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Technology Digital MediaTop 10 Best Face Morph Software of 2026
Compare Face Morph Software picks and rank the top tools for face morphing with MorphX AI, Fotor AI Avatar Generator, and MyHeritage.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
MorphX AI
Likeness preservation controls for maintaining identity during AI face morph sequences
Built for creators needing fast AI face morphs with consistent likeness control.
Fotor AI Avatar Generator
AI face morph avatar generation from uploaded photos
Built for creators needing fast AI face morph avatars for social profiles and campaigns.
MyHeritage Deep nostalgia
Deep Nostalgia Face Animator turns uploaded photos into AI-driven morph motion clips
Built for personal photo archivists turning portraits into shareable face animations.
Related reading
Comparison Table
This comparison table evaluates Face Morph Software tools used to generate, transform, and enhance face images, including MorphX AI, Fotor AI Avatar Generator, MyHeritage Deep nostalgia, DeepFaceLab, and Kapwing. Each row highlights the practical differences that affect results, such as input and output formats, automation level, quality controls, and typical use cases like avatar creation, nostalgia edits, or deepfake-style face swapping. Readers can scan the table to match a tool to their workflow and decide which option fits their accuracy and editing needs.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | MorphX AI AI face morphing and face blend generation that creates interpolated morph frames from uploaded face photos. | AI face morphing | 9.3/10 | 9.3/10 | 9.6/10 | 9.0/10 |
| 2 | Fotor AI Avatar Generator AI-powered face generation and face transformation workflows that support blended and stylized face outputs for morph-like results. | AI face effects | 9.1/10 | 8.8/10 | 9.2/10 | 9.3/10 |
| 3 | MyHeritage Deep nostalgia Image-based AI face restoration features that include face transformation workflows useful for generating morph-adjacent outputs. | photo AI | 8.7/10 | 8.6/10 | 9.0/10 | 8.6/10 |
| 4 | DeepFaceLab Open-source face reenactment tooling that can be used to generate face morph sequences from aligned face inputs. | open-source toolkit | 8.4/10 | 8.4/10 | 8.3/10 | 8.6/10 |
| 5 | Kapwing Browser-based video and image editing that supports face transformation effects and frame workflows for creating morph sequences. | online editor | 8.2/10 | 8.0/10 | 8.4/10 | 8.1/10 |
| 6 | Canva AI-assisted image editing features that enable face retouching and transformation operations for manual morph frame creation. | design editor | 7.9/10 | 7.6/10 | 8.1/10 | 8.0/10 |
| 7 | Adobe Photoshop Layer-based morphing and face warping workflows using Liquify and transform tools to build interpolated face transitions. | pro editor | 7.5/10 | 7.5/10 | 7.4/10 | 7.7/10 |
| 8 | DaVinci Resolve Professional video compositing with motion tracking and fusion-based warping used to create interpolated face morph shots. | video compositor | 7.3/10 | 7.2/10 | 7.4/10 | 7.2/10 |
| 9 | Blender 3D modeling and mesh deformation tools that support custom face morph targets and frame interpolation for morph animations. | 3D morph | 7.0/10 | 7.0/10 | 7.1/10 | 6.9/10 |
| 10 | Reface AI face replacement and transformation features that produce video face effects which can be adapted into morph-like transitions. | AI face video | 6.7/10 | 6.8/10 | 6.7/10 | 6.6/10 |
AI face morphing and face blend generation that creates interpolated morph frames from uploaded face photos.
AI-powered face generation and face transformation workflows that support blended and stylized face outputs for morph-like results.
Image-based AI face restoration features that include face transformation workflows useful for generating morph-adjacent outputs.
Open-source face reenactment tooling that can be used to generate face morph sequences from aligned face inputs.
Browser-based video and image editing that supports face transformation effects and frame workflows for creating morph sequences.
AI-assisted image editing features that enable face retouching and transformation operations for manual morph frame creation.
Layer-based morphing and face warping workflows using Liquify and transform tools to build interpolated face transitions.
Professional video compositing with motion tracking and fusion-based warping used to create interpolated face morph shots.
3D modeling and mesh deformation tools that support custom face morph targets and frame interpolation for morph animations.
AI face replacement and transformation features that produce video face effects which can be adapted into morph-like transitions.
MorphX AI
AI face morphingAI face morphing and face blend generation that creates interpolated morph frames from uploaded face photos.
Likeness preservation controls for maintaining identity during AI face morph sequences
MorphX AI stands out by focusing specifically on face morphing workflows built around AI-driven transformations. The tool supports morph sequences that blend source and target faces into smooth intermediate frames. It provides controls for likeness preservation so results can stay consistent across the morph progression. Export-ready outputs make it suitable for creating short visual sequences and reusable assets.
Pros
- AI morphing produces smooth in-between frames for face transitions
- Likeness-focused controls help maintain identity across morph sequences
- Export-ready outputs support quick use in creative pipelines
Cons
- Best results depend on high-quality source face images
- Complex edits like multi-person morphs need extra workarounds
- Fine-grained manual landmark editing is limited for precision control
Best For
Creators needing fast AI face morphs with consistent likeness control
Fotor AI Avatar Generator
AI face effectsAI-powered face generation and face transformation workflows that support blended and stylized face outputs for morph-like results.
AI face morph avatar generation from uploaded photos
Fotor AI Avatar Generator stands out for producing face morph style avatars directly from AI image transformations. It supports morphing options that reshape facial features while preserving a recognizable face structure. The workflow includes quick generation, style adjustments, and export-ready results suitable for profile images. It also works well for creating consistent avatar variations from a single input face.
Pros
- Rapid avatar generation with AI-driven facial morphing
- Simple controls for reshaping features and refining results
- Exports polished avatar images for profile and sharing
- Produces multiple variations from a single face input
Cons
- Face identity preservation can degrade with aggressive morph settings
- Less precise control than dedicated face-editing tools
- Background and lighting changes may require manual cleanup
- Limited consistency tools for batch-matching multiple avatars
Best For
Creators needing fast AI face morph avatars for social profiles and campaigns
MyHeritage Deep nostalgia
photo AIImage-based AI face restoration features that include face transformation workflows useful for generating morph-adjacent outputs.
Deep Nostalgia Face Animator turns uploaded photos into AI-driven morph motion clips
MyHeritage Deep Nostalgia stands out for generating face morph animations from still photos instead of requiring video footage. The core workflow uploads a portrait and produces a short, moving face result using its built-in AI. Results can be tuned for better alignment and expression continuity, which helps when faces are angled or partially obscured. The output is tailored for sharing as a lifelike animation across social and personal memory uses.
Pros
- Creates short face-morph animations from a single portrait photo
- Improves facial motion realism with AI alignment and expression synthesis
- Supports quick generation workflow for consistent results across images
- Easy sharing of completed animations in typical social formats
Cons
- Best performance depends on clear, frontal face images
- Artifacts can appear around eyes, hairlines, and strong side profiles
- Limited control over specific facial motions and intensity
- Motion output cannot be edited like a full video tool
Best For
Personal photo archivists turning portraits into shareable face animations
DeepFaceLab
open-source toolkitOpen-source face reenactment tooling that can be used to generate face morph sequences from aligned face inputs.
Manual dataset curation plus configurable training and masking for high-control morph results
DeepFaceLab stands out as an open-source face morph and deepfake training toolkit built around manual control of datasets and training workflows. It supports face swapping and morphing pipelines using pretrained-style model training with configurable architectures and resolution settings. Users can align faces, manage masks, and refine results through iterative training runs and exportable outputs. The project focuses on desktop GPU workflows and tightly integrated tooling rather than turnkey one-click morph creation.
Pros
- Supports face morph and swap workflows with iterative training control
- Includes face alignment and mask tools for targeted blending
- Offers configurable training settings for quality and speed tradeoffs
- Produces exported videos and images suitable for downstream editing
Cons
- Requires strong technical setup and consistent dataset preparation
- Quality depends heavily on alignment accuracy and mask coverage
- GPU compute needs can be substantial for higher resolutions
- Workflow complexity slows users seeking simple morph results
Best For
Technical creators building custom face morphs with dataset-driven control
Kapwing
online editorBrowser-based video and image editing that supports face transformation effects and frame workflows for creating morph sequences.
Face morph generator that interpolates between two detected faces for smooth transitions
Kapwing stands out for face-centric editing inside a browser workflow that also supports video and image outputs. The face morph experience relies on face detection and alignment, then generates intermediate frames between two faces for a smooth transition. Kapwing also layers in standard post-editing tools like background handling and timing control so morph results can be integrated into shareable clips. Exports cover common formats for social platforms, making it practical for quick morph iterations.
Pros
- Browser-based face morph generation without local software installation
- Face detection and alignment improves stability across the morph transition
- Video-capable output helps turn morphs into shareable short clips
Cons
- Morph quality depends heavily on input face angle and lighting
- Limited control for advanced morph keyframes and motion details
- Best results require consistent face framing across both images
Best For
Creators needing quick, browser-based face morphs for short social videos
Canva
design editorAI-assisted image editing features that enable face retouching and transformation operations for manual morph frame creation.
Photo Animator provides animated portrait effects using face-aware transformations.
Canva stands out by combining face morph style edits with a full graphic design editor and ready-made templates. Users can create morph-like effects by using apps such as Photo Animator and by layering face elements with masks and blends. The workflow supports background removal, face-focused retouching tools, and export for social posts and video formats. Canva’s strength is turning face transformation ideas into polished visuals without requiring specialized morphing software.
Pros
- Template-driven creation speeds up face morph style social graphics
- Layering tools enable face swapping with precise positioning
- Background remover helps keep attention on transformed faces
- Export options support images and short video outputs
- Simple editor reduces setup time for morph experiments
Cons
- Dedicated morph controls like frame interpolation are limited
- Fine-grained control over face mesh deformation is not available
- Realistic morph continuity can look less seamless than specialized tools
- Advanced face landmark editing is not a core workflow
Best For
Creators needing quick, template-ready face transformation visuals
Adobe Photoshop
pro editorLayer-based morphing and face warping workflows using Liquify and transform tools to build interpolated face transitions.
Timeline keyframes with layer masks for manual, controllable morph animation
Adobe Photoshop stands out for high-control face morph work using layered editing, selection tools, and frame-by-frame animation. Morphing is built through manual workflows like aligning landmarks, blending with layer masks, and generating in-between frames with keyframed timelines. It also supports retouching to clean artifacts after morph transitions, including healing, cloning, and color matching. Photoshop can deliver polished results, but it does not provide a dedicated face-morph generator that outputs ready morphs from only two photos.
Pros
- Layer masks enable precise blending between two face images
- Timeline and keyframes support multi-step morph animations
- Liquify and warp tools help refine facial geometry
- Healing and clone tools clean artifacts after transitions
Cons
- No dedicated two-photo face morph button for automated results
- Landmark alignment requires manual setup and careful iteration
- Consistent realism depends on the editor’s retouching skill
Best For
Editors needing high-control face morph visuals and cleanup workflows
DaVinci Resolve
video compositorProfessional video compositing with motion tracking and fusion-based warping used to create interpolated face morph shots.
Optical Flow interpolation for smoother in-between frames during morph transitions
DaVinci Resolve stands out for facial morph work because it combines advanced video editing with dedicated face refinement tools. It supports frame interpolation for smoother transitions between keyframes, which helps morph shots look more continuous. The software also provides robust color grading and visual effects integration, so morph sequences can be finished in one timeline. For Face Morph workflows, it pairs motion-consistent editing with high-quality output controls.
Pros
- Face-aware compositing workflow inside a single editing timeline
- Optical flow frame interpolation smooths morph transitions between keyframes
- High-fidelity color grading to match skin tones across morph stages
- Fusion-based effects support for custom face morph compositing
Cons
- Not a dedicated face-morph authoring tool for end-to-end identity blending
- Setup and node-based FX workflow requires higher post-production familiarity
- Morph accuracy depends heavily on source alignment and tracking quality
- Real-time preview of complex morph composites can be limited
Best For
Editors needing morph-ready timelines with color and effects finishing in one app
Blender
3D morph3D modeling and mesh deformation tools that support custom face morph targets and frame interpolation for morph animations.
Shape Keys for blendshape-based face morph targets and expression animation
Blender stands out for being a full 3D creation suite that includes sculpting tools and mesh modeling workflows for face morphing. It supports shape keys for morph targets, enabling precise control over facial expressions and blendshape animation. Sculpt mode workflows make it practical to reshape faces directly on high-density meshes and then convert those edits into reusable morph targets. Blender can also render and export morph-driven facial animation for downstream pipelines.
Pros
- Shape Keys enable controllable face blendshape morph targets
- Sculpt Mode supports detailed facial reshaping on dense meshes
- Animation workflows drive morph targets with keyframes
- Retopology tools help prepare clean face meshes for morphs
- Python scripting automates repeatable morph and rig tasks
Cons
- Face morph editing can be complex for simple workflows
- Shape key management becomes cumbersome in large blendshape sets
- Real-time facial playback depends on correct driver and rig setup
Best For
Creators and studios building facial morphs with sculpt-and-shape-key workflows
Reface
AI face videoAI face replacement and transformation features that produce video face effects which can be adapted into morph-like transitions.
Automatic face tracking that preserves alignment during face swap video morphs
Reface specializes in face morphing and deepfake-style transformations that map a person’s face onto video or images. The workflow centers on selecting a target clip and swapping or animating faces to create motion-aligned results. It also supports style variations for different looks, which helps adapt outputs for social and creative uses. Reface delivers fast iteration through guided creation steps and consistent face-tracking across short edits.
Pros
- Strong face swapping with stable tracking across short video segments
- Quick guided creation workflow for morphing from face source to target
- Style and output variations for different creative looks
- Works well for social-ready portrait and action-style transformations
Cons
- Results can degrade with heavy occlusion or extreme angles
- Long-form edits require careful selection to maintain tracking quality
- Morph realism can vary when source and target identities differ greatly
- Limited control over specific morph parameters beyond preset choices
Best For
Creators making short face morph videos for social content
How to Choose the Right Face Morph Software
This buyer’s guide explains how to select face morph software for workflows that range from instant AI morph frames to dataset-driven training and professional compositing in tools like MorphX AI, MyHeritage Deep nostalgia, and DaVinci Resolve. It maps concrete capabilities and limitations across the top tools including Fotor AI Avatar Generator, DeepFaceLab, Kapwing, Canva, Adobe Photoshop, Blender, and Reface. The guidance focuses on output type, control level, and how each tool handles identity consistency across morph transitions.
What Is Face Morph Software?
Face morph software generates intermediate face imagery or video frames by blending a source face into a target face using alignment, transformation, and frame interpolation logic. The software solves common problems like smooth in-between transitions, identity drift during blending, and getting usable outputs for social posts or editing timelines. Tools like MorphX AI focus on AI-driven interpolated morph frames between two faces with likeness preservation controls. Tools like DaVinci Resolve focus on morph-ready timelines with optical flow frame interpolation and finishing tools for color and effects.
Key Features to Look For
The right feature set determines whether outputs look smooth and shareable or whether extra manual cleanup is required for believable results.
Likeness preservation controls across morph sequences
Likeness preservation keeps identity recognizable as the morph progresses, which matters when blending produces identity drift. MorphX AI provides likeness-focused controls for maintaining identity during AI face morph sequences.
AI morph frame interpolation from uploaded face photos
Frame interpolation creates intermediate frames that make the transition feel continuous rather than like a cut between endpoints. MorphX AI and Kapwing both generate smooth transitions by interpolating between detected or uploaded faces.
AI face animation output from a single portrait
Single-image workflows reduce the need for carefully matched source and target shots when the goal is a short moving result. MyHeritage Deep nostalgia turns an uploaded portrait into AI-driven morph motion clips with alignment and expression synthesis for lifelike motion.
Targeted control using masks, alignment tools, and training workflows
Masking and dataset or alignment control matter for higher-fidelity blending and for advanced morph design beyond presets. DeepFaceLab supports face alignment, mask coverage, and configurable training settings so morph quality follows dataset and mask decisions.
Timeline keyframes plus layer-masked blending for manual morph construction
Manual keyframed control enables frame-by-frame morph planning and cleanup when realism depends on retouching. Adobe Photoshop uses timeline keyframes with layer masks for controllable morph animations and includes healing, cloning, and color matching for artifact cleanup.
Optical flow interpolation and professional finishing in a single video timeline
Optical flow interpolation reduces jitter between keyframes and supports smoother morph motion in video edits. DaVinci Resolve provides optical flow frame interpolation plus Fusion-based effects and strong color grading so morph shots can be finished without leaving the timeline.
How to Choose the Right Face Morph Software
Choosing the right tool starts with the intended output format and the required level of identity control.
Match the output type to the tool’s native workflow
Choose MorphX AI when the goal is AI face morphing that outputs interpolated morph frames from uploaded photos with likeness-focused controls. Choose MyHeritage Deep nostalgia when the goal is a short morph-adjacent animation created from a single portrait photo instead of two-photo interpolation.
Decide how much control is required after morph generation
Choose Adobe Photoshop when morph realism depends on manual cleanup using healing, clone, and color matching and when timeline keyframes are needed for stepwise blending. Choose DaVinci Resolve when morph delivery requires video-timeline finishing that includes optical flow interpolation and Fusion-based warping.
Select a control strategy based on identity risk and input quality
Choose MorphX AI when identity drift is a priority because likeness preservation controls are designed for consistent progression across morph frames. Choose Fotor AI Avatar Generator for fast avatar-style morph outputs but expect identity preservation to degrade when morph settings are aggressive, especially when background and lighting differ.
Pick a browser or desktop workflow based on iteration speed needs
Choose Kapwing when browser-based morph generation is needed for quick iterations that still output short video clips for social sharing. Choose Blender when the workflow requires sculpt-and-shape-key morph targets for expression-driven face animation and reusable rigs rather than one-click morph generation.
Use advanced systems when presets are not enough and dataset work is acceptable
Choose DeepFaceLab when high-control morph results are the priority and dataset curation plus masking decisions are acceptable because quality depends on alignment accuracy and mask coverage. Choose Reface when the delivery target is short face morph videos that rely on automatic face tracking to keep alignment stable across short segments.
Who Needs Face Morph Software?
Face morph software benefits specific user groups based on whether the goal is social-ready generation, high-control editing, or custom dataset-driven morph pipelines.
Creators who need fast AI face morph frames with consistent likeness
MorphX AI fits because it focuses on AI-driven interpolated morph frames and includes likeness preservation controls for maintaining identity across morph sequences. Reface also fits creators who need short social morph videos because it emphasizes automatic face tracking for stable alignment during face swap morphs.
Social creators who want rapid avatar-style face transformations from one input
Fotor AI Avatar Generator fits because it generates morph-style avatars from uploaded photos and produces multiple variations from a single face input. Canva also fits social creators by using Photo Animator for animated portrait effects with face-aware transformations inside a broader design editor.
Personal photo archivists turning still portraits into shareable motion clips
MyHeritage Deep nostalgia fits because Deep Nostalgia Face Animator turns uploaded photos into AI-driven morph motion clips. Output quality depends on clear frontal face images and expression continuity, which matters for best results and reduces artifacts around eyes, hairlines, and side profiles.
Editors and studios building morph shots that require finishing, grading, and effects
DaVinci Resolve fits editors who need morph-ready timelines because optical flow interpolation and Fusion-based effects support smoother in-between frames plus high-fidelity color grading. Adobe Photoshop fits editors who need high-control morph visuals plus artifact cleanup through healing, cloning, and precise layer mask blending.
Common Mistakes to Avoid
Most failed results come from mismatched expectations about what each tool can control and from input conditions that reduce alignment quality.
Expecting automated two-photo morph quality when the tool needs heavier manual cleanup
Adobe Photoshop can generate controllable morph animation using timeline keyframes and layer masks, but realism depends on careful retouching skill and artifact cleanup. DaVinci Resolve can smooth in-between frames with optical flow interpolation, but morph accuracy still depends heavily on source alignment and tracking quality.
Using aggressive morph settings without considering identity preservation limits
Fotor AI Avatar Generator can lose recognizable face identity when morph settings are aggressive, especially when lighting or background changes differ between inputs. MorphX AI provides likeness preservation controls, so identity drift is more controllable when morphing progress must stay consistent.
Assuming a single portrait workflow will work equally well for every angle and occlusion
MyHeritage Deep nostalgia performs best when uploaded portraits are clear and often frontal, and artifacts can appear around eyes, hairlines, and strong side profiles. Reface can degrade with heavy occlusion or extreme angles, so source clips must keep the face trackable for stable alignment.
Choosing a dataset-training tool when the workflow needs turnkey interpolation and fast iteration
DeepFaceLab requires strong technical setup, consistent dataset preparation, and GPU compute for higher resolutions, which slows users who want simple morph generation. Kapwing provides browser-based face morph interpolation between detected faces for quicker short social clip output when advanced training is not part of the workflow.
How We Selected and Ranked These Tools
We evaluated every face morph tool on three sub-dimensions: features with weight 0.4, ease of use with weight 0.3, and value with weight 0.3. The overall score is the weighted average using overall = 0.40 × features + 0.30 × ease of use + 0.30 × value. MorphX AI separated itself by combining high ease-of-use for fast AI morph frame creation with likeness preservation controls, which directly supports creators who need consistent identity across morph sequences. Lower-ranked tools generally offered either less dedicated likeness control like Fotor AI Avatar Generator or more manual complexity like DeepFaceLab and Blender where setup and control systems are more demanding than turnkey interpolation.
Frequently Asked Questions About Face Morph Software
Which tool outputs the smoothest morph sequence from only two faces without heavy manual cleanup?
Kapwing generates intermediate frames between two detected faces inside a browser workflow, which reduces manual alignment work. MorphX AI focuses on face morph sequences with likeness preservation controls so identity stays consistent across blended intermediate frames.
What’s the fastest way to create a face-morph-style avatar for profile images?
Fotor AI Avatar Generator produces morph-style avatar results directly from uploaded photos and provides style adjustments for quick variations. Canva’s Photo Animator also creates animated portrait effects using face-aware transformations for profile-ready outputs.
Which option is best for turning still portraits into shareable face animation without requiring video input?
MyHeritage Deep nostalgia generates short face animations from still portraits instead of requiring footage. Canva can also create animated portrait effects via Photo Animator, but MyHeritage is specialized for portrait-to-motion outputs.
Which tool is most suitable for technical creators who want full control over datasets and training workflows?
DeepFaceLab targets desktop GPU workflows with manual dataset curation, configurable training architectures, and masking controls. Blender provides sculpt-and-shape-key workflows for shape-target control, but it is a general 3D creation suite rather than a dedicated face-swap training pipeline.
Which workflow makes it easiest to preserve identity across a morph timeline?
MorphX AI includes likeness preservation controls designed for consistent identity during morph progression. Reface preserves alignment for face swap video morphs through automatic face tracking, which helps maintain consistent facial positioning across motion.
When morphing needs to look continuous in video edits, which editor handles it best end-to-end?
DaVinci Resolve supports optical flow interpolation to smooth in-between frames during morph transitions while finishing color and effects in the same timeline. Adobe Photoshop can animate morph transitions using timeline keyframes and layer masks, but it is not a full video finishing pipeline.
Which tool is best for guided face swap style variations for short social videos?
Reface is built around selecting a target clip and producing motion-aligned face swaps with style variations. Kapwing can create quick morph clips from two faces, but Reface is purpose-built for face-mapped video transformations with tracking.
Which tool helps resolve common morph artifacts like misalignment, jitter, or drifting facial features?
Kapwing relies on face detection and alignment to interpolate between two faces, which reduces misalignment for quick iterations. DeepFaceLab addresses artifacts by letting users align faces, manage masks, and refine results through iterative training runs.
What’s the best starting workflow for someone who wants sculptable, reusable facial morph targets?
Blender supports shape keys for morph targets and blendshape-based facial animation, so sculpted edits can be reused across animations. Adobe Photoshop offers high-control manual morphing through landmark alignment, layer masks, and keyframed timelines, but it does not produce reusable blendshape targets.
Conclusion
After evaluating 10 technology digital media, MorphX AI stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Referenced in the comparison table and product reviews above.
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