Softwr

AI · head to head

LangGraph vs Rev

LangGraph logo

LangGraph

AI

Agent runtime and orchestration framework

From
Free
Rated
-
Rev logo

Rev

AI

Human and AI transcription, captions and subtitles priced per minute

From
Free
Rated
-

The short version

  • Each has a real cost: LangGraph steeper learning curve compared to high-level abstractions; 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: LangGraph covers Human-in-the-loop controls, Rev covers Human transcription.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which LangGraph and Rev actually diverge.

Attributes where LangGraph and Rev differ
AttributeLangGraphRev
Pricing modelOpen source and free, with optional managed platformPer minute for human work, per seat per month for AI
PlatformsPython, JavaScript, WebWeb, iOS, Android, API

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

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 LangGraph

  • Human-in-the-loop controls
  • Customizable workflows
  • Memory management
  • Token-by-token streaming
  • Low-level control
  • Multi-agent support

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.

LangGraph

  • Building production AI agents with auditable workflowsnot Rev
  • Designing multi-agent systems for complex tasksnot Rev
  • Implementing human oversight in autonomous systemsnot Rev
  • Creating reliable agentic applications at scalenot 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 LangGraph
  • 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 LangGraph
  • A broadcaster needing compliant human captions rather than machine captions, where accuracy is a regulatory requirement and not a convenience.not LangGraph
  • 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 LangGraph

Where each one falls short

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

LangGraph

  • Steeper learning curve compared to high-level abstractions
  • Requires understanding of graph-based architecture
  • Debugging complex workflows can be challenging
  • Not optimized for simple, one-off use cases

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

LangGraph

Free
  • Open SourceFree
    • MIT-licensed framework
    • Self-hosted deployment
    • Full API access
  • LangGraph Platform$35/month
    • Managed hosting
    • Enterprise deployment
    • Integrated tooling

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 LangGraph if

  • You need human-in-the-loop controls.
  • You want to start without paying.
  • You work on Python, JavaScript, Web.
  • You also want customizable workflows.

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 LangGraph or Rev better?
Neither clearly leads. LangGraph 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, LangGraph or Rev?
LangGraph starts at Free and Rev at Free.
Does LangGraph or Rev run on more platforms?
LangGraph runs on Python, JavaScript, Web. Rev runs on Web, iOS, Android, API.
Can I use LangGraph for free?
Both have a free tier, so you can try either at no cost before committing.
What is LangGraph best used for?
LangGraph is most often used for building production ai agents with auditable workflows, designing multi-agent systems for complex tasks, implementing human oversight in autonomous systems, creating reliable agentic applications at scale. Of those, building production ai agents with auditable workflows and designing multi-agent systems for complex tasks are not what Rev is typically brought in for.
What can LangGraph do that Rev cannot?
LangGraph covers Human-in-the-loop controls, Customizable workflows, Memory management, Token-by-token streaming. Rev covers Human transcription, AI transcription, Captions and subtitles, Legal transcripts.

Answered from the vendors’ own pages

LangGraph: Is LangGraph free to use?

Yes. The core LangGraph framework is MIT-licensed and completely free. You only pay if you use the optional managed LangGraph Platform for hosting.

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.

LangGraph: What programming languages does LangGraph support?

LangGraph provides first-class support for Python and JavaScript, enabling cross-platform agent development.

Source
Rev: Is there a free tier?

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

LangGraph: Can I deploy LangGraph in production?

Yes. LangGraph can be self-hosted on your own infrastructure or deployed through LangGraph Platform with enterprise support and SLA guarantees.

Source
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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