, an order of magnitude above transcription, which makes multi-language localisation of any volume of video expensive enough to change the plan.
  • Human turnaround is stated in hours rather than guaranteed contractually on the published plans, so a hard broadcast or filing deadline needs an agreement beyond the standard terms.

Pricing, plan by plan

ClearML

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

Rev

Free
  • FreeFree
    • 45 AI transcription and caption minutes per month
    • Up to 5 files analysed
    • No human transcription included
  • Essentials$25.49/month
    • 5,000 AI minutes per seat per month
    • Up to 3 seats
    • 10 per cent discount on human transcription, captions and subtitles
  • Pro$47.99/month
    • 10,000 AI minutes per seat per month
    • Up to 5 seats
    • 15 per cent discount on human work
  • Unlimited$undefined/month
    • Unlimited AI minutes
    • Up to 500 files analysed at once
    • Dedicated account specialist

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.

Choose Rev if

  • You need human transcription.
  • You want to start without paying.
  • You work on Web, iOS, Android, API.
  • You also want ai transcription.

Questions people ask

Is ClearML or Rev better?
Neither clearly leads. ClearML starts at Free and Rev at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClearML or Rev?
ClearML starts at Free and Rev at Free.
Does ClearML or Rev run on more platforms?
ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Rev runs on Web, iOS, Android, API.
Can I use ClearML for free?
Both have a free tier, so you can try either at no cost before committing.
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 Rev is typically brought in for.
What can ClearML do that Rev cannot?
ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Rev covers Human transcription, AI transcription, Captions and subtitles, Legal transcripts.

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.

Rev: How much is human transcription?

1.99 US dollars per minute with a stated accuracy target above 99 per cent, typically returned within 12 hours. Subscribers get 10 to 15 per cent off.

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.

Rev: Is there a free tier?

Yes, 45 AI minutes per month and up to 5 files analysed, with no human transcription included.

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.

Rev: Do unused AI minutes roll over?

No. The allowance is per seat per month and resets, which penalises irregular workloads.

Rev: Can it do subtitles in other languages?

Yes, across seventeen languages, priced from 6.49 to 15.99 US dollars per minute, considerably more than transcription.

Rev: Is Rev still a good choice for newsrooms?

It works, but the subscription tiers are now positioned around legal and investigative workflows, so a newsroom should compare it against a tool built specifically for journalism.

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