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A free trial is offered from the homepage, with a start free trial link alongside a book a demo option. No trial length or included features are stated on the page.
Learn moreScreenJournal AI
Reads on-screen work into a timeline, then deletes the video
Beginner API
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What is ScreenJournal AI?
ScreenJournal AI is an AI screen analyzer tool. An AI work visibility tool that records screen activity as short-lived video, reads the work performed from it, and deletes the footage by default. It keeps a derived timeline and 12 month chronicle, auto-generates timesheets, reports and standups, and answers manager questions with cited sources.
ScreenJournal is an AI work visibility tool built around a single architectural idea the company calls derive-and-discard. Screen activity is captured as short-lived video while work happens, a frontier AI model reads that video to understand what was done and in which apps, and then, by default, the video is deleted during processing. What survives is a derived record: a per-person timeline of the day, a searchable chronicle of the most recent 12 months of work history, automatic timesheets and productivity reports, and a natural language layer called Ask AI that answers questions about the team with citations back to the underlying timeline entries. The product is aimed at managers and operations leads who currently rely on screenshot trackers, activity scoring or manual timers. ScreenJournal positions itself against those categories by refusing keystroke logging entirely and by scoping capture to work apps and work-related activity, with personal activity skipped in real time rather than filtered afterwards. A manager who needs actual video evidence can opt in to keeping recordings for that team, stored for up to three months. Redacted entries are erased completely and do not appear in any search. In practice a team installs the desktop client (Windows and macOS now, Linux and mobile stated as coming soon), works as normal, and by the end of the day has a timeline for each person plus a timesheet that was not chased. Over weeks the timelines accumulate into the chronicle, and the weekly digest opens with the largest change of the week and flags who may need a check-in. A second layer mines each day into tasks with their steps, apps and duration, flags repeats and loops, and surfaces work worth automating with an estimate of the hours it consumes and how many people do it. ScreenJournal sits between employee monitoring and workflow analytics. It competes with screenshot and surveillance suites on privacy terms, not on capture breadth, and with time tracking tools on the fact that nothing is started or stopped by the employee. Teams that require continuous video archives, or that need coverage on Linux, iOS or Android today, will find the default deletion model and the current platform list get in the way.
How do you use ScreenJournal AI?
1Install the desktop client on Windows or macOS
Download and install ScreenJournal on each team member's machine. Capture is scoped to work apps and work-related activity, and personal activity is skipped in real time.2Let a normal workday run and review the derived timeline
Work as usual, then open the timeline to see which apps and tasks filled the day and how long each block actually took.3Check the automatic timesheets and productivity reports
Timesheets and reports are generated from the recorded work rather than from timers, so review them for accuracy instead of compiling them by hand.4Ask a question in plain English with Ask AI
Query the team's week, ask who needs a check-in, or request a draft standup in the team's own format. Each answer cites the timeline entries it drew from.5Review flagged repeated tasks for automation
Open the task mining view to see which work repeats, how many hours it consumes and how many people perform it, then shortlist candidates for automation.6Connect the chronicle to your own tools through MCP
Use the ScreenJournal MCP integration to pull derived work history into your own models and internal tooling, including on-request standup drafting.
Pros and cons
Pros
- Derived timelines show apps, tasks and real duration per person per day without anyone starting a timerAI
- Raw screen video is deleted during processing by default, so there is no footage archive to leak or browseAI
- Keystrokes are never logged in any mode, which removes a common objection to monitoring toolsAI
- Every Ask AI answer cites the timeline entries behind it instead of relying on memoryAI
- Task mining flags repeated work with hours consumed and headcount, giving automation a factual starting pointAI
Cons
- No public pricing tiers or per-seat rates appear on the homepage, so budget planning needs a sales conversationAI
- Linux, iOS and Android are described as coming soon, so cross-platform teams cannot deploy uniformly yetAI
- Recording still happens continuously even when the footage is discarded, so employees must accept ongoing screen captureAI
- Opting in to retained video evidence keeps that team's recordings for up to three months, reversing the privacy defaultAI
- Derived analytics only cover the most recent 12 months, which limits year-over-year historical comparisonsAI
How much does ScreenJournal AI cost?
Integrations
The homepage lists ScreenJournal MCP as the integration path, letting the work chronicle plug into a customer's own tools and models. No other named third party integrations appear on the page.
Learn moreFeatures
Core features are per-person work timelines, automatic AI timesheets and productivity reports, a searchable 12 month work chronicle, a weekly digest of the biggest changes, and Ask AI with cited answers. Task mining groups each day into tasks with steps, apps and time, flags repeats and loops, and identifies automation opportunities. MCP support exposes the chronicle to external tools and models.
Learn moreFrequently asked questions about ScreenJournal AI
Does ScreenJournal AI offer a free trial?
A free trial is offered from the homepage, with a start free trial link alongside a book a demo option. No trial length or included features are stated on the page.Does ScreenJournal AI have an API?
Yes, ScreenJournal AI offers an API.How do you use ScreenJournal AI?
The walkthrough on this page covers 6 steps: 1. Install the desktop client on Windows or macOS 2. Let a normal workday run and review the derived timeline 3. Check the automatic timesheets and productivity reports 4. Ask a question in plain English with Ask AI 5. Review flagged repeated tasks for automation 6. Connect the chronicle to your own tools through MCP.What platforms does ScreenJournal AI support?
ScreenJournal AI is available on Windows, MacOS and Web App.What does ScreenJournal AI integrate with?
The homepage lists ScreenJournal MCP as the integration path, letting the work chronicle plug into a customer's own tools and models. No other named third party integrations appear on the page.What are the limitations of ScreenJournal AI?
No public pricing tiers or per-seat rates appear on the homepage, so budget planning needs a sales conversation. Linux, iOS and Android are described as coming soon, so cross-platform teams cannot deploy uniformly yet. Recording still happens continuously even when the footage is discarded, so employees must accept ongoing screen capture.
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Added10/21/2026
Platforms
WindowsMacOSWeb App
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