Loom AI
Record better video messages with automatic titles, summaries, share messages, and more
Loom AI Suite is the video sharing platform’s offering that aims to make video creation and sharing more efficient and engaging.
Among the features AI Suite includes are auto-titles, auto-summaries, and auto-chapters — which are automatically generated based on the content of the video. It also introduces the ability to automatically compose messages for sharing videos, create custom Call-to-Action (CTA) buttons, identify and suggest action items through auto tasks, and improve the audio quality of videos by removing filler words and long pauses. As you can tell for yourself, these features are specifically designed to save time and enhance the clarity and impact of video messages.
Another feature we would like to highlight is support for instant transcriptions and closed captions in over 50 languages. This not only caters to the diverse linguistic needs of its global user base but also shows Loom’s commitment to make effective communication accessible to everyone.
Also worth mentioning is Loom AI Suite’s integration with Google Workspace, allowing Loom videos to be seamlessly incorporated into Google Docs and Chat, thus enhancing the workflow for Google users.
Loom’s AI capabilities are available as a paid add-on for Business and Enterprise plans. There are also free AI uses to give users a taste of what the AI Suite can do for them.
All in all, we love how the Loom AI Suite is automating some aspects of video creation and sharing, making it much easier for its users to create professionally produced clips. Check it out.
Video Overview ▶️
What are the key features? ⭐
- Auto titles: This feature can automatically generate a customized video title based on the context from the video transcript, ensuring that your videos are easily identifiable without manual input.
- Auto summaries: Provides a brief summary of your video content automatically after recording. This summary is then displayed below the video, giving viewers an overview of what to expect before they watch.
- Auto chapters: Breaks down a video into chapters based on topics discussed, making it easier for viewers to navigate to specific parts of the video without watching the entire content.
- Auto tasks: Identifies action items discussed in your video and suggests tasks that you can accept or decline - making sure viewers are aware of any follow-up actions or key points they need to remember from the video.
- Filler word removal: This feature can automatically remove filler words like "ums" and "uhs" from your video's audio and transcript, making sure your video sounds more professional.
Who is it for? 🤔
Loom AI is made primarily for professionals and organizations looking for efficient and effective ways to communicate asynchronously. This includes businesses of various sizes, from startups to large enterprises, especially those with remote or distributed teams who rely on video messaging for collaboration and updates. The tool is also highly beneficial for educators and content creators who need to produce engaging instructional materials. In addition, customer support teams can leverage Loom AI to create clear and concise support videos, enhancing the customer experience with personalized and interactive solutions.
Examples of what you can use it for 💭
- Create concise video updates instead of writing lengthy emails or documents
- If you're an educator or trainer, Loom AI can help you create more engaging and accessible instructional videos
- Create detailed support videos that address common customer questions or issues
- Use Loom AI to give feedback on documents, designs, or any work that requires a review
- For personal use, Loom AI can serve as an innovative tool for journaling, planning, and task management
Pros & Cons ⚖️
- Makes it easier to produce professional-looking videos
- Lets you communicate with video rather than long documents
- And in that sense, it enhances asynchronous communication within teams
- Not sure it's the best solution for non-Loom users
FAQs 💬
What is Loom AI, and how does it differ from basic Loom?
Loom AI builds on Loom's core screen and video recording by adding smart enhancements like auto-generated titles, summaries, chapters, and tasks, plus workflows that turn videos into docs, Jira tickets, or emails. Unlike basic Loom, which just records and shares, AI handles editing like filler word removal and silence trimming automatically, saving users about 60% more time on polishing videos. It's ideal for teams wanting quick, professional async communication without extra tools.
Is Loom AI free to try, and what are the pricing plans?
Yes, you get a 14-day free trial of the Business + AI plan when signing up, which includes all AI features without limits during that period. After that, AI is only in paid plans: Business + AI at $20 per user per month (billed annually) or Enterprise (custom pricing). The free Starter plan has no AI, just basic recording up to 5 minutes and 25 videos per user. I think the trial is a smart way to test if it fits your workflow before committing.
What languages does Loom AI support for enhancements and workflows?
Auto-enhancements like titles, summaries, and chapters work in over 50 languages, matching what you record in. However, AI workflows for creating docs or tickets are currently English-only, though Loom plans to add more soon. This makes it versatile for global teams on basic edits but might limit advanced use if your team isn't English-focused.
How does Loom AI handle data privacy and security?
Loom sends only text transcripts to OpenAI for generating titles and summaries, never full videos or audio, and those providers don't use your data to train models. They comply with SOC 2, ISO 27001, and GDPR via data processing agreements with subprocessors like AWS. Videos stay encrypted, and Enterprise adds SSO and custom retention. It's solid for most businesses, but if you're in a strict industry, check their full sub-processor list.
What are the main features of Loom AI for meetings and workflows?
For meetings, it auto-records Zoom, Google Meet, or Teams sessions, then generates notes, action items, and recap emails. Workflows let you turn a quick video into Jira/Linear tickets, SOP docs, or email drafts with screenshots and steps pulled from your recording. Other perks include 18% higher viewer engagement from auto-chapters and CTAs. Users say it cuts re-recording by making first takes better.
What common issues do users report with Loom AI, and how to fix them?
Some face crashes during recording, especially on Windows or with 4K, or inaccurate AI summaries that need tweaks. Audio glitches and slow uploads pop up too. Fixes include restarting the app/browser, clearing Chrome cache, or checking upload speeds (needs 5Mbps). For AI errors, ensure you're on the latest version; support says 90% resolve with a quick reset. It's not perfect, but updates in 2025 have helped.
How does Loom AI compare to alternatives like Claap or Vidyard?
Loom AI shines in quick async videos with deep Atlassian integrations (Jira, Confluence), but Claap offers better unlimited storage and AI coaching insights for sales teams at similar pricing. Vidyard adds advanced analytics and CTAs for marketing, though it's pricier without a free tier. If you need more editing, Zight or ScreenFlow might edge it out, but Loom's 96% user satisfaction for workflows makes it great for dev and support teams.
Can Loom AI integrate with tools like Slack, Jira, or email?
Absolutely, it auto-posts videos to Slack with AI summaries, creates Jira/Linear issues from bug videos, and generates email drafts with links and context. Upcoming features include Confluence page creation and Salesforce ties. Over 100 integrations exist, but setup needs admin approval for some. This makes it a time-saver for hybrid teams, probably boosting productivity by 73% as users report.
Is Loom AI good for non-English speakers or global teams?
Enhancements support 50+ languages for transcripts and edits, so it's usable worldwide for basic sharing. But workflows are English-only right now, which could frustrate non-native teams on docs. Reviews from international users praise the multilingual basics, yet suggest waiting for expansions. If language is key, tools like Descript might handle it broader.
What upcoming features should I watch for in Loom AI?
Soon: Auto-capture of dev tools like console logs for tickets, AI voices/avatars for scalable videos without re-recording, Confluence integrations for direct doc pasting, and auto-visuals like GIFs/screenshots in guides. These build on current strengths, addressing user asks for more automation. I suspect they'll make it even harder to switch away once live.
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Last update:
November 11, 2025
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