Acorn application guide
Text Lab
A focused table view can be the quickest route through a large output. Text Lab keeps the fields needed to check a lead beside the filtered records.
Demonstrated on public training data
Which log or CSV rows matter to this question, and can their source fields stay visible?
Start with
- Forensic text logs and CSV records, including a public PowerShell-related example.
What you can take away
- Filtered tabular and text review views.
View full screenOpen the screenshot and choose “View actual size” to read the records at their original resolution.
A practical starting point
How the workflow fits together.
Open the relevant table or text output.
Filter the records while retaining event IDs, times and command context.
Return to the underlying source before treating a match as a finding.
Useful next steps
Start with your requirements
Bring a sample question.
Ask us to demonstrate this workflow with suitable public or constructed material. Do not send confidential evidence in an initial enquiry.
Planned for Q1 2027
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About the screenshots and illustrations
Application screens are selected from the September 2026 Acorn screenshot pack. Captions distinguish native setup views, constructed training records and public-corpus results. They are not private client cases, and a displayed control does not establish that every operation was completed.
Relevant public sources include DeepBlueCLI training event logs and Plaso test data. Check the relevant source terms before redistributing an underlying dataset.
Workspace scenes and sector mascot variants are generated illustrations. They do not show actual police, judicial, military or university deployments or endorsements. The original Squirrel Forensics identity is retained.