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Software · head to head

Make vs Otter.ai

Make logo

Make

Software

The platform for the new way of working

From
Free
Rated
-
Otter.ai logo

Otter.ai

Software

Transcription and meeting notes powered by AI

From
Free
Rated
-

The short version

  • Each has a real cost: Make free tier limited to 1,000 credits per month; Otter.ai two separate limits apply at once, a monthly minute allowance and a per conversation cap, so a long meeting can be cut short with allowance remaining
  • They diverge on capability: Make covers Visual workflow builder, Otter.ai covers Automatic transcription.

Where they differ

Only the attributes on which Make and Otter.ai actually diverge.

Attributes where Make and Otter.ai differ
AttributeMakeOtter.ai
Pricing modelfreemiumsubscription
PlatformsWebWeb, Ios, Android, Mac
Founded20132016

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

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 Make

  • Visual workflow builder
  • Webhooks
  • API connectors
  • Conditional logic
  • Data transformation
  • Error handling
  • Scheduling
  • Team collaboration

Only in Otter.ai

  • Automatic transcription
  • Real-time transcription
  • Speaker identification
  • Searchable transcripts
  • Highlights and summaries
  • Sharing
  • Mobile apps
  • Zoom

Both cover

  • Salesforce
  • GDPR compliant
  • Cloud deployment
  • Web support

What people use each for

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

Make

  • Automating integrations between 3,000+ pre-built applicationsnot Otter.ai
  • Building AI agents and workflow automation without extensive codingnot Otter.ai
  • Enterprise automation with GDPR, SOC 2 Type II compliancenot Otter.ai
  • Rapid deployment of automations from concept to livenot Otter.ai

Otter.ai

  • Transcribing meetings and generating summaries automaticallynot Make
  • Searching and sharing notes from recorded conversationsnot Make

Where each one falls short

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

Make

  • Free tier limited to 1,000 credits per month
  • Free tier restricted to 2 active scenarios maximum
  • Free tier enforces 15-minute minimum scheduling interval
  • Credit-based model means costs scale with usage volume, not just features

Otter.ai

  • Two separate limits apply at once, a monthly minute allowance and a per conversation cap, so a long meeting can be cut short with allowance remaining
  • The free plan cuts off at 30 minutes per conversation and 300 minutes a month
  • The Pro plan still caps a single conversation at 90 minutes
  • Even unlimited plans cap a conversation at 4 hours
  • Imported file transcription has its own separate monthly limit, at 6,000 minutes on Business
  • Paying monthly rather than annually roughly doubles the rate, from $8.33 to $16.99 on Pro

Pricing, plan by plan

Make

Free

No published plan breakdown. See the Make review.

Otter.ai

Free
  • BasicFree
    • 600 minutes transcription
    • 3 searches
    • Basic sharing
  • Pro$10/month
    • 6000 minutes transcription
    • Unlimited searches
    • Team collaboration

Which should you pick?

Choose Make if

  • You need visual workflow builder.
  • You want to start without paying.
  • You also want webhooks.

Choose Otter.ai if

  • You need automatic transcription.
  • You want to start without paying.
  • You work on Web, Ios, Android, Mac.
  • You also want real-time transcription.

Questions people ask

Is Make or Otter.ai better?
Neither clearly leads. Make starts at Free and Otter.ai at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Make or Otter.ai?
Make starts at Free and Otter.ai at Free.
Does Make or Otter.ai run on more platforms?
Make runs on Web. Otter.ai runs on Web, Ios, Android, Mac.
Can I use Make for free?
Both have a free tier, so you can try either at no cost before committing.
What is Make best used for?
Make is most often used for automating integrations between 3,000+ pre-built applications, building ai agents and workflow automation without extensive coding, enterprise automation with gdpr, soc 2 type ii compliance, rapid deployment of automations from concept to live. Of those, automating integrations between 3,000+ pre-built applications and building ai agents and workflow automation without extensive coding are not what Otter.ai is typically brought in for.
What can Make do that Otter.ai cannot?
Make covers Visual workflow builder, Webhooks, API connectors, Conditional logic. Otter.ai covers Automatic transcription, Real-time transcription, Speaker identification, Searchable transcripts. Both handle Salesforce, GDPR compliant, Cloud deployment, Web support.

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