Softwr

Machine Learning · head to head

Ollama vs Rev

Ollama logo

Ollama

Machine Learning

Open-source tool for running LLMs locally on desktop and servers

From
Free
Free plan
Yes
Full reviewWebsite
Rev logo

Rev

AI

Human and AI transcription, captions and subtitles priced per minute

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Ollama requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines; 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.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Ollama and Rev actually diverge.

Attributes where Ollama and Rev differ
AttributeOllamaRev
Pricing modelfreemiumPer minute for human work, per seat per month for AI
PlatformsmacOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted)Web, 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 Ollama

Nothing recorded that Rev does not also cover.

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.

Ollama

  • Local development and testing without API costs or rate limitsnot Rev
  • Privacy-sensitive applications requiring data to remain on-devicenot Rev
  • Cost-sensitive deployments where computational resources are already availablenot Rev
  • Fully offline environments or air-gapped networksnot 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 Ollama
  • 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 Ollama
  • A broadcaster needing compliant human captions rather than machine captions, where accuracy is a regulatory requirement and not a convenience.not Ollama
  • 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 Ollama

Where each one falls short

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

Ollama

  • Requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines
  • No hosted service option for inference; all computational burden falls to user
  • Limited to open-weight models; cannot run proprietary models like GPT-4 or Claude locally
  • Performance depends entirely on user's hardware; no SLAs or guarantees on speed

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

Ollama

Free
  • FreeFree
    • CLI, API, desktop apps
    • Unlimited public models
    • 40,000+ community integrations
  • Pro$20/month
    • Access to larger, more powerful cloud models
    • Run 3 concurrent cloud models
    • 50x more usage than Free
  • Max$100/month
    • Run 10 concurrent cloud models
    • 5x more usage than Pro
  • Team$25/month
    • Per seat pricing (5-seat minimum = $125/month)
    • Shared billing
    • Zero data retention

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 Ollama if

  • You want to start without paying.
  • You work on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
Ollama review

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.
Rev review

Questions people ask

Is Ollama or Rev better?
Neither clearly leads. Ollama 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, Ollama or Rev?
Ollama starts at Free and Rev at Free.
Does Ollama or Rev run on more platforms?
Ollama runs on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted). Rev runs on Web, iOS, Android, API.
Can I use Ollama for free?
Both have a free tier, so you can try either at no cost before committing.
What is Ollama best used for?
Ollama is most often used for local development and testing without api costs or rate limits, privacy-sensitive applications requiring data to remain on-device, cost-sensitive deployments where computational resources are already available, fully offline environments or air-gapped networks. Of those, local development and testing without api costs or rate limits and privacy-sensitive applications requiring data to remain on-device are not what Rev is typically brought in for.
What can Ollama do that Rev cannot?
Rev covers Human transcription, AI transcription, Captions and subtitles, Legal transcripts.

Answered from the vendors’ own pages

Ollama: How much does Ollama cost?

Ollama is free to use with unlimited public models. Pro paid plans start at $20/month for 3 concurrent cloud models, or $100/month for Max with 10 concurrent models. Team plans cost $25/seat/month with a 5-seat minimum.

Source
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.

Ollama: What does the Ollama free tier include?

The free tier includes CLI and API access, unlimited public models, 40,000+ community integrations, and private data retention, though limited to 1 concurrent cloud model.

Source
Rev: Is there a free tier?

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

Ollama: How much usage is included with each Ollama plan?

Pro includes 50x more usage than Free, and Max includes 5x more usage than Pro. Session limits reset every 5 hours and weekly limits reset every 7 days across all tiers.

Source
Rev: Do unused AI minutes roll over?

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

Ollama: Does Ollama log or train on user data?

No, Ollama explicitly states that prompt or response data is never logged or trained on, protecting user privacy across all plans.

Source
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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