Loom (AI)
Loom is asynchronous video messaging: record your screen and camera, and an instant share link replaces the meeting the message would otherwise become. It is Atlassian-owned, keeping its name and domain while gaining native Jira and Confluence integrations.
Loom AI turns each recording into work product. Titles generate on every plan; summaries, chapters, task extraction and silence removal sit on the upper tiers; and a video can become a doc, a message or a Jira issue automatically. Meeting recording with auto-recaps for Zoom, Google Meet and Teams makes it a meetings tool as well as a messaging one.
The free plan is a genuine trial, with capped video counts and five-minute recordings. Most of the AI arrives with the paid tiers, and Atlassian-shop teams get the most from the full loop, from recorded walkthrough to Jira work item.
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Model
- Hosted service
- Checked
- August 2026
Prices, plans and model versions change fast: this is a mid-2026 snapshot; check the tool's official site for the latest.
Best for
- Async screen and camera video messages that replace meetings
- Turning a recording into a doc, message or Jira issue
- Meeting recording with auto-recaps for Zoom, Meet and Teams
- Sales outreach videos with CTA buttons and video variables
- Process walkthroughs and training clips for Atlassian-shop teams
Less suited to
Loom is a messaging recorder, not a production editor. Colour work, multitrack timelines and polished cuts belong to dedicated editing tools, and avatar video generated at scale is a different category entirely. The free plan is a trial rather than a working tier, with capped video counts and five-minute recordings, and most of the AI sits on the paid tiers.
Meeting recording carries its own obligation. Participants should know a recorder is running and consent norms vary by jurisdiction, so make disclosure the habit rather than assuming the tool covers it.
Costs & data, in short
Loom is freemium with a real free tier. The Starter plan includes up to 25 videos per person, five-minute recordings, transcription in more than 50 languages and room for up to 50 workspace members. Paid tiers are Business, Business + AI and Enterprise, and the names describe the gate: AI auto-titles reach every plan, but summaries, chapters, task extraction and silence removal concentrate on Business + AI and Enterprise, so the AI is effectively a paid feature for working teams. Enterprise is custom, contact-sales territory. Budget against the AI tier rather than the free one if the conversion features are the reason for choosing it, and check the current plan matrix on the official pricing page, since the per-plan AI split has shifted before.
Loom is closed and Atlassian-owned, so recordings, transcripts and the AI outputs derived from them live in Atlassian's cloud estate under its terms and workspace governance. The share-link model is the working risk: a Loom is built to travel, so treat link permissions and workspace access settings as part of the rollout rather than an afterthought. Meeting recording carries the sharper obligation: participants should know the recorder is running, and consent norms vary by jurisdiction, so make disclosure the routine before auto-recaps become the default record of calls. AI features process the recording and its transcript to produce summaries, docs and tasks, and Atlassian documents the conversion workflows as currently English-only; check the current Atlassian privacy and trust documentation for training, retention and subprocessor detail before rolling the AI tiers out on customer-facing or confidential calls.
Plans
| Starter | Free |
|---|---|
| Business | $18per user, per monthbilled monthly; $180 per user per year if billed annually |
| Business + AI | $24per user, per monthbilled monthly; $240 per user per year if billed annually |
| Enterprise | Price on applicationno list price published |
Prices as of August 2026. Prices and plans change regularly. Check with the provider before you buy.
In practice
How Loom (AI) is used, area by area.
Jobs
Education & training
Training content dies of staleness
Training content dies of staleness, and Loom's transcript-first editing is built for the maintenance burden. Record an onboarding walkthrough once, and when the interface or the policy changes, edit the transcript and text-to-speech regenerates the audio rather than forcing a re-record. Chapters make a longer module navigable, auto-generated summaries give learners the written skim, and the video-to-doc workflow produces the companion guide from the same take. Transcription in more than fifty languages covers a multilingual workforce on the watching side, and the short-recording habit maps naturally onto microlearning, one question answered per clip. Trainers and enablement teams maintaining a library of how-to content against a product or process that keeps changing gain most.
Example tasks
- Record an onboarding walkthrough of the real interface in one take
- Update a stale module by editing the transcript instead of re-recording
- Add chapters so learners jump straight to the step they need
- Turn a walkthrough into a written companion guide with the AI workflow
- Answer a recurring how-do-I question once with a shareable clip
Limits
Loom is not an LMS. Enrolment, assessment and certification live elsewhere, and a structured curriculum still needs instructional design around the clips; formal, brand-polished course video is a production job rather than a recording one.
The AI workflows that convert video to documentation currently generate English only, per Atlassian's documentation, so multilingual programmes get transcripts broadly but the doc layer narrowly, and most of the AI, summaries, chapters and tasks included, sits on the upper paid tiers.
Compares
| vs | Pick Loom (AI) when | Pick the other when |
|---|---|---|
| SynthesiaFull comparison → | Loom (AI) is the trainer recording the real interface in the time the explanation takes | the programme needs presenter-led video generated from scripts at a scale and language range nobody could record |
| HeyGenFull comparison → | Loom is built for the maintenance burden: a stale module is fixed by editing the transcript while text-to-speech regenerates the audio, though the doc layer generates English only and none of it is an LMS | one instructor presence should hold across a curriculum and localise with lip-sync |
Operations
Operations runs on explanation at volume
Operations runs on explanation at volume, and Loom converts it to async. A five-minute walkthrough of the new intake process replaces the recurring training call, the share link goes straight into the runbook, and Loom AI turns the same recording into a written doc, so the SOP exists in both formats from one take. Recorded meetings come back as recaps with action items pulled out, and for Atlassian shops the handoff continues into Jira, so a process review ends as work items rather than a transcript nobody reads. Silence removal and edit-by-transcript keep cleanup to minutes, and auto-generated titles, summaries and chapters make the library searchable instead of a pile of unnamed videos. Distributed operations teams whose process knowledge currently lives in recurring meetings gain most.
Example tasks
- Record a process walkthrough and drop the share link into the runbook
- Turn a recorded walkthrough into a written SOP with the video-to-doc workflow
- Recap a recorded operations review and hand the action items into Jira
- Strip silences and trim the transcript before a walkthrough ships
- Replace the recurring explain-it-again call with a searchable video library
Limits
Meeting recaps only earn trust if the recording did. Participants should know the recorder is running and consent norms vary by jurisdiction, so make disclosure part of the meeting routine before auto-recaps become the default record; a dedicated notetaker such as Fathom is the honest comparison if meeting capture is the whole need.
Loom documents processes; it does not run them. Workflow automation, scheduling and systems of record sit elsewhere, and the summaries and tasks that make the library manageable sit on the upper paid tiers.
Compares
| vs | Pick Loom (AI) when | Pick the other when |
|---|---|---|
| DescriptFull comparison → | Loom (AI) gets an operations walkthrough recorded, cleaned and converted to a doc in minutes with no editing session | the recording is destined for polished internal comms that need a real edit |
| ScribeFull comparison → | Loom (AI) replaces the recurring explain-it-again call: a walkthrough recorded once becomes the SOP, the recap and the Jira work items from a single take, and the share link goes into the runbook where the work happens | a colleague should follow numbered steps and annotated screenshots at their own pace instead of watching |
Sales
Sales video works because a face over a screen beats another wall of text, and Loom keeps the friction low enough to send one daily. A prospect gets a two-minute recorded walkthrough of their own use case rather than a generic deck, CTA buttons put the booking link inside the video itself, and video variables let one recording carry personalised elements across a list instead of demanding a fresh take per prospect. Recorded demo calls come back as recaps with action items pulled out, so the follow-up drafts from what was actually said, and summaries and chapters let a manager skim a call without watching it end to end. The recording is recognisably you, which is the point of the format: outreach that trades raw volume for trust. Sellers running considered, higher-touch pipelines where a real walkthrough moves the deal gain most.
Example tasks
- Record a prospect-specific demo and drop the link into the outreach email
- Put a booking CTA button inside the video itself
- Personalise one recording across an account list with video variables
- Turn a recorded demo call into a recap with next steps for the CRM
- Walk a proposal through on camera before the pricing call
Limits
Recorded calls need the other side aware. Participant consent norms vary by jurisdiction and a surprised prospect costs more than any recap is worth, so disclose before the recorder runs. Teams whose real need is conversation intelligence, coaching analytics and pipeline insight are shopping for a revenue platform such as Gong rather than a video messenger.
At true volume the personal-recording model runs out of hours. Video variables stretch one take across a list, but a thousand-contact sequence is a different motion, and most of the AI that speeds follow-up sits on the upper paid tiers.
Compares
| vs | Pick Loom (AI) when | Pick the other when |
|---|---|---|
| HeyGenFull comparison → | Loom (AI) sends the seller's own face and screen, which is what makes the message land as a personal walkthrough rather than produced content | personalised avatar video at a volume no calendar could record is the play |
Tasks
Video generation & editing
Loom holds down the capture end of the category
Loom holds down the capture end of the category: nothing is generated, everything is recorded, and the AI spends its effort getting a real take shippable fast. Filler-word and silence removal clean the audio automatically, edit-by-transcript cuts the video by deleting text, live rewind fixes a stumble without restarting the take, and when the words themselves need changing, text-to-speech rewrites them without a re-record. Every video lands on an instant share link with an auto-generated title, and summaries, chapters and the video-to-doc workflow turn a recording into written artefacts as well as a watchable one. The design bet is speed over production, the shortest path from something to explain to a video someone can watch. Teams that ship screen-and-face video daily and would rather record than produce gain most.
Example tasks
- Record screen and camera and share the link the moment the take ends
- Strip filler words and silences from a recording automatically
- Cut a video by deleting lines from its transcript
- Fix a stumble with live rewind instead of restarting the take
- Rewrite a flubbed line with text-to-speech instead of re-recording
Limits
Anything that starts from a script rather than a screen sits outside the shape. Avatar presenters, generative footage and brand-polished production belong to other corners of the category. There is no multitrack timeline and no compositing, so a recording that needs real post-production outgrows Loom quickly, and the AI editing conveniences concentrate on the upper paid tiers.
Compares
| vs | Pick Loom (AI) when | Pick the other when |
|---|---|---|
| SynthesiaFull comparison → | Loom (AI) records a real person and a real screen in the time the explanation takes | the video must be generated from a script, presenter-led and localised at a scale nobody could record |
| DescriptFull comparison → | Loom (AI) treats recording as messaging, with share links, titles and doc conversion arriving the moment the take ends | the recording is raw material for a produced piece that needs a full transcript-based edit |
| HeyGenFull comparison → | Loom fixes a stumble with live rewind rather than a retake, strips filler words and silences automatically, and cuts by deleting lines from the transcript, with no multitrack timeline and no compositing anywhere in it | the presenter should be synthetic, convincing and multilingual |
Where to start
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Alternatives
Same category, different strengths.
Appears in these stacks
Curated combinations this tool is part of.
Common questions
Is Loom (AI) free?
There's a free tier to start; paid plans add capacity and features.
Where does Loom (AI) fit best?
Loom (AI) fits best in Operations and Sales; see its practice notes for how.
Before sharing confidential or personal data, check this tool's data-governance and training policies. They differ between providers and can change.
Last checked: August 2026