Face Swap Tool
Swap a manually positioned square face region between two similarly framed local images. This is a transparent region-compositing utility, not AI face detection or identity synthesis.
Use the Face Swap Tool
Swap a manually positioned square face region between two similarly framed local images. This is a transparent region-swap tool, not AI face detection.
Supported processing happens locally in your browser; files are not uploaded by this tool.
This is a manual image-region transformation, not biometric identification or AI face detection. Only use images you are entitled to edit and review the result before sharing.
How to use it
Start with the worked settings, choose a local file, inspect the output and keep the original until the generated result has been independently checked.
How the Face Swap Tool works
Swap a manually positioned square face region between two similarly framed local images. This is a transparent region-swap tool, not AI face detection. The methodology documents the real Build 0199 production workflow, its verified QA fixture and the limits that prevent generated or transformed content from being represented as independently verified fact.
Calculation breakdown
ToolLott will explain the current inputs and displayed result here.
Assemble or transform the requested content from explicit user inputs
The Face Swap Tool validates its supplied fields/options, performs the page-specific operation — Swap a manually positioned square face region between two similarly framed local images. This is a transparent region-swap tool, not AI face detection — and returns the Build 0199 verified outcome “Face-region swap: 32% crop - 18% edge blend”. The tool does not silently claim external research, authorship, originality, accuracy or legal/academic acceptance.
| Symbol / input | Meaning | Unit |
|---|---|---|
source | Base image | user input |
donor | Donor image | user input |
regionSize | Face-region size (% of image width) | user input |
blend | Edge blend (%) | user input |
Step-by-step method
- Validate the required text, fields, options or source content shown on the page.
- Swap a manually positioned square face region between two similarly framed local images. This is a transparent region-swap tool, not AI face detection.
- Review and edit the generated/transformed output before sending, publishing, submitting or relying on it.
Worked example
Daniel, a content and operations specialist, A designer has two consented staff headshots framed similarly and needs to mock up a face-region swap for an internal concept without uploading either image or pretending the tool performs biometric matching.
Example inputs
- Face-region size (% of image width): 32
- Edge blend (%): 18
Calculation / processing
Use the verified QA fixture: Face-region size (% of image width): 32; Edge blend (%): 18.Apply the production assemble or transform the requested content from explicit user inputs workflow exactly as described on this page.The production QA fixture reports: Face-region swap: 32% crop - 18% edge blend.
The result is the verified Build 0199 output for this exact scenario. It should be interpreted with the displayed inputs, assumptions and limitations rather than as context-free advice.
Assumptions
- The user has the right to use the supplied source material and provides the factual context required by the tool.
- Generated or transformed text is based on the explicit inputs and documented local/template rules; hidden factual verification is not assumed.
Limitations
- Generated text can be incomplete, awkward or unsuitable for a specific audience and must be reviewed by the user.
- For plagiarism, grammar, translation, career, academic, legal or professional use, this utility cannot guarantee originality, acceptance, semantic equivalence or compliance beyond its documented checks.
Common questions
What does the Face Swap Tool actually do?
Swap a manually positioned square face region between two similarly framed local images. This is a transparent region-swap tool, not AI face detection. The methodology documents the production calculation or transformation rather than a generic description.
Does the worked example match the real ToolLott tool?
Yes. It is tied to the passed production QA fixture for Build 0199, including the expected summary.
What should I verify before relying on the output?
Check the entered values, stated assumptions, support boundaries and any authoritative sources linked on the page; independently review high-stakes use.
Methodology sources
This page uses basic mathematical or ToolLott implementation logic that does not require an external factual source. The worked result is still tied to the production tool and QA example.
Related ToolLott tools
A realistic way Daniel could use this tool
Daniel is a content and operations specialist.
A designer has two consented staff headshots framed similarly and needs to mock up a face-region swap for an internal concept without uploading either image or pretending the tool performs biometric matching.
With both consented 640 x 480 staff photos on the device, Daniel loads the base portrait and donor portrait, keeps a 32% centred face-region crop and 18% edge blend, then checks the preview before saving the PNG. No image is uploaded and there is no claim of automatic face recognition.
The browser creates a 640 x 480 PNG with the donor centre region blended into the base image. The original files remain unchanged, so Daniel can use the mock-up for an internal concept and discard it without exposing either portrait to a remote service.
Fictional scenario using realistic example data. For Ready tools, the worked result is tied to the tested example shown in the tool. Replace the figures with your own inputs and independently verify important professional, financial, legal, health or safety decisions.
What this tool is for
Use it to swap a manually positioned square face region between two similarly framed local images; it does not perform AI face detection.
It sits within ToolLott’s Image Tools collection, where you can also pick colours, compress, crop, resize, rotate, watermark, convert and prepare images for common web and document uses.