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We have spent a lot of time writing honest reviews of other meeting tools, pulling them apart gently, sometimes not so gently, and stress testing what they promise against what actually shows up in real work. So it would feel a bit ridiculous to stop there and not apply the same scrutiny to tl;dv itself.
An honest review of tl;dv was always going to happen, especially given how often I use it and how loudly I talk about what good meeting capture should look like.
Last updated August 2026. Since this review was first published, we have shipped the tl;dv MCP server and added a desktop recording option.
There is bias here, obviously.
I work closely with tl;dv, I use the product daily, and I know the team behind it. I am not pretending this is a detached lab experiment run by someone with no skin in the game.
At the same time, that closeness is exactly why this review is worth writing. I am not looking at tl;dv through a demo account or a feature checklist. I am looking at it through the mess of real meetings, client calls, interviews, my own internal chaos, and the very human habit of forgetting things almost immediately after a call ends.
So yes, read this with the right amount of skepticism. I am close to the product. I am also very familiar with its limits and the odd habits people build around it. This is not a pitch. It is a look at how tl;dv behaves when it becomes part of the furniture, which is usually where the truth shows up.
Honest tl;dv Review: tl;dr
tl;dv handles the parts of meetings most people are bad at, remembering exactly what was said, spotting patterns across calls, and capturing decisions while you stay present. Once it is set up, you stop thinking about it, which is the whole appeal.
It works best for people who need to do something with meetings afterward: writing, decisions, follow-ups, handovers, or learning from customers.
In short:
- Automatically joins Zoom, Google Meet, and Microsoft Teams and records without babysitting
- Turns meetings into a searchable library with clips, summaries, and Ask tl;dv, which you can question across one meeting or hundreds
- Improves as you shape it with playbooks and custom vocabulary
- Records through a visible bot, with a desktop app option for recording without one
- Recordings are private by default, no customer data is used to train the AI, and you choose how much to record during setup
- Transcription accuracy benchmarked against competitors across eight languages, first in seven, with the methodology published
- Listed in the Claude and ChatGPT connector directories through the tl;dv MCP server, available from the Pro plan
- Free plan is real rather than a trial, with hard caps on AI use and three-month data retention
If meetings blur together and drain energy, tl;dv earns its place quickly.
If you want to jump straight to the costs, check our tl;dv pricing calculator.
What Is tl;dv (and What Does It Actually Do?)
tl;dv is a meeting recorder that keeps working after the meeting ends. Calling it an AI note-taker undersells what it does.
The tool is built around the reality that meetings are messy and happen across different platforms. Most of them also contain more information than any one person can reasonably hold onto.
At the most basic level, it joins calls automatically, records the full conversation, and produces a speaker-labeled transcript tied directly to the video. That alone changes how meetings feel. You are no longer juggling listening, note-taking, and participation at the same time.
Where tl;dv pulls ahead of lightweight AI note-takers is in what happens after the meeting ends. Instead of leaving you with a long transcript or a vague summary, it gives you structure. You can jump to specific moments, clip sections to share, or search across meetings for recurring topics and decisions. Over time, this turns meetings into a working library rather than a collection of forgotten recordings.
On top of all this sits Ask tl;dv, which is where the AI becomes more than something decorative to put on the homepage.
Instead of rewatching calls or skimming transcripts, you can ask direct questions about what happened in a meeting. This works best when questions are specific, pulling out details, comparisons, or patterns, and it mirrors how people actually review conversations when they are under time pressure.
You can also ask across multiple meetings, which is where it gets useful. Free and Pro both cap that at five queries. Querying your whole library properly is a Business plan feature, and it is the main reason teams move up a tier.
The same data is reachable from outside the app. The tl;dv MCP server is listed in both the Claude and ChatGPT connector directories, so you can ask about past calls from wherever you already work. That is available from the Pro plan.
Playbooks and AI coaching build on that same structure. Teams can define what good looks like for a particular type of call, sales discovery, onboarding, training, or support, and tl;dv can review meetings against those expectations. That is a Business plan feature.
For sales teams, that might mean tracking whether key questions were asked or objections were handled.
For managers, it can surface patterns in delivery or coaching opportunities without needing to sit through every call manually.
tl;dv is an organizational tool as well as a meeting recorder. Some examples of how it can be used include:
- Customer success teams use it to prepare QBRs and review onboarding quality.
- HR teams use it to compare candidates across interviews without relying on memory.
- Product and research teams use it to analyze feedback across dozens of conversations instead of cherry-picking quotes from a handful of calls.
These are all real actions that tl;dv’s internal team uses the tool for.
tl;dv does not assume everyone works inside a single ecosystem.
Meetings happen across Zoom, Google Meet, and Microsoft Teams, often tied to different calendars and tools. tl;dv captures those conversations consistently and feeds the output into the systems teams already rely on, whether that is a CRM, Notion, or internal reporting workflows. The meeting stops being an isolated event and becomes shared, searchable data.
Taken together, these features are less about AI for its own sake and more about reducing cognitive load across an organization. tl;dv handles capture and retrieval so you do not have to rely on memory or perfect note-taking.
Key tl;dv Features at a Glance
- Automatic meeting capture, without babysitting
tl;dv joins your scheduled Zoom, Google Meet, and Microsoft Teams calls automatically as a visible participant. No links to paste, no buttons to press, and no risk of forgetting to record. Once it is connected to your calendar, it shows up and does the job. - A desktop app for recordings a bot cannot join
Some conversations do not happen on a platform a bot can join. The desktop app records those directly, with or without a bot. Audio-only recordings give you a transcript and summary but no video, and speakers appear as numbers unless the recording matches a calendar event. Recording law applies to you either way, so disclose that you are recording regardless of which method you use. - Full video, audio, and speaker-labeled transcripts
Bot recordings capture video, audio, and a transcript that clearly shows who said what. This makes reviews faster and far more reliable, especially in multi-speaker calls where attribution actually matters. - Ask tl;dv AI, find what you need without rewatching
Ask tl;dv lets you query a meeting directly instead of rewatching it. Pull out specific details, compare conversations, or look for recurring themes across time. Asking across your whole library is capped at five queries on Free and Pro, and runs unlimited on Business. - Playbooks and AI coaching for consistent delivery
Teams can define playbooks for different call types, sales, onboarding, training, and have tl;dv review meetings against those structures. This supports coaching and quality control without managers needing to sit through every call manually. Available on Business. - Clips, highlights, and time-stamped sharing
Instead of sending full recordings, you can share short clips linked to exact moments in a conversation. This makes reviews, approvals, and handovers faster and far more likely to actually happen. - Centralized meeting library across platforms
Meetings from Zoom, Google Meet, and Microsoft Teams all live in one searchable library. You are not locked into a single calendar or ecosystem, and your meeting history does not fragment across tools. - Transcription across 30+ languages
Language is detected automatically, including when speakers switch mid-call. We have benchmarked transcription accuracy against competitors one language at a time, using the same framework each time, and published every result. Multi-language meetings and premium transcription quality sit on Business. - CRM, Notion, and workflow integrations
tl;dv connects with CRMs and tools like Notion so meeting outputs flow directly into existing workflows. Notes, summaries, and insights become part of how teams actually work rather than sitting in isolation. - MCP server, API, and webhooks
The tl;dv MCP server is listed in both the Claude and ChatGPT connector directories, so you can query your meeting history from either. Available from the Pro plan, and scaling to team and organization level above that. - Private unless you or your admin says otherwise
New recordings are visible only to the owner by default, and sharing happens meeting by meeting. On team and organization plans, admins can set different visibility defaults, so it is worth checking how your workspace is configured. - Compliance built in, not bolted on
tl;dv is SOC 2 Type II compliant, GDPR compliant and EU AI Act compliant, with all data centers in Europe and data encrypted using AES-256. No customer data is used to train the AI. Privately hosted AI is available on request at Enterprise level. This is a European product, and that shows in how consent, access control and data residency are handled.
Setup and Workflow: What Happens When You Stop Thinking About It
After you connect your calendar, tl;dv joins your scheduled Zoom, Google Meet, and Microsoft Teams calls automatically as a visible participant. Nothing to open and no link to paste. On Google Meet, someone already in the call admits it, which is Google’s flow rather than ours, and a fair place for that decision to sit. tl;dv can also email attendees ahead of time to flag that the meeting will be recorded, which handles disclosure before anyone joins.
You decide how much of this happens. Account setup asks whether tl;dv should record all your meetings, internal only, external only, or none, before you get started. Recording all meetings is pre-selected, and you can change it there or in settings at any time.
When the meeting ends, the output is already there. The recording, transcript, and structured summary are available without any extra steps. You can skim the highlights, jump straight to key moments, or share a short clip with someone else. No export, no upload, no copying between tools.
tl;dv does not demand perfect behavior. Once your recording rules are set, it applies them without you having to remember. If you come back weeks later needing to know what was actually agreed, the information is still there and searchable.
Individual recordings cap at three hours on every plan, which covers almost everything short of a full-day workshop. If you regularly run longer sessions, the limit can be raised on request, so it is worth asking rather than assuming three hours is fixed.
How Teams Actually Use tl;dv Day to Day
Once tl;dv becomes part of your daily life, it gets used in slightly messy, very human ways that nobody designed for.
Across teams, the pattern is the same. People stop thinking in terms of individual meetings and start thinking in terms of continuity. Conversations stop being isolated events and become something you can return to and build on later.
tl;dv for Marketing
In content, marketing, and internal strategy work, that often looks like reviewing calls to spot what actually landed. Repeated questions. Phrases people echo back. Moments where attention shifts or energy changes. Over time, those signals are far more useful than gut feel. They show you what resonates and what falls flat.
That is probably why I use tl;dv the way I do. I am a writer by trade, and my work lives in nuance, phrasing, tone, and the offhand comments that reveal what people actually mean.
When I am pulling together meeting roundups or writing a newsletter, I go back through conversations to see what people responded to, what they repeated, and where they hesitated. That kind of detail is almost impossible to reconstruct from memory alone.
tl;dv for Customer Support
In customer support tl;dv is used as a source of record for customer conversations.
Support calls, escalations, and internal discussions about complex tickets are recorded and transcribed so decisions are not made on memory alone. Instead of trying to recall what a customer said, or how an issue was framed, teams can go back and pull the exact wording and the moment it mattered.
Short clips are shared internally to get second opinions on tricky cases or QA reviews, without booking another meeting or reopening a ticket. It makes support decisions clearer and easier to defend when customers push back.
tl;dv for Sales
tl;dv is a lifesaver for anybody who has ever been involved in any kind of sales call. And I can say that with some authority, because before I did any of this, I worked in SaaS sales. Back-to-back calls, pipeline pressure, constant note-taking, and the low-level panic of knowing you have definitely promised something important and cannot quite remember the wording. That sales mindset never really leaves you. Even now, I listen for objections, hesitations, and the offhand comments that matter more than the polished answer.
If I had had tl;dv back then, my admin load would have been dramatically lighter. I would be able to recall what the prospect said without trying to decode what I wrote in the CRM three weeks ago, or from my scratched out notes. Equally, coaching would not have meant listening to hours of recordings just to hear myself say “umm” followed by an ill-judged joke. Feedback could have been specific and grounded in real moments rather than vague recollections. My boss would also have been able to tap a few keys and identify how best to support me to get more deals over the line.
That is now a feature rather than a wish. Playbooks and AI coaching review calls against whatever your team has decided good looks like, so a manager can find the coachable moment without sitting through the whole recording. That sits on the Business plan.
Any sales department can have actual customer conversations to plan against. If Dave was smashing the quarter, it is easy to identify what he is doing and how to get the rest of the team up to scratch.
If a customer had a complaint about a particular rep, it is no longer a case of “he said, she said” and managers can scope out the call and decide what action to take. Sales will always be stressful, but with tl;dv supporting the process it is much easier to pick through what is working, and more importantly what is not.
tl;dv as a Business Owner
That same logic applies now as a business owner and a writer working with other companies. I use tl;dv in meetings with my other writing clients. When it is embedded properly, everyone can concentrate on the conversation rather than capturing it. Every commitment and passing promise is captured in the calls I record. When I am speaking with academics for whitepapers or working through complex topics, the cognitive load is high. Knowing the meeting is captured lets me listen properly and ask better questions, then come back later and harvest what matters.
tl;dv for Funsies
There are also the less serious habits. I make a point of saying “Renée, Renée, Renée” in meetings, partly because it makes me laugh, and partly because Renée on the social team runs a weekly report she calls “I am the center of the universe”. It searches the meetings she already has access to for every mention of her name, half jokingly to see what comes up, and half seriously to work out how her work is landing. No one designed that workflow. It emerged because the system notices things humans cannot, plus we are pretty nosey.
Plus, more than a few people use it for their regular Dungeons & Dragons games.
This is why tl;dv works. It separates being present in the meeting from working with the meeting afterward. Teams benefit from that. Writers benefit from that. And anyone who has ever carried a sales quota knows exactly how valuable that separation is.
The Small, Weird Things That Save Your Brain
Some of the most useful things I do with tl;dv are not things I would ever have thought to ask for. They are not efficient. They are not tidy. They are very human.
At one point, in a meeting with our founder, we both asked tl;dv who should be CEO. It answered. I won.
This is not a recommended workflow. It does illustrate how people interact with tools once they trust them enough to be playful.
I also use Ask tl;dv regularly for questions I would never necessarily ask anybody who attended the meeting. A personal favorite is “Have I screwed up here?”
I ask it internally. I ask it externally. I ask it after sending emails, after awkward calls, and after moments where my brain decides to replay one sentence on a loop. Cheaper than a therapist and, better than that, based on what was actually said rather than what my anxiety thinks might have happened.
Because I am not spending energy trying to capture everything, I get to be properly in the conversation. That does mean things sometimes go off on tangents. There are side quests. Conversations wander. But that is also where the interesting stuff happens.
Creativity rarely shows up in the neat, pre-agreed agenda item. It shows up in the detours. Knowing the meeting is captured means I can follow those threads without worrying that I am losing something important along the way.
I also use tl;dv as a confidence check. Before following up, I will check what I actually said rather than what I think I said. That matters a lot more than people like to admit. Memory is unreliable, especially at the end of a long day. tl;dv gives you receipts, which is oddly calming.
And yes, I have searched for my own name. I could pretend I have not, but that would be a lie. Search only reaches meetings I already have access to, so this is less exciting than it sounds, and admin controls decide who can see what in the first place. Thankfully, so far it has all been praise. The point is not the ego boost. It is the ability to ground your perception in reality rather than guesswork.
Those small, slightly unhinged uses are where the real relief shows up. Not because they are clever. They let you stop carrying things you were never meant to hold in your head in the first place.
Criticism of tl;dv
Nobody is perfect, and there is criticism of tl;dv on third-party review sites that is worth taking seriously once you move beyond light use.
Transcription accuracy is the most common point raised, particularly around fast speakers and technical language. Rather than argue about it, we test it. I have run these tests one language at a time, with two LLM scoring passes against a reference transcript and a blind native-speaker check on top. The same framework is applied every time, so the results are comparable across languages rather than eight separate one-off tests. Across eight languages, tl;dv has finished first in seven and joint first in German. Finnish is the one language we have not yet had reviewed by a native speaker, and that is on the list. Every result is published in full, including the methodology, so you can check the working rather than take our word for it.
- German transcription accuracy, joint first
- Japanese transcription accuracy, first
- Swedish transcription accuracy, first
- Finnish transcription accuracy, first
- French transcription accuracy, first
- Italian transcription accuracy, first
- Russian transcription accuracy, first
- Portuguese transcription accuracy, first
The point of running these is not the scoreboard. Each round shows where transcription drops off and which accents and terms cause problems. Since this review was first published, the series has grown from one language to eight, and it continues.
Accuracy in a controlled test is not the same as accuracy on your calls. Custom vocabulary matters if your team uses product names or technical terms the model has never seen, and that is a Business feature.
Speaker misidentification comes up in larger calls, which matters more here than it would elsewhere because speaker-labeled transcripts are a headline feature. Audio-only desktop recordings are a bigger gap: you get speaker separation but not names, unless the recording matches a calendar event and you accept the sync prompt. Voice identification can help with this. It is opt-in for the individual user to have their voice printed, and available on Business.
Transcript export is limited. You can access the text on paid plans, but there are no structured export formats such as DOCX, SRT, or VTT. If your workflow depends on subtitle files or handing transcripts to another system in a specific format, check this before you commit.
AI summaries still benefit from a quick human pass, especially for action items or anything sensitive. Teams that define what good looks like get more reliable results, and a first pass is what this is rather than a final document.
The free plan has a limit that catches people out. Data retention runs up to three months, so it is not somewhere to build an archive you expect to still be there next year.
Pricing comes up around the higher tiers. For teams that only want basic recording, Business is more than they need. The jump makes sense when meetings are being reused for sales, customer work, or coaching rather than treated as one-off events.
None of these are dramatic, but they are consistent. tl;dv works best when it is shaped around real workflows rather than treated as a plug-and-forget summary tool.
AI Summaries, Asking Better Questions, and Knowing the Limits
This is the point where a lot of meeting tools get overconfident, and where tl;dv is at its best, because it does not pretend the AI should do the thinking for you.
If you expect a perfect, final document every time, you will be disappointed. If you expect a solid first pass that reflects what was actually said, you will usually be pleasantly surprised.
You can ask tl;dv broad prompts like “what was important in this meeting”, and it will give you a useful overview. Ask tl;dv works best when you are specific. Questions like, what objections came up, what did this person say about timing, where pricing was discussed, or how this compares to the last three calls.
That last one crosses multiple meetings, which is worth knowing before you build a habit around it. Free and Pro allow five multi-meeting queries. Asking across your library properly is a Business feature.
Specific questions are much closer to how people actually review meetings when they are short on time and need answers they can act on.
This is also where your own discipline matters. The quality of the output is shaped by the quality of the input, which means the audio and the structure you give the system.
Teams that define playbooks, set expectations for different call types, and are clear about what they want to extract tend to get far more reliable summaries and insights over time. The AI has something to aim at, rather than guessing what “good” looks like.
Used well, the AI reduces the grunt work and surfaces patterns you would not have spotted. It does not replace your judgment. It gives you back the time and headspace to apply it properly, which is a more realistic promise than pretending AI can handle everything on its own.
You can also ask from outside tl;dv. The tl;dv MCP server is listed in both the Claude and ChatGPT connector directories, so the question can pull in things tl;dv does not hold. Ask what a customer said about pricing last quarter alongside their current CRM record, and you get an answer neither system could give you alone. That is available from the Pro plan.
Collaboration, Follow-Ups, and Using Meetings After They End
Most meetings do not fail in the meeting itself. They fail afterward. Someone forgets what was agreed, context gets lost in a handover, or a follow-up email drifts away from what was actually said. This is the gap tl;dv is best at closing.
Instead of relying on memory or long written summaries, you can share the exact part of the conversation that matters. A short clip with context is often far more useful than a page of notes.
This changes how collaboration feels. If someone was not in the meeting, they do not need a full download or a second call. They can watch the relevant moment, hear the tone, and understand the decision as it was actually made. That is particularly useful when working across teams and time zones, or with external partners who do not need the entire recording.
Follow-ups also get cleaner. Before sending an email, you can check what was actually agreed rather than what you think was agreed. That reduces back and forth and makes next steps easier to anchor to reality.
When meetings feed into CRMs or shared workspaces, those follow ups stay connected to the original conversation instead of floating around in inboxes.
For teams that review work together, this makes feedback more specific. Instead of saying “we talked about this in the meeting”, you can point to the moment it came up. For managers and coaches, it means feedback can be grounded in real examples rather than general impressions.
Meetings stop being something you reconstruct later and become a shared reference point, with decisions and context visible long after the call ends.
Integrations with your current stack
Integrations only matter once you trust the capture, which is why they come this far down. tl;dv connects into existing stacks through native integrations, Zapier, APIs and webhooks, so meeting data flows into the systems teams already use rather than becoming another silo.
CRM connections work differently by plan. Pro gives you personal CRM integrations. Business adds field mapping and extends connections across the team. Enterprise takes it organization-wide. If CRM automation is the reason you are looking at tl;dv, that distinction is worth checking before you pick a tier.
The tl;dv MCP server sits in the same category and is available from Pro. It is listed in both the Claude and ChatGPT connector directories, so you can query your meeting history from either. Instead of pushing data out on a rule, you pull it into whatever you are already working in.
For larger organizations, that extends into single sign-on, provisioning, and admin controls that let tl;dv behave like infrastructure rather than a bolt-on tool. You do not need to think about those details on day one, and they matter once tl;dv becomes something people rely on rather than experiment with.
Language Support, Accuracy, and Trust
tl;dv transcribes and summarizes in 30+ languages, making it workable for international teams and for calls where people switch between languages naturally. The interface itself is localized in 7 languages, which is a separate thing: your calls can be in a language the interface does not display in.
Language is detected automatically. You can start a conversation in English, switch to French midway through, and end in Spanish, without changing any settings. tl;dv captures the transcript in the language each part was spoken in, and the AI can translate afterward if you need it. Multi-language meetings and premium transcription quality sit on the Business plan.
The headline number matters less than whether it works on your calls. tl;dv is built and used in multilingual environments, where accents, code-switching, and mixed fluency are normal rather than edge cases, and that shapes how quickly language problems surface and get fixed.
Rather than claim accuracy, we test it, one language at a time and against competitors. Eight languages are published so far, with the full methodology and the scores, including where a competitor matched us. Those sit further up under criticism, which is the honest place for them.
Privacy, Consent, and Not Having to Remember
Privacy is one of those things people only notice when it goes wrong, which is why tl;dv handles it visibly and consistently.
The default is a visible bot. When tl;dv joins a meeting it appears as a participant, so recording is clear to everyone in the room. tl;dv can also notify attendees when the invite is sent, so recording is expected rather than announced awkwardly at the top of the call.
You are asked about this before you start. Account setup includes a step asking whether tl;dv should record all your meetings, internal only, external only, or none, so recording behavior is a decision you make up front rather than a setting you find out about later. It can be changed at any time.
There is a second path. The desktop app records without adding a participant, for conversations a bot cannot join. Recording law still applies to you, and in two-party consent states it applies to everyone in the conversation. Our position is that you disclose either way, which is why we published a guide to using bot-free recording responsibly.
We do not train on your meetings
No customer data is used to train the AI. Generative AI runs through a partnership with Anthropic, with metadata anonymized before processing, and meetings chunked into small pieces with randomized sequence order, so no segment can be tied back to a meeting or to another segment.
Voice identification is opt-in for the individual user to have their voice printed. A print is only ever created for the person who opts in, so nobody is enrolled by being in the room.
Security and compliance
tl;dv is SOC 2 Type II compliant, GDPR compliant and EU AI Act compliant, with all data centers located in Europe and data encrypted using AES-256. The underlying facilities at Google, AWS and Hetzner carry ISO 27001 and PCI DSS Level 1 certification. You can request the SOC 2 report or the Vanta trust report from the security page.
You also choose where AI processing happens, Europe or the US, which matters if your regulator cares about that distinction rather than just where the recording is stored. Privately hosted AI is available on request at Enterprise level.
Controlled access after the call
Recordings are private by default. A new account keeps everything to the owner until they change that setting or share a specific meeting, one at a time. Nothing is visible to your team unless someone decides it should be, which matters for teams working across companies or in regulated environments. Search reaches the meetings you have access to and no further.
Once tl;dv is set up, consent and access control are part of how it behaves rather than things you have to remember.
Pricing: What You Are Really Paying For
tl;dv pricing is seat-based, and the euro and dollar prices are the same number rather than a conversion. This is a brief explainer, and our pricing page has the full breakdown.
Free Forever Plan
You can add your whole team at no cost, with unlimited video recordings and unlimited transcription across 30+ languages. The caps are on AI and storage. Ten meetings with AI notes, ten Ask AI queries, five uploads, and data retention of up to three months. That last one is the one that catches people out, so the free plan works as a tester rather than somewhere to build an archive you expect to still be there next year.
Pro Plan
Pro is 18 per seat per month billed annually, or 29 billed monthly. It removes the AI limits and adds custom note templates, action item assignment, follow-up email drafting, global transcript search, unlimited uploads and storage, 5000+ integrations through Zapier, and the MCP server, API and webhooks. Support is email and chat.
Business Plan
Business is 29 per seat per month billed annually, or 39 billed monthly. For teams that spend most of their time in customer, sales, or account conversations, this is usually the better fit. It adds premium transcription with multi-language support and custom vocabulary, unlimited multi-meeting Ask AI, playbooks and AI coaching, scheduled reports, CRM field mapping across the team, voice identification, and priority support.
The multi-meeting allowance is the real dividing line. Free and Pro both give you five queries across multiple meetings. Asking questions of your whole library, which is what most people want once they have a few months of calls stored, is a Business feature.
Enterprise
Custom pricing, with SCIM provisioning, custom SSO, privately hosted AI, organization activity logs, custom invoicing, and a dedicated success manager. Usage-based pricing is available at this level instead of per seat.
Beyond the headline features, the plans include a long tail of practical capabilities, unlimited meetings and viewers, mobile apps, clips and embeds, recurring reports, Slack and calendar integrations, and administrative controls that scale as teams grow. You do not need all of that on day one, and it is there when it starts being part of how your work actually runs.
You can use the pricing calculator below to work out exactly how much it will cost you.
tl;dv Pricing Calculator
Euro pricing matches the dollar figures. Prices shown are per seat.
Don’t Take Our Word For It: Real Customer Praise
The quickest way to understand how tl;dv lands is to listen to the people using it when no one is asking them to sell it.
As of August 2026, tl;dv holds 4.7 out of 5 on G2 from 530 reviews. The spread is more useful than the average: 84% five-star, 13% four-star, and nothing at three or below.
That shape says something an average hides. There is no cluster of angry users. The criticism that exists is the four-star kind: people who like the tool and want one specific thing fixed, which matches what the complaints are actually about.
Across independent review sites, the same practical benefits come up repeatedly. People talk about time saved, less admin, and meetings that remain useful after they end.
“I rely on it in almost every meeting because the recordings, transcripts, and AI-generated summaries are incredibly accurate and save me a lot of time.”
“What I like most is that tl;dv is a GDPR compliant solution that can be used in Europe without concerns, which is not the case with many US providers.”
“Not every notetaker has been able to achieve this consistently for both my meetings and those owned by others.”
“I also appreciate that it allows for maintaining the traceability of decisions made in sessions with internal teams, such as SysAdmin, DBAs, Azure, GCP, and AWS, thus avoiding the loss of time in manual transcriptions.”
Outside formal review platforms, similar patterns show up in more casual discussions. In a Reddit thread comparing AI meeting tools, one user highlighted tl;dv’s ability to connect conversations over time:
“Allows you to get combined meeting notes and video highlights from several conducted meetings at once.”
The praise centers on reliability and on meetings that stay usable long after the call ends. That kind of feedback tends to come from tools that settle into daily work rather than demanding constant attention.
Where tl;dv Fits Best and Where It Does Not
tl;dv best fits teams who rely on conversations to make decisions, hand work over, and learn from customers. Sales, customer success, research, product, leadership, and any role where context accumulates rather than resets will get the most value. It suits teams that want meetings to turn into shared memory and searchable insight they can work with later.
It also fits people who want to be present in the conversation without worrying about capture. If you regularly find yourself half-listening while typing notes, or replaying calls to remember what was agreed, tl;dv earns its keep quickly. The same goes for teams working across time zones, languages, or organizations, where sharing exact context matters more than summaries written from memory.
Where it fits less well is when meetings are purely disposable. If you only need a quick voice note or a single transcript you will never revisit, tl;dv can feel like more than you need. Solo users who want lightweight dictation or occasional note capture may be better served by simpler tools.
It is also not a plug-and-forget solution if you want depth. tl;dv improves as you shape it, through playbooks, coaching rules, custom vocabulary, and clearer expectations. Teams that want something static and never plan to refine how they use it may not see the same returns.
Fit also depends on which plan you land on. If you want to question your whole meeting library, use custom vocabulary, or run multi-language calls, those are Business features. Trialing on Free and judging tl;dv on what it does there will give you a fair view of capture and a misleading one of everything after it.
The dividing line is not company size or role. It is whether meetings are something you want to remember, reuse, and learn from. If they are, tl;dv fits naturally.
tl;dv Is Built for Real Meetings, Not Just Notes
tl;dv works because it assumes people are busy, distracted, occasionally anxious, and very bad at remembering exactly what was said three calls ago. It does not ask you to become a better note taker or a more disciplined meeting participant. It does the remembering for you, then hands the context back when you are ready to deal with it.
That shows up everywhere. In sales teams that want coaching without reliving every awkward pause. In customer teams that need continuity rather than memory. In writers and researchers who care about phrasing and nuance. Founders who would rather run the business than reconstruct conversations after the fact. And yes, even in Dungeons and Dragons sessions where nobody wants to argue about what happened three turns ago.
At this point, reading will only get you so far. tl;dv makes sense once you try it in a few real meetings, whether it sits alongside another tool or is the first one you use, and realize you no longer have to keep everything in your head.
The free plan needs no card and no trial clock. Connect your calendar, let it sit in your next few calls, and see what the transcripts and summaries look like on your own conversations rather than a demo. You get ten meetings with AI notes to judge it on, which is enough for a fortnight of real use.
Try it, poke at it, ask it unhinged questions, bend it to fit how you work. The worst case is you get a few decent summaries for free. The more likely outcome is that you stop doing half the invisible admin you did not realize was draining your time.
Get started with tl;dv, free. That alone is usually worth it.
FAQs About tl;dv
What does tl;dv do?
tl;dv, short for “too long, didn’t view”, is an AI notetaker that records, transcribes, and summarizes your team’s meetings, then lets you question them afterward. Meeting data flows into the tools you already use through native integrations, Zapier, and 5,000+ connections, with an API, webhooks, and an MCP server for anything custom.
What is an AI Notetaker?
An AI note taker is software that listens to a meeting, transcribes what was said, and turns it into notes or a summary. Most handle speech recognition, speaker labeling and summarization, then push the output into your calendar, email or project tools. What separates them is what happens after the notes exist.
Which languages are supported?
tl;dv transcribes in over 30 languages and detects them automatically, including when speakers switch mid-call. The interface is localized in 7 languages, which is separate: your calls can be in a language the interface does not display. Multi-language meetings and premium transcription quality sit on the Business plan.
Can I try tl;dv for free?
Yes. The free plan has no time limit and no card required. You get unlimited recording and transcription, ten meetings with AI notes, and ten Ask tl;dv queries. Data is kept for up to three months. Enough to judge capture quality on your own calls, though playbooks, coaching, custom vocabulary, and multi-meeting queries sit on Business.
Which meeting platforms does it work with?
tl;dv joins Google Meet, Zoom, and Microsoft Teams calls automatically as a visible participant, with calendar sync and the full feature set. The desktop app covers conversations outside those three platforms, with or without a bot. Recording law applies to you either way, so disclose that you are recording.
Can I upload audio or a video file?
You can. Upload video or audio files directly to bring in previously recorded meetings, or to test tl;dv without waiting for your next call. Free allows five uploads. Pro and above are unlimited, with unlimited storage. Learn how to upload audio or video in the help center.
Does tl;dv join meetings automatically?
Can I use tl;dv for client calls and external meetings?
Yes. Recordings are private to you by default, and the default capture method is a visible bot, so recording is clear to everyone in the room. Recording law applies wherever you are, and in two-party consent states it applies to everyone in the conversation, so tell people you are recording whichever method you use.
Does tl;dv have a mobile app?
Yes. tl;dv Mobile is available on iOS and Android and works with your existing account, on every plan including Free. It records in-person conversations, works offline and syncs when you reconnect, then processes summaries and action items into your desktop workspace. Mobile is capture-first, with the fuller AI features on desktop. Recording law applies to in-person conversations too, so tell people you are recording.
Is tl;dv GDPR compliant and secure?
Yes. tl;dv is SOC 2 Type II, GDPR and EU AI Act compliant, with all data centers in Europe and data encrypted using AES-256. No customer data is used to train the AI. Recordings are private by default. You can request the SOC 2 report or the Vanta trust report from the security page.
