Loom

About Loom

Loom is Atlassian's video messaging and AI meeting notes application for teams that want to explain work without adding another live meeting. It records screen, camera and voice, produces shareable video, supports meeting recaps and uses Loom AI for summaries, chapters and workflow outputs. Within Atlassian's Teamwork Collection, Loom is the asynchronous communication layer alongside Jira for work tracking, Confluence for knowledge and Rovo for AI-assisted search and actions.

What can teams do with Loom?

Teams can record their screen, camera and voice together, then share the result with a link instead of scheduling a meeting. Loom also supports screenshots, comments and reactions so viewers can respond at the point where context appears. Common uses include product walkthroughs, engineering handoffs, design feedback, bug reports, sales outreach, onboarding and status updates.

Loom also supports meeting recording and recaps. Atlassian's current product page says Loom can join video calls, create notes and action items, and add meeting notes to Confluence. This makes it useful both for fully asynchronous updates and for reducing the manual follow-up work after a live meeting.

How does Loom AI change the workflow?

Loom AI can automatically generate titles, summaries and chapters from a recording. Atlassian also documents AI workflows that turn a video into written outputs such as documents, messages and bug reports. For teams that regularly explain the same work twice, first in video and then in text, this can reduce duplication.

The value depends on governance as well as convenience. Organizations should confirm which AI features are included in their plan, how recordings are handled, who can access generated content and whether sensitive meetings should be excluded. Teams should also review output before treating an AI-generated summary or action list as authoritative.

How does Loom fit into Atlassian Teamwork Collection?

Atlassian currently includes Loom with Jira, Confluence and Rovo in Teamwork Collection. Jira tracks the work, Confluence stores durable knowledge, Loom captures visual and spoken context, and Rovo can use connected context across supported Atlassian apps. Atlassian's Teamwork Collection guide also says Loom recordings can help create Jira work items and Confluence pages.

This integration is most useful when a recording should lead directly to action or documentation. A product demo can become a follow-up issue, a walkthrough can be linked from a Confluence page, and a project update can stay attached to the work it explains. Teams using Loom as a standalone recorder should compare whether the collection adds enough value to justify broader Atlassian adoption.

What does Loom cost in September 2026?

Pricing checked on September 7, 2026 against Atlassian's official Loom pricing page. Loom Starter is free and includes up to 25 recordings with a five-minute limit for standard video recordings. Loom Business is listed at $18 per user per month and adds unlimited videos, unlimited recording time, basic editing, branding controls, uploads and downloads, and viewer access controls. Business + AI is listed at $24 per user per month and adds advanced AI enhancement, text-based editing, video-to-text workflows, meeting notes and additional AI features.

Enterprise pricing is sales-assisted rather than shown as one public flat rate. Atlassian also notes that annual billing can reduce the effective price compared with monthly billing. Buyers should verify their actual seat model, billing cycle and whether their Loom workspace has been integrated into Atlassian administration, because billing roles and account management have changed as Loom has moved into Atlassian's platform.

What should buyers know about Loom limits and administration?

The free Starter plan is intentionally limited. Atlassian currently documents a 25-video and screenshot limit and a five-minute recording limit for standard recordings. Paid plans remove those basic recording constraints and add more editing, administration and AI capability.

Administration also matters for larger rollouts. Organizations should define who can create content, how long recordings should be retained, which spaces are private or broadly shared and how sensitive customer or employee information is handled. Video libraries can become difficult to manage if teams record everything but do not organize, name or archive content consistently.

What integrations matter most for Loom buyers?

Loom becomes more valuable when recordings connect to the systems where work already happens. Atlassian highlights Jira and Confluence integrations, including workflows that can convert video context into work items or documentation. Loom can also be embedded and shared through common collaboration tools, which reduces the need for viewers to leave their normal workflow.

Buyers should verify the exact integration behavior they need rather than assuming every connection is bidirectional. A simple embed is different from creating structured work, synchronizing permissions or carrying AI-generated context into another system.

What are Loom's main limitations?

Video is not always the best format. A short written note can be faster to scan, search and maintain than a five-minute recording. Teams that overuse video can create a new form of information overload, especially when important decisions are buried inside recordings without accompanying text or links.

Loom also introduces storage, privacy and governance considerations that do not exist with a simple message. AI features can add cost or plan requirements, and some teams may already have sufficient recording and meeting-note capability inside Microsoft Teams, Zoom, Google Meet or another suite they use every day.

How does Loom compare with alternatives?

Teams already standardized on Microsoft Teams, Zoom or Google Meet should compare whether those platforms already provide enough recording, transcription and meeting-summary capability. Vidyard can be a stronger fit when video is centered on sales outreach and viewer analytics. Screen Studio and similar tools can appeal to individuals who mainly want polished recordings rather than a shared enterprise video workspace.

Loom's strongest advantage is its combination of fast recording, easy sharing and integration with Atlassian's connected work environment. The decision should depend on whether asynchronous video improves an existing workflow, not simply whether video recording is available.

Who should choose something else instead of Loom?

Teams should consider another product if most communication is already efficient in text, if recordings would create more review time than they save, or if an existing meeting platform already satisfies recording and recap needs. Highly regulated environments should also verify retention, privacy, residency and access requirements before expanding video capture.

Loom is a better fit when teams frequently need to explain visual work, reduce meetings, preserve walkthroughs and connect recorded context with Jira, Confluence or the wider Atlassian platform. The strongest use case is not recording for its own sake, but replacing repetitive explanation with reusable context.