Transcripted vs tl;dv
tl;dv is built as a cloud note-taker. Transcripted is built as a local meeting memory layer: the transcript is readable, the structure is machine-usable, and the corpus stays on your Mac.
Download Transcripted — FreeAt a glance
| Transcripted | tl;dv | |
|---|---|---|
| Primary job | Private meeting memory for your agent | Cloud meeting notes and summaries |
| Price | Free forever | Subscription software |
| Processing | Local on your Mac | Cloud-assisted |
| Transcript output | Markdown transcript with YAML frontmatter | Workspace notes |
| Capture folders | Capture folders | No local capture-folder layout |
| Persistent speaker identity | Yes | Not the focus |
| Agent access | Folder prompt, MCP, CLI | Workspace-centric workflows |
| Offline use | Yes | Depends on the service |
| Open source | MIT | No |
Why local ownership matters
tl;dv is useful when you want cloud summaries and collaboration features in one place. Transcripted is useful when you want your meeting memory to stay local and become part of a larger corpus your own tools can use.
That corpus is not a single export. It is a Markdown transcript for people, YAML frontmatter for machines, and a capture-folder layout that lets your agent work across the whole set of meetings without giving up ownership of the data.
How Transcripted connects
The first connection is the starter prompt. Supported clients can go further with MCP. If you want scripts, exports, or automation, the CLI is built in. The data stays local; the access modes scale with how deep you want to go.
Where tl;dv is better
tl;dv is the better fit if you want a cloud product with summaries and team workflows already built in.
If you want local ownership, persistent speaker identity, and a corpus your agent can query directly, Transcripted is the tighter system.
FAQ
Is Transcripted a good tl;dv alternative?
Yes, if local ownership matters to you. Transcripted keeps the meeting artifacts on your Mac and gives your agent a real local corpus.
Does Transcripted support summaries?
Transcripted gives you the source data. You can use an agent to summarize it, and MCP or the CLI can help depending on your workflow.
How do I connect Transcripted to an agent?
Start with the folder prompt, then use MCP if supported. The CLI is there for scripts and automation.