When filtering by tag, you will only receive notes that contain this/these specific(s) tag(s). By default, if nothing is selected, you will receive all the notes. You can select as many tags as you want.

Suported file types are: **.mp3, .mp4, .wav, .m4a, .mkv, .mov, .avi, .wma, .flac.**
⚠️ Some apps (for example, Zoom) might require specific settings for the upload integration to function properly. Ensure that you have [enabled the necessary permissions](https://intercom.help/tldv/en/articles/8155030-zapier-integration#h_836ffef7ff) within the designated apps.

tl;dv is an AI meeting note taker that let's you record, transcribe, and summarize your Google Meet and Zoom meetings

tl;dv

Date filter; users created after this datetime will be returned. Defaults to 24 hours.

The target Inari Organization you want the feedback to reside in.

The Inari Space you want the feedback to be ingested in.

The data source type. If your required type is not in the drop down, please reach out to Inari Support to prioritize a new data source type.

The user that added the data source. Defaults to the authenticated user.

This is the identifier of the source of feedback; for example
* Slack: Slack Channel ID
* Google Docs: Google Doc page ID

The contents of the feedback you want parsed. This is meant to be a singular piece of feedback
(Note: Either this field or Feedback Contents URL must be used)

URL pointing to a PDF or document with the feedback contents. (Note: must use either this field or Feedback Contents)

Display Name of the Data Source, for example:
* Slack: Slack Channel Name
* Notion: Notion Document Name

The Slack User ID; this is used to dedupe customers. If this information is not provided, it will treat each feedback's customer as unique.

Automatically parse highlights; this can only be done in active organizations

Inari is the AI-first product management stack and manages customer feedback to generate insightful product insights with analytics.

Inari

This integration will automatically ingest new TL;DV meeting transcripts as feedback and analyze to prepare for insight generation.

Inari + tl;dv

Ingest new tl;dv transcripts into Inari as feedback

Supported triggers and actions

Note Added

Transcript Added

Get Users

Recording Added

Upload Recording

Ingest Feedback

About Inari

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About tl;dv

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