Meeting sources
Turn Read.ai meetings into a reviewed, published backlog
Read.ai records, transcribes and summarises your meetings. Connect it and any of those meetings becomes a spec sheet: requirements, bugs, decisions and action items, each one pointing back to what was actually said, each with a draft story waiting for your review. Read.ai meetings sit next to Fathom and Granola imports in the same project, so using two note-takers does not leave you with two backlogs.
How it connects
OAuth. You authorise Spectr from Read.ai's consent screen; Spectr refreshes the connection itself and never asks for a password.
Before you start
No plan requirement. Connections are configured per project, and every credential is encrypted at rest.
What Spectr reads from Read.ai
- Meeting summary
- Read.ai's own summary is imported as the leading section, so the most condensed account of the call is what the model reads first.
- Speaker-labelled transcript
- The full transcript with speaker turns preserved, so a requirement can be traced back to who raised it.
A person approves everything before it is published
Spectr generates specs and stories, then stops. Every story goes to a review page where you approve it, edit it inline, or reject it - individually or in bulk. Only approved stories reach an issue tracker. There is no auto-publish setting to switch on, because a backlog nobody read is not a saving.
Setting it up
In Spectr, open the project and go to Integrations.
Choose Read.ai and click Connect. You are redirected to Read.ai to authorise access.
Approve the request. Spectr stores an encrypted token and refreshes it automatically.
Click Import meeting and pick from your recent Read.ai meetings - search matches on title and summary.
Process, review, and publish the stories you approve.
Frequently asked questions
Can I use Read.ai and Fathom on the same project?
Yes. Meeting sources are not exclusive - a project can have all three connected and import from whichever recorded the call.
Will I have to reconnect Read.ai regularly?
No. Read.ai access tokens are short-lived, so Spectr refreshes them in the background well before they expire. You only reconnect if you revoke access on Read.ai's side.
Related
Use case
Turn meeting notes into tickets your team can start
Import a call, get a draft backlog, approve what is right
Fathom
Import a Fathom call and get structured specs and stories from its notes, action items, and transcript
Granola
Native Granola import - no Zapier, no scripts - straight through to Jira, Linear or Shortcut
Fireflies.ai
Import a Fireflies meeting and get structured specs and stories from its recap, action items, and transcript
Linear
Publish approved stories as Linear issues and keep their status and labels in sync
Shortcut
Publish approved stories into a Shortcut team and read their workflow state back
Connect Read.ai to Spectr
Free plan available - five spec sheets a month, two seats, no card required.
Free plan available. 30-day free trial on Starter.