
Both record meetings and make them easy to go back to. The biggest difference is who uses the record afterwards.
tl;dv's output is video and clips, which suits people going back over a call. Tiro's output is context: Claude or Cursor reads the meeting and drafts the email, creates the tasks, and updates the CRM from it.
tl;dv translates the transcript and summary after the call. Tiro moves speech into 15+ other languages as it is spoken, so people who do not share a language can stay in the same meeting.
tl;dv records without a bot on the desktop, centered on video calls. Tiro captures system audio, so in-person conversations, phone calls, and offline recordings come through at the same quality.
tl;dv is good at keeping a meeting as something people can go back to: recordings, transcripts, and clips of the moments that mattered, hosted in Europe with SOC 2 Type II. Tiro treats the meeting as context rather than a video, so agents and internal systems can act on it.


| tl;dv | Tiro | |
|---|---|---|
| What it does best | Keeps meetings as video and clips for people to rewatch | Accumulates meeting context for agents and internal systems |
| What you end up with | Video, clips, and transcripts | Meeting context an agent can read |
| Interpretation during the meeting | Transcript and summary translated after the call | 15+ languages while the meeting is running |
| Transcription languages | 30+ languages, auto-detected, including mid-call switching | 15+ languages, including Korean, Japanese, and Chinese |
| Capture | Bot for Zoom, Meet, and Teams, plus bot-free desktop recording | System audio capture, in person, phone, and offline |
| Security certifications | SOC 2 Type II, GDPR; ISO 27001 stated for hosting partners | SOC 2 Type 2 and ISO/IEC 27001:2022 certified |
| Where data sits | European data centers, with a choice of EU or US AI processing | Cloud, centered on Korea and Asia (requirements handled case by case) |
| Agent and system integration | API, webhooks, and MCP on the paid plans | MCP, API, Webhook, and CLI on every paid plan |
| Getting started | Free plan (unlimited recording and transcription, AI notes for 10 meetings). Pro $18 per seat a month billed annually, $29 monthly | Free trial, then from $7 a month |
The point of the record is that people rewatch it and share clips of it, and sales coaching is part of the job. EU data residency is a requirement you have to meet.
You want agents and internal systems to act on the meeting rather than people rewatching it, you need interpretation while the meeting is running, or you record in person and on the phone as well as on video.
Kept so people can go back to it, or kept so the next task can start. That is the split.
Pick your team size and get the estimated hours and cost saved, plus a rollout quote, right away.
It depends what the record is for. If people rewatch meetings and share clips, tl;dv's video-first shape fits. If AI agents and internal systems are meant to pick the meeting up and carry on with it, structured context is more useful than a recording.
tl;dv's bot-free mode is a desktop recorder centered on video calls. Tiro captures system audio on your laptop or phone, which also covers in-person conversations, phone calls, and offline recordings. The range of situations you can record is what differs.
tl;dv translates the transcript and summary after the call. Tiro moves speech into 15+ other languages as it is spoken, which matters when people need to follow each other during the meeting itself.
A common way for AI agents to read outside data. Connect Tiro's MCP server and Claude or Cursor reads the summary and decisions from the meeting that just ended, then drafts the follow-up email, creates the tasks, and updates the CRM.
Yes. Rewatching video and handing context to agents are different jobs, and some teams keep both. Tiro is worth looking at when you want the notes connected to internal systems and AI agents so the work after the meeting is automated.
Tiro is certified to SOC 2 Type 2 and ISO/IEC 27001:2022. Data is encrypted in transit and at rest, customer data is never used to train AI models, and encryption keys are isolated per customer. Data location, SSO, and audit log requirements are handled case by case.