Which tool to analyze your sales calls? (Claap, Leexi, tl;dv, Modjo… and Claude)
The market has exploded, and it's easy to get lost. You're probably already using a tool to analyze your calls. But is it the right one for your real need, and above all, are you really making the most of what it produces? An honest overview.
In 2026, analyzing your sales calls has never been easier. A dozen tools record, transcribe and summarize your conversations in minutes. The problem is no longer being able to do it, but choosing the tool that fits your need, and knowing what to do with the data once it's there.
There is no best tool in absolute terms. There is a best tool for a given goal. Here is how to situate the main options, honestly, to help you choose.
The three families of call analysis tools
Before comparing, you need to understand that these tools don't play in the same category:
- Notetakers: they transcribe and summarize. Simple, fast, perfect for not forgetting anything from a meeting. Examples: tl;dv, Fathom, Fireflies.
- Conversation intelligence platforms: they go further: objection detection, coaching, performance analysis. Examples: Modjo, Leexi, Claap.
- Revenue intelligence platforms: heavy, built for large sales teams, with forecasting and pipeline management. Examples: Gong, Clari.
Whether you're an independent coach, a founder, or a manager of a team of ten reps, your need isn't the same. Let's look at the concrete options.
A tour of the tools, strengths and limits
tl;dv
The simplestAn effective notetaker: transcription, summaries, video clip sharing. Very good for asynchronous collaboration and keeping a clean record of every call.
Limit: it captures, it doesn't dig. Little deep sales analysis (objection patterns across calls, buying signals).
Fathom
Light and freeMeeting summaries and action items, quick integration with Zoom and Google Meet, minimal setup. Ideal for small teams who want the essentials without complexity.
Limit: deliberately limited features. Meeting documentation more than sales analysis.
Leexi
Simple and compliantTranscription and meeting tracking, with good integration to phone systems (VoIP) and a focus on security and compliance. Handy for teams who want a no-frills solution.
Limit: stays centered on transcription and tracking. Advanced use of the data is limited.
Modjo
Team coachingA French platform, GDPR compliant, with solid coaching flows: dashboards, objection tracking, performance analysis, CRM integration. Built for sales teams that want to improve.
Limit: team and manager oriented. Less suited to the solo coach or founder juggling several different client contexts.
Claap
Async videoMore of a video wiki than an analysis engine: call library, clip sharing, keyword indexing. Excellent for cutting down meetings and sharing demos.
Limit: deep sales analysis isn't its core. Strong on sharing, lighter on sales insights.
Gong / Clari
EnterpriseThe heavyweights of revenue intelligence: large-scale analysis, forecasting, pipeline management. Powerful for a structured sales force.
Limit: expensive, slow to deploy (often several weeks of setup), oversized if you don't have a large team.
ChatGPT / Claude
The DIY optionYou can absolutely paste a transcript into ChatGPT or Claude and ask for a summary, the objections, the pains. Fast, flexible, and often surprisingly relevant on a single call.
Limit: generic AI starts from scratch every time. It doesn't know your customer, doesn't keep context from one call to the next, and forces you to re-explain who the prospect is on every prompt. You redo the work over and over.
| Your need | The right option |
|---|---|
| Not forgetting anything from a meeting | tl;dv, Fathom |
| Coaching a sales team | Modjo |
| Managing a large pipeline | Gong, Clari |
| Sharing video clips | Claap |
| Analyzing a call quickly | ChatGPT, Claude |
The real blind spot of all these tools
You may have noticed the common thread. All these tools analyze well. Some better than others, but overall, the "analysis" building block has become a standard.
The problem was never analyzing a call. It's what happens afterwards.
Once the analysis is done, where does the data go? Into a transcript. A dashboard. A summary you read once. A Claude chat you close. It dies, isolated, where it was produced.
Yet this data is worth gold elsewhere. The objections that recur in your calls should feed your customer avatar. That avatar should refine your prospect search. Those prospects should fuel your messages. Your customers' real words should shape your content.
Instead, you rebuild every block by hand, for every client, from scratch. That's where the real time, and the real value, is lost.
The right question to ask
When choosing a tool, people ask: "which one analyzes my calls best?" That's the wrong question, or at least an incomplete one.
The right question is: "which one reuses that data across my whole chain?" Because analysis is only a starting point. What changes your day-to-day is data captured once resurfacing everywhere, without you re-entering it.
This is exactly where Meidly sits
Meidly analyzes your calls like the others: objections, buying signals, verbatims. But analysis is just one block among others. The real difference is that this data then feeds your customer avatar, your prospect search, your messages and your content. A suite of tools where a single piece of data flows across the whole chain, instead of dying in a transcript.
Discover Meidly's call analysis→So, which tool should you choose?
If your only need is to keep a record of your meetings, a notetaker like tl;dv or Fathom is enough. If you coach a team, Modjo is solid. If you manage a large pipeline, Gong does the job.
But if your problem isn't analyzing, but turning what your customers say into concrete decisions across your whole sales chain, understanding who buys, finding the right prospects, aligning your messaging, then an analysis tool alone won't be enough. You need a system where the data flows.
Frequently asked questions
What is the best tool to analyze sales calls?
There is no universal best tool. To not forget anything from a meeting, a notetaker like tl;dv or Fathom is enough. To coach a team, Modjo is solid. For a large pipeline, Gong. The real criterion isn't just analysis quality, but what you do with the data next.
Can you analyze sales calls with ChatGPT or Claude?
Yes, pasting a transcript into ChatGPT or Claude often gives good results on a single call. The limit is that generic AI starts from scratch every time: it doesn't know your customer, doesn't keep context from one call to the next, and forces you to re-explain everything on every prompt.
What's the difference between a notetaker and a conversation intelligence platform?
A notetaker (tl;dv, Fathom) transcribes and summarizes. A conversation intelligence platform (Modjo, Leexi, Claap) goes further: objection detection, coaching, performance analysis across all calls.
Is analyzing your calls enough to sell better?
No. Analysis is a starting point. The real value comes from reusing that data across your whole sales chain: customer avatar, prospect search, messages, content. That's where most tools stop, and precisely the role of a connected suite like Meidly.