Read AI vs Otter AI: one scores your meetings, the other writes them down

I pulled the Read AI and Otter pricing pages on 20 August 2026 and put them side by side. Read AI Pro lists at $19.75 per user per month, or $15 billed annually. Otter Pro lists at $16.99, or $8.33 billed annually. So Read AI vs Otter AI isn’t really a price fight. It’s a fight about what a meeting is.

Otter treats a meeting as a recording that has to become searchable text. Read AI treats a meeting as an event that can be measured and scored. That disagreement runs all the way down through the feature tables, the pricing units, and the argument your team is going to have at renewal time.

Read AI vs Otter AI, in one paragraph

Read AI vs Otter AI is a choice between meeting analytics and meeting notes. Read AI records the call and then rates it, with speaker sentiment, engagement scores, and a coaching report carrying metrics like “talking speed, filler words, bias, and charisma”. Otter records the call and hands back a transcript with speaker labels, a summary with action items, and a chat box you can query. Both give you a transcript. One of them also gives you an opinion about how you behaved.

The rest of this is receipts.

Pricing, checked on 20 August 2026

Everything in this table came off read.ai/pricing and otter.ai/pricing on 20 August 2026. Both vendors move numbers around, so treat this as a dated snapshot and re-check before you put a card in.

Two rows there deserve a longer look.

First, the free tiers count different things, and that’s more important than which one looks bigger. Read AI’s free plan gives you “5 meeting transcripts per month” and stops a recording at one hour. Otter’s Basic gives you 300 monthly transcription minutes and stops any single conversation at 30 minutes. If your calls run 25 minutes, Otter’s free tier covers about twelve of them and Read AI’s covers five. If your calls run 55 minutes, Read AI covers five whole ones and Otter covers ten halves. The unit is doing more work here than the number.

Second, playback sits surprisingly high on the Read AI ladder. Its feature table marks audio and video playback as absent on both Free and Pro, so at $19.75 you get the report and the transcript but not the recording to replay. Otter lists audio recording playback on Basic, its free plan. If rewatching a call is part of how you work, that gap matters a lot more than the $2.76 a month between the two Pro tiers.

What Read AI’s analytics actually give you

Read AI’s own page describes its transcription as the dialogue broken out by speaker, “augmented with listener sentiment and engagement”. That phrase is the whole product thesis. The transcript is table stakes. The sentiment and engagement layer is what the money is for.

Sitting on top of that are three named features. Meeting Coach writes a personal report with metrics like “talking speed, filler words, bias, and charisma”. For You Insights is described as “Ranked topics across meetings based on your engagement”. Recommendations promises to “Automatically optimize your meetings for fewer attendees, higher engagement, and better outcomes”. There’s also a Meeting Policy row covering individual and team benchmarks such as timeliness.

I like the coach report more than I thought I would. The sentiment score is where I get uneasy. A model watching faces and listening to tone over a laggy video call is inferring a feeling, not measuring one, and I don’t think a tidy number should carry that much confidence. Roll Read AI out across a 40-person sales org, start comparing engagement scores between reps in a spreadsheet, and you’ve quietly turned an inference into a performance metric. Maybe that still beats flying blind. I genuinely don’t know.

One thing to ask them about: language support is stated two ways on the same page. The free plan bullet says 20+ languages supported, while the feature table says meeting reports are available in 16+ languages. If a specific language is the reason you’re buying, get that in writing. For teams who’ve already ruled it out on price, we keep a running list of Read AI alternatives.

Otter is a transcript engine with a chat box bolted on

Otter’s feature table has exactly one row that reads like conversation analytics: “Keywords and speaker talk time”. Talk time is a metric sales managers really do act on, and it’s cheap to compute from a diarised transcript, so it makes sense that it’s there. There’s no scoring layer above it, and Otter doesn’t claim one.

The chat is metered, and the meter is easy to miss on the way in. The row labelled “Max monthly queries for Otter AI Chat” lists 20 per user on Basic (3 per conversation), 50 per user on Pro, and 200 per user on Business and Enterprise. Two hundred questions a month is plenty for one person skimming their own notes. It’s thin if asking the chat is how your team reads their meetings.

Otter’s Business tier adds “Enhanced admin features: activity logs, usage analytics, and more”. Read that as seat and usage reporting for whoever owns the invoice, not as insight into your calls.

Two more caps quietly decide this for teams. Max workspace members runs 5 on Basic, 5 billed users on Pro, 25 billed users on Business, and unlimited on Enterprise, so a 30-person company outgrows Business on headcount before it outgrows it on minutes. Otter’s single sign-on and SCIM user provisioning rows both carry a minimum 100-user licence requirement. If SSO is a procurement gate where you work and you’re buying 25 seats, that is a thing to raise on the first call rather than the fourth.

Compliance splits along the same line with a different shape. Read AI puts HIPAA compliance, SAML and SCIM, domain capture and custom data retention on Enterprise+ at $39.75 a month, and that tier requires 5 or more licences. Otter puts SSO, SCIM and domain capture on its Enterprise plan, and lists HIPAA compliance as an add-on rather than something included. Read AI’s version at least has a published number attached. Otter’s is a phone call.

The transcription caps are the other thing to check before you commit. The row “Meeting & recording transcription monthly limit (no rollover)” gives 300 minutes per user on Basic and 1,200 on Pro, then goes unlimited on Business and Enterprise. Imported files sit on a separate meter, capped at 6,000 minutes per user on the two team plans. And “Max transcription time per conversation” runs 30 minutes, then 90 minutes, then 4 hours on Business and Enterprise, which is the row that ambushes anyone running long workshops from a Pro seat.

Which one should you pick?

Pick Otter if you want cheap, searchable, exportable records of what was said. Pick Read AI if you run a meeting-heavy organisation and you want data about how the meetings themselves are going, and you can accept that playback starts at the $29.75 tier. Neither is a weak product. They answer different questions.

Some concrete cases, because the abstract version doesn’t help much:

• Solo consultant, 6 to 10 client calls a week, wants a searchable archive: Otter Pro at $8.33 annually. Check the 90 minute per-conversation cap against your longest call first.
• Sales team of 12 already living in Salesforce or HubSpot: both vendors integrate on paid plans, but Otter footnotes its Salesforce and HubSpot integrations as subject to user limits. Ask how many seats sync before you sign.
• Ops lead trying to prove the Tuesday sync is a waste of 14 people’s time: Read AI. That’s precisely what the Meeting Policy and Recommendations rows exist for.
• Anyone who needs to rewatch a call: Otter from its free Basic plan, or Read AI from Enterprise at $29.75.

Still shortlisting? Our roundup of AI note-taking apps for meetings covers the tools that sit between these two on price.

Both of them send a bot into your call

Read AI and Otter both work by joining your meeting as a participant. Read AI’s pricing page sells custom assistant branding, which lets you rename the thing that shows up and, on Zoom, change its logo. Otter joins Zoom, Microsoft Teams and Google Meet to write and share notes. Either way a named guest lands in the participant list, and in some rooms that’s a conversation you’d rather not have with a client.

That’s the gap Craqly was built for. It runs on your own machine and listens to the audio you’re already hearing, so nothing joins the call and nobody sees a notetaker in the roster. Craqly’s pricing page on 20 August 2026 lists Starter at $0 with 20 credits a month, Pro at $38 monthly or $19 on the yearly plan with 180 credits, Pro Max at $59 or $39 with 420 credits, and Ultra at $99 or $69 with 780 credits. The unit is spelled out as “1 credit = 1 minute of live session · credits reset every month”, and “Stealth mode (undetectable)” is listed on the free Starter tier as well as the paid ones. If the no-bot requirement is what brought you to this page, our Otter alternatives that skip the meeting bot post goes deeper on it.

The question I’d actually sit with before paying either vendor is whether anybody on your team will open the analytics a second time. Read AI’s scores are the more interesting product and the easier one to quietly stop reading. Otter’s transcripts are dull, and people keep searching them nine months later. Dull compounds.