Last quarter, a sales team I follow switched away from Notta after their AE started a call with a prospect who’d already spoken to two other reps. Notta had transcribed every call faithfully. Nobody had surfaced what the prospect said they needed. The transcript was sitting in a tab nobody opened. That’s a product design problem, not a storage problem.
Notta does transcription well. It supports over 100 languages, the accuracy is good for clear audio, and the pricing is accessible. The problem is that accurate transcription is now table stakes. The tools buyers are comparing in 2026 are competing on what happens after the transcript: real-time prompts, automatic summaries, CRM pushes, action item extraction, coaching signals. On those dimensions, Notta is behind.
Here’s how six alternatives compare, and honestly, which one makes sense depends heavily on your use case.
What’s actually changed since 2024
Two years ago the differentiation between meeting tools was mostly accuracy and language support. Those gaps are small now. GPT-4-class models run on top of Whisper-class transcription, and the transcripts from Otter, Fathom, Fireflies, Craqly, and tl;dv are all roughly comparable in accuracy for standard English.
The real differentiation now is latency and intelligence. Real-time tools that surface information during a call are genuinely different from tools that give you a summary afterward. For sales and interview use cases especially, the “during” version is more valuable than the “after” version. You can’t act on a post-call summary during the call.
This matters for how you evaluate alternatives. If you’re replacing Notta because you want better summaries, you’re looking at one set of tools. If you’re replacing it because you want real-time intelligence during calls, that’s a different set.
Craqly
Craqly is built specifically for live sessions: job interviews, sales calls, and meetings where the outcome depends on what you say in the moment. It’s less of a recording archive and more of a real-time copilot. During a call, it can surface relevant information, suggest talking points, or flag when a topic comes up that you’d planned to cover.
The focus on live assistance means it fills a gap that post-call summary tools don’t. If you’re using Notta primarily to review transcripts after meetings, Craqly will feel different. If you’ve ever wished you could have a quiet briefing mid-call without a colleague in the room, the use case makes sense immediately.
Free tier: 30 minutes. Paid plans start at $38/month for 3 hours of session time. It’s positioned toward people doing high-stakes live sessions rather than bulk recording.
Otter.ai
Otter has the largest free tier in this space: 300 minutes per month. For teams that mostly want meeting transcripts stored and searchable, Otter is hard to beat on cost. The AI summary feature has improved substantially since 2023 and now includes action item extraction that’s reasonably accurate for standard meeting formats.
The weakness is real-time use. Otter’s interface is built around post-meeting review. The live transcript view exists but isn’t designed as a coaching surface. For sales or interview contexts where you want in-meeting prompts, it’s not the right tool.
Where it makes sense: recurring internal meetings, team standups, board calls where the primary need is an archived searchable transcript.
Fathom
Fathom is the tool I hear recommended most often by individual sales reps and account executives in 2025 and 2026, and I think that reputation is earned. The highlight-during-call feature is genuinely useful: you press a button when something important is said, and Fathom marks it in the transcript for later review. The CRM integration is also strong, particularly for Salesforce and HubSpot users who want call notes pushed automatically.
The free tier is limited but functional. Paid plans start at around $19/month. If you’re doing outbound sales and your main problem is “I forget what the prospect said about their timeline,” Fathom solves it cleanly.
Less useful for: technical interviews, internal planning meetings, any session where you need active assistance rather than passive recording.
Fireflies.ai
Fireflies competes primarily on breadth: it integrates with more platforms than most alternatives (Zoom, Teams, Google Meet, WebEx, even some phone systems), and the search across transcripts is good. For larger teams that record many meetings across multiple platforms, the unification is genuinely valuable.
The Pro plan is $18/month per user, which is reasonable for teams. The AI summaries are auto-generated and generally accurate, though I’ve seen them miss context in highly technical discussions where the model doesn’t know the domain well.
Worth noting: Fireflies’ value compounds with team size. One person using it gets searchable transcripts. A team of 20 using it gets a shared knowledge base of every sales call and customer conversation. If you’re evaluating it for a sales org, the team-scale use case is the right frame.
tl;dv
tl;dv has a free tier that’s genuinely generous: unlimited recordings in free, with AI summaries gated behind paid. The differentiator is the clip/highlight sharing feature. You can mark a segment of a call, create a short clip, and share it in Slack. For sales teams that want to share specific customer moments internally, or for product teams that want to share user research clips with engineers, this is a distinct capability most other tools don’t have.
The pricing model changed in late 2024, and some users pushed back on the transition from a more permissive free tier to the current structure. I’d recommend checking current pricing directly rather than relying on older reviews. The product itself is strong; the value calculation depends on how much the team actually uses the clip feature.
Transkriptor
Transkriptor starts around $10/month and is focused almost entirely on transcription accuracy. It supports a very wide language set, the output formatting is clean, and it integrates with common storage platforms. It’s not trying to be a meeting intelligence tool. It’s a very good transcription service with a reasonable price.
If that’s all you need, it’s worth considering. If you’re looking for summaries, real-time assistance, or action item extraction, it’s not the right tool.
How to choose
| Use case | Best fit |
|---|---|
| Real-time assistance during interviews or sales calls | Craqly |
| Bulk meeting recording with searchable archive | Otter.ai or Fireflies |
| Sales call review with CRM integration | Fathom or Fireflies |
| Sharing meeting clips internally | tl;dv |
| Transcription only, many languages, low cost | Transkriptor |
The question worth asking before you switch: what specifically isn’t working about Notta? If it’s accuracy, you probably won’t see a dramatic difference elsewhere. If it’s the lack of real-time intelligence, most of these alternatives also won’t help much, with Craqly being the exception. If it’s price or storage limits, Otter and tl;dv have better free tiers.
The sales team I mentioned at the start eventually settled on Fathom for call recording and Craqly for high-stakes individual calls. That’s a redundant setup most people wouldn’t want. But their actual problem was two different things: archiving customer context for the team, and giving individual reps live support. One tool rarely solves both well.
According to reporting from The Verge on AI meeting tools, the category is seeing consolidation as buyers realize transcription alone doesn’t change meeting outcomes. That’s the right frame. The tool that helps you act on what was said matters more than the tool that records it perfectly.