Who should use the Detect image manipulation workflow?
Teams or solo builders working on security & privacy tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
5-step pipeline — follow each step in order
1Setup · Step 1 of 5
Open task pageDetect deepfakes
Prepare inputs and settings through Detect deepfakes before running detect image manipulation.
Why this matters
Detect deepfakes sets up the foundation for detect image manipulation; clean inputs here reduce downstream rework.
What you get
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
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2Input · Step 2 of 5
Open task pageDetect liveness
Use Detect liveness to build supporting assets that improve detect image manipulation quality.
Why this matters
Detect liveness strengthens detect image manipulation by feeding better supporting material into the pipeline.
What you get
Supporting assets from detect liveness are prepared and connected to the main workflow.
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3Input · Step 3 of 5
Open task pageDetect security threats
Use Detect security threats to build supporting assets that improve detect image manipulation quality.
Why this matters
Detect security threats strengthens detect image manipulation by feeding better supporting material into the pipeline.
What you get
Supporting assets from detect security threats are prepared and connected to the main workflow.
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4Core · Step 4 of 5
Open task pageDetect image manipulation
Execute detect image manipulation with Detect image manipulation to produce the primary visual asset.
Why this matters
This is the core step where detect image manipulation actually happens, so it determines baseline quality for everything after it.
What you get
A first-pass visual asset is generated and ready for refinement in the next steps.
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5Deliver · Step 5 of 5
Open task pagePerform facial recognition
Package and ship the output through Perform facial recognition so detect image manipulation reaches end users.
Why this matters
Perform facial recognition is what turns intermediate output into a usable, publishable result for real users.
What you get
A finalized visual asset is ready for publishing, handoff, or integration.
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