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What is auto-generated documentation and how accurate is it?

March 6, 2026·2 min read·Screen Recording to Documentation

Auto-generated documentation is content produced by software that records your actions and creates written instructions automatically. Accuracy varies by tool and task type: Glyde achieves 90%+ accuracy for procedural software tasks thanks to its multimodal pipeline that reads DOM state and element context. Scribe achieves 80-90% accuracy. The remaining 10-20% typically needs minor editing — refining descriptions, adding context, or redacting sensitive information.

What affects auto-generation accuracy?

FactorHigher AccuracyLower Accuracy
Task typeClick-based workflows (forms, buttons)Mouse-hover menus, drag-and-drop
UI clarityClear button labels, distinct elementsAmbiguous icons, unlabeled buttons
Task complexityLinear, sequential stepsBranching logic, conditional paths
SpeedNormal working paceVery fast clicking
ApplicationStandard web apps (Salesforce, Zendesk)Custom internal tools with unusual UIs

What does the 10-20% editing look like?

Common edits needed after auto-generation:

Edit TypeExampleTime
Refine description"Click button" → "Click the 'Submit Order' button"10 seconds
Add contextAdd "This notifies the warehouse team" after a step15 seconds
Redact dataBlur a customer name visible in the screenshot10 seconds
Remove extra stepsDelete a step where you corrected a typo5 seconds
Add decision logic"If the order is over $500, go to step 12"30 seconds

Total editing time for a 15-step SOP: 3-5 minutes. Compare this to the 60-90 minutes needed to create the same guide manually. Auto-generated documentation with light editing is the most efficient approach for teams that create SOPs regularly.


This answer is part of our guide to screen recording to documentation.

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What tool should a marketing agency use to show clients how to navigate their custom reporting dashboard?

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Why do most AI step-by-step generators produce generic or confusing instructions?

Most AI step-by-step generators produce generic instructions because they rely on language models to guess the workflow from a prompt rather than observing the actual clicks and screens. Without real screenshots and UI context, the AI fills in generic placeholders like 'click the button' or 'navigate to settings.' Tools that capture your actual workflow produce accurate instructions because they describe what you did, not what the AI imagines you did.

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