GITNUXSOFTWARE ADVICE
Art DesignTop 10 Best Automatic Photo Cropping Software of 2026
Compare automatic photo cropping software options for fast, consistent edits, including Pixelcut and remove.bg, with tradeoffs for photographers and teams.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Pixelcut is the best pick for marketing teams that need repeatable smart crop automation across thumbnails and product listings because subject-aware crop boxes preserve focal framing better than generic center-crop, while remove.bg is the alternative for e-commerce at scale since foreground-background separation produces cleaner, subject-centered crops even on complex silhouettes.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Pixelcut
Subject detection drives crop boxes that preserve focal framing better than uniform center-crop defaults.
Best for: Fits when teams need repeatable smart crop automation for marketing thumbnails and product listings.
remove.bg
Editor pickBackground removal-first processing generates cleaner crop boundaries for complex silhouettes.
Best for: Fits when e-commerce teams need automated subject-centered crops at scale.
Canva
Editor pickTemplate-linked exports keep each photo’s framing aligned to the chosen canvas aspect ratio.
Best for: Fits when marketing teams need automatic recropping inside template-driven design exports.
Comparison Table
Pixelcut
vertical specialistAI photo editor for product and social images with automatic cutout, resize, and crop-oriented templates.
Subject detection drives crop boxes that preserve focal framing better than uniform center-crop defaults.
Pixelcut provides automatic photo cropping built around subject-aware framing and production-friendly export outputs. Its workflow centers on content-aware crop selection, aspect ratio locking, and batch processing for consistent results across large image sets.
The tool handles EXIF orientation so outputs preserve correct display orientation without manual rotation steps. Pixelcut fits teams that need fast, repeatable smart crop outputs for marketing thumbnails, listings, and social assets.
- +Automatic subject-aware cropping reduces manual framing time.
- +Batch processing supports consistent crops across large catalogs.
- +Aspect ratio lock helps maintain layout requirements for assets.
- +EXIF orientation handling reduces rotation cleanup work.
- –Edge detail can be trimmed too aggressively on busy backgrounds.
- –Limited control granularity compared with manual retouch workflows.
Small business marketers
Create consistent thumbnail crops quickly
More usable marketing assets
Ecommerce sellers
Standardize product imagery cutouts
Faster catalog publishing
Show 2 more scenarios
Modeling agencies
Assemble composite comp cards
More consistent composite cards
Combine headshots into repeatable layouts using templates and styling presets.
Content creators
Clean up blurry photos for posting
Clearer share-ready images
Upscale and sharpen low-quality photos while applying automatic crop framing.
Best for: Fits when teams need repeatable smart crop automation for marketing thumbnails and product listings.
remove.bg
API-firstBackground removal tool with automatic subject isolation that supports fast crop-style image preparation.
Background removal-first processing generates cleaner crop boundaries for complex silhouettes.
remove.bg automates subject detection by separating the foreground from the background, which gives the crop engine a clear boundary for trimming. The workflow fits teams that need consistent headroom margin around people and product silhouettes without per-image manual selection. EXIF orientation handling helps prevent rotated crops when source files were captured in different camera orientations. Output images are generated in publishable formats for immediate use in templates and catalogs.
A tradeoff is that remove.bg’s crop framing depends on background separation quality, so low-contrast subjects or busy edges can require follow-up adjustments in a secondary editor. The tool fits use situations where batch processing dominates and output consistency matters more than custom rule-of-thirds composition per shot. It also fits integrations that need API-based cropping as part of an automated asset pipeline rather than a one-off manual task.
- +Cropping is driven by foreground-background separation, improving subject centering
- +API automation supports scripted processing for large asset batches
- +EXIF orientation handling reduces rotation mistakes in output
- +Outputs are publish-ready for web and catalog pipelines
- –Crop quality drops when subject edges are low-contrast
- –Fewer fine-grained composition controls than manual editors
- –Non-destructive editing is not the core workflow approach
- –Automation requires validating outputs in the downstream system
E-commerce merchandising teams
Auto-crop product photos for catalog listings
Fewer manual retouches
Marketing ops teams
Batch crop creator portraits for ads
Faster asset turnaround
Show 2 more scenarios
Developer teams
Integrate API-based cropping into pipelines
Higher throughput automation
Scripted requests process uploads and return cropped outputs for publishing systems.
Brand teams
Standardize crops for website modules
More uniform presentation
Consistent subject-focused trimming helps keep visuals aligned across templates.
Best for: Fits when e-commerce teams need automated subject-centered crops at scale.
Canva
SMBDesign platform with Magic Studio tools that include automatic image cropping and resize workflows.
Template-linked exports keep each photo’s framing aligned to the chosen canvas aspect ratio.
Canva’s crop automation is tied to its design canvas, where aspect ratio lock and layout constraints determine the final framing. The smart crop logic uses subject and edge-aware trimming behaviors during resizing, which helps when posting to different feed sizes or document formats. EXIF orientation handling on import reduces rotated outputs before cropping and export. The data path favors edits that live inside designs rather than an API-first crop pipeline.
A key tradeoff appears when teams need deterministic bounding box outputs or repeatable crop coordinates across systems. Canva is better suited for marketing and social workflows where repeated exports from templates matter more than exporting crop metadata. A common usage situation is converting a photo library into multiple social sizes while keeping the subject centered for each template export.
- +Smart crop runs inside layouts without manual crop measurement
- +Aspect ratio lock maintains consistent output dimensions across exports
- +EXIF orientation is handled on import before cropping
- +Template-driven resizing supports repeatable production work
- –Crop coordinates and metadata export are not first-class for automation
- –Batch throughput is limited by design workflow overhead
- –RAW processing and ICC profile workflows are not depth-matched to pro tools
- –Fine control over headroom margins is less exact than desktop editors
Marketing ops teams
Convert hero photos into social sizes
Faster multi-format publishing
Content producers
Maintain consistent framing in campaigns
Lower editing effort
Show 1 more scenario
Brand teams
Resize library images for landing pages
Fewer rework cycles
EXIF orientation handling prevents rotation errors before final exports.
Best for: Fits when marketing teams need automatic recropping inside template-driven design exports.
Cutout.Pro
API-firstAI visual editing suite with auto cutout, passport photo, and image resizing tools that support automatic cropping use cases.
Subject-aware crop generation that targets the dominant visual area and returns a framed output for fixed aspect ratios.
Cutout.Pro automatically crops photos by detecting the main subject and computing a crop that fits the requested frame without manual box drawing. It supports batch processing so large asset sets can be converted into consistent aspect ratios for thumbnails and listings.
- +Batch cropping for consistent aspect ratios across large libraries
- +Automatic subject framing reduces manual crop adjustments
- +EXIF orientation handling helps avoid rotated or shifted crops
- +Export-focused pipeline fits common web publishing formats
- –Focal-point precision can drop on cluttered backgrounds
- –Complex layout rules beyond crop bounds need separate design work
- –Fine-grained crop constraints like rule-of-thirds tuning are limited
- –Automation depends on successful subject detection per image
Print shop operators
Crop ID photos to frame
Consistently framed submissions
E-commerce marketplace sellers
Batch product cutouts for listings
Catalog-ready product images
Show 2 more scenarios
Retail merchandising teams
Create square black-background variants
Uniform black-background sets
Generate standardized square images with uniform black backgrounds for listings and campaigns.
Photo service providers
Enhance and prep recovered photos
More usable source files
Upscale and clean aging or low-quality photos before using them in new designs.
Best for: Fits when teams need automated, repeatable crops for catalogs, listings, and thumbnails.
Adobe Express
SMBBrowser-based Adobe editor with quick photo cropping, resizing, and social format automation.
Smart, template-driven crop resizing in the same editor used for post layout.
Adobe Express fits editing teams that create many variant sizes from the same source images and need repeatable aspect ratio outputs. Its editor lets users lock target frame rules for social post sizes and then adjust cropping interactively. It also supports batch-style workflows via collections of assets, which is useful when the same subject needs consistent headroom across multiple posts.
- +Smart cropping tools inside a browser editor reduce context switching
- +Template-based resizing supports consistent aspect ratios for marketing formats
- +Quick export paths fit publishing workflows for social and web
- +Interactive crop adjustment helps preserve subject framing on the fly
- –No dedicated API-based cropping surface for programmatic batch automation
- –Advanced RAW and ICC control is limited compared with desktop photo tools
Marketing ops teams
Generate social variants from one photo
Faster multi-format publishing
Creative coordinators
Standardize headroom across team images
More uniform visual outputs
Show 1 more scenario
Content producers
Export web-ready cropped images
Less rework before posting
Publish cropped results in common web formats after quick in-editor adjustments.
Best for: Fits when marketing teams need quick smart crops and consistent format exports without code.
Picsart
SMBCreative editing platform with AI image tools, smart resize, and crop presets for social and marketing assets.
Face detection guided cropping prioritizes facial placement when aspect ratios change.
Picsart focuses on automated cropping and ongoing editing for teams that need consistent framing across large photo sets. The workflow combines smart crop behavior with subject and face awareness to reduce manual rework.
- +Face-aware framing reduces crop churn for portrait-heavy catalogs
- +Batch processing supports high-volume resizing with consistent outputs
- +Export formats cover JPEG, PNG, and WebP for typical web and app delivery
- +Smart crop keeps key content within bounds more often than fixed cropping
- –Automatic crops can drift from strict rule-of-thirds layouts
- –Advanced metadata preservation needs extra attention for print-grade output
Social media creators
Format images for social posts
Faster content turnaround
Content creators
Animate still images for publishing
More dynamic visual posts
Show 2 more scenarios
Portrait photographers
Retouch beauty portraits with face edits
Polished portrait assets
Crop and align face-aware edits for adjustable beautification and skin cleanup.
Community organizations
Create composite collages with graphics
Printable composite layouts
Isolate subjects, layer images, and add recurring graphics for composite card layouts.
Best for: Fits when teams need automatic cropping plus lightweight editing for web and app asset batches.
Cloudinary
enterpriseMedia management platform with AI gravity and automatic cropping transformations for images at scale.
Server-side transformation chaining lets cropping, resizing, and output format conversion run in a single API call.
Cloudinary pairs automatic image cropping with a full image delivery workflow, using server-side transformations that can run at request time or via background processing. Cropping controls include aspect ratio locks, face-aware subject detection, and crop options that target specific gravity points.
- +Transformation API applies smart cropping during rendering with consistent parameters
- +Face detection driven crops reduce manual reframe work for portraits
- +Format conversion and thumbnail generation can be chained with crop transforms
- +EXIF orientation handling prevents rotated crops without separate preprocessing
- –Higher control needs parameter tuning across device aspect ratios
- –Complex subject rules require workflow testing to avoid unexpected focal shifts
- –Metadata and profile retention can vary by transform chain and output format
- –Batch queues depend on correct URL or SDK usage patterns for throughput
Digital asset teams
Centralize ingestion with transformations
Consistent processing and retrieval
Commerce merchandising teams
Serve cropped product images everywhere
Consistent imagery across channels
Show 2 more scenarios
Video publishing teams
Package derivatives from uploads
Streaming-ready derivatives
Upload media from a headless workflow and generate delivered derivatives for publishing pipelines.
Marketing operations teams
Distribute repeatable campaign renditions
Reuse consistent campaign assets
Store campaign media and produce consistent renditions for websites and other channels.
Best for: Fits when editing teams need API-based automatic cropping plus format conversion inside an image delivery pipeline.
Befunky
SMBOnline photo editor with crop presets, batch editing, and template-based image formatting.
Face detection driven crop suggestions for batch sets with aspect ratio lock to keep framing consistent.
Befunky is an automatic photo cropping tool focused on fast batch output for common marketing and thumbnail workflows. It supports smart crop style results with face detection and aspect ratio locks, and it can apply EXIF orientation during import.
- +Batch cropping workflow keeps subject framing consistent across many images
- +Face detection improves headshot crops without manual box placement
- +Aspect ratio lock speeds production for fixed-size placements
- +EXIF orientation handling reduces rotated results in export sets
- –No documented API-first cropping interface for programmatic throughput
- –Automatic framing can need manual corrections on group photos
- –Metadata retention controls are limited for print-color managed pipelines
- –Smart crop behavior is less predictable for unusual compositions
Home photographers
Crop and retouch personal photos
Cleaner personal photos
Event organizers
Build framed event collages
Organized photo collages
Show 2 more scenarios
Freelance photographers
Polish portraits and event images
Polished portraits
Use retouching brushes and portrait adjustments with cropping to reduce small distractions.
Product marketers
Prep product images for online publishing
Cleaner, consistent product shots
Remove or replace backgrounds and resize product images using consistent automatic framing.
Best for: Fits when teams need quick automatic crops for web-ready images without engineering integration work.
Kapwing
SMBOnline content editor with smart resize and image crop tools for social and web publishing.
Batch cropping workflow that keeps subject framing consistent across many images with standardized exports.
Kapwing can automatically crop photos to target aspect ratios while keeping the main subject framed. It supports batch workflows for producing multiple exports with consistent crop framing and output formats like JPEG, PNG, and WebP.
- +Automatic smart crop keeps key subject centered on most photos
- +Batch processing helps generate consistent crops across large folders
- +EXIF orientation handling reduces rotated-image cropping errors
- +Multiple export formats support straightforward publishing pipelines
- –Face-aware framing works best when subjects are prominent and centered
- –High-volume teams may need manual overrides for edge cases
Community organizations
Compose posts on reusable canvases
Lightweight visual assets
Marketing teams
Repurpose long recordings into clips
More short-form clips
Show 2 more scenarios
Educators
Batch captioned training video exports
Captioned training collections
Edit instructional recordings in batches with repeatable export settings and consistent formatting.
Social media teams
Publish branded social video variants
Consistent multi-format uploads
Create captioned, resized, and branded videos for recurring publishing workflows.
Best for: Fits when teams need automated aspect-ratio cropping with occasional manual corrections for edge cases.
AutoCropper
vertical specialistWeb tool focused on automatic photo cropping and bulk document and image border removal.
Bulk crop runs that preserve subject centering reduce manual retargeting across catalog images.
AutoCropper is an automatic photo cropping service designed for turning large sets of images into consistent crops without manual selection. It focuses on subject-first framing and applies crops in bulk, which reduces per-image decision time for publishing pipelines.
- +Batch cropping workflow fits libraries with repeated framing needs
- +Consistent subject-aware results reduce manual crop tuning
- +Export-focused pipeline supports common web delivery formats
- +Quick start supports production use without heavy editing expertise
- –Automation control is limited compared with manual cropping tools
- –Cropping quality can degrade on low-contrast or off-center subjects
- –Fine-grained composition control is less precise than design editors
- –Does not replace full retouching steps like color or background cleanup
E-commerce catalog teams
Bulk crop thumbnails for listings
Lower per-image decision time
Online gallery operators
Standardize crops across collections
More consistent galleries
Show 2 more scenarios
Publishing pipelines
Feed cropped images into downstream pages
Faster publishing workflow
Export web-ready cropped assets so downstream galleries, thumbnails, and listings can publish immediately.
Marketplace listing managers
Generate consistent crops at scale
Consistent listing visuals
Run automated cropping in bulk to maintain subject-first framing across many listing images.
Best for: Fits when catalogs and listings need repeatable auto crops for large batches.
Conclusion
After evaluating 10 automatic photo cropping software, Pixelcut 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.
How to Choose the Right Automatic Photo Cropping Software
Automatic photo cropping software automates crop box placement so each image lands on a target aspect ratio with less manual measurement. The coverage here includes Canva, Adobe Express, remove.bg, Pixelcut, Cutout.Pro, AutoCropper, Cloudinary, Picsart, Kapwing, and Befunky.
The tool set spans template-driven editors and API-based image pipelines for batch processing. Focus stays on how each product generates the crop box and how teams integrate automation into existing workflows.
Automatic Photo Cropping Software for batch smart crops, face-aware framing, and aspect ratio lock
Automatic photo cropping software uses subject detection signals like face detection, foreground-background separation, or saliency-driven bounding boxes to place a crop window for a chosen output size. It then exports consistently framed results as images stay aligned to layout requirements.
Canva and Adobe Express handle cropping inside editor workflows where template-linked exports keep framing aligned to a chosen canvas aspect ratio. Cloudinary targets automation in a server-side transformation pipeline where smart cropping can run during rendering for programmatic batch processing, and remove.bg drives crop decisions from background removal-first subject boundaries.
Crop-box automation quality controls for Automatic Photo Cropping Software
Automatic photo cropping software lives or dies by whether the crop box lands on the intended subject and stays stable across a batch. Canva, Adobe Express, and Kapwing handle this by keeping outputs aligned to chosen canvas or export dimensions so marketing layouts do not need repeated manual measurement.
Template-linked aspect-ratio consistency inside design workflows
Canva and Adobe Express keep crop results aligned to template-driven exports so teams produce consistent dimensions without measuring crop coordinates. Canva’s framing stays aligned to the chosen canvas aspect ratio across layout exports, while Adobe Express focuses on smart template-driven resizing in the editor.
Batch throughput that preserves subject centering across libraries
AutoCropper and Kapwing run bulk crop workflows that keep subject framing consistent across large folders so retargeting effort drops per image. AutoCropper emphasizes subject-aware results for repeated framing needs, while Kapwing standardizes exports with smart crop centering and occasional manual overrides.
Foreground-background driven crops for hard silhouette edges
remove.bg bases crop decisions on foreground-background separation so subject boundaries drive centering and crop boundaries for complex silhouettes. This separation-driven approach improves subject centered outputs, but crop quality can drop when subject edges are low-contrast.
Subject detection that preserves focal framing instead of center-crop defaults
Pixelcut and Cutout.Pro generate crop boxes from subject detection to preserve focal framing across thumbnails and listings. Pixelcut’s subject-aware cropping reduces manual framing time, while Cutout.Pro targets the dominant visual area for fixed aspect ratio outputs.
API-based transformation chaining for crop plus output conversion
Cloudinary chains cropping, resizing, and output format conversion inside a single server-side API call so the crop can run during rendering. This supports programmatic batch processing for teams that need consistent crop parameters during image delivery.
Face detection guided framing for portrait-heavy catalogs
Picsart and Befunky use face detection to prioritize facial placement when aspect ratios change. This reduces crop churn for portrait-heavy libraries, but both tools can drift from strict rule-of-thirds layouts or need manual corrections on group photos.
Choose by workflow fit: editor automation vs API cropping pipelines
Teams using automatic photo cropping software face two different implementation paths. Editor-centered tools generate crops inside template and layout workflows, while pipeline-centered tools provide crop execution during rendering so batch jobs can run without editor context switching.
Match editor integration to the way assets get formatted
If marketing teams already work in canvas or template layouts, Canva and Adobe Express align crops to chosen export dimensions inside the same authoring workflow. This minimizes handoff friction because the crop and aspect ratio requirements can be maintained as the template drives output.
Pick server-side transformation when cropping must happen during rendering
If the workflow is an image delivery pipeline, Cloudinary supports automatic cropping plus resizing and format conversion in one API call. This reduces orchestration work because the crop runs during rendering with consistent parameters.
Choose background separation for silhouettes and e-commerce subject cutouts
For catalog images where the subject boundary is the reliable signal, remove.bg drives crop placement from foreground-background separation. This yields cleaner crop boundaries for complex silhouettes, but low-contrast edges can reduce cropping quality.
Choose subject detection for consistent marketing thumbnails and listings
For mixed scenes where a dominant subject must be preserved, Pixelcut and Cutout.Pro generate crop boxes from subject detection rather than uniform center-crop logic. This improves focal framing stability, but busy backgrounds can lead to edge detail trimming or reduced focal-point precision.
Validate failure modes with off-center and cluttered images
For catalogs with off-center subjects or low-contrast targets, AutoCropper and Kapwing may degrade subject centering and need more manual review of edge cases. Both tools can preserve centering for repeated framing needs, but low-contrast or less prominent subjects reduce crop quality or face-aware reliability.
Decide whether face-first framing should override rule-of-thirds goals
For portrait-heavy content, Picsart and Befunky use face detection to keep facial placement stable across aspect ratio changes. This can conflict with strict composition goals because automatic crops may drift from rule-of-thirds layouts and still require manual corrections on group photos.
Who benefits from Automatic Photo Cropping Software
Automatic photo cropping software benefits teams that produce many images that must share consistent framing across aspect ratios. The fit depends on whether crops happen inside a layout editor or inside an API-based rendering pipeline.
Marketing teams exporting repeatable format variants
Canva and Adobe Express reduce crop churn by keeping framing aligned to template-driven export dimensions. This works best when the team’s main job is producing consistent marketing formats from the same layout system.
E-commerce catalog teams with subject-centered product imagery
remove.bg and Cutout.Pro generate crop decisions from foreground-background separation or dominant visual area so subject centering stays consistent. This matches catalogs where product boundaries and focal framing drive acceptance.
Development and image pipeline teams needing programmatic automation
Cloudinary supports server-side transformation chaining so cropping and format conversion run during rendering through a single API call. This fits workflows that need automation for throughput and consistent crop parameters.
Large-content teams generating thumbnails and listings at scale
Pixelcut and AutoCropper focus on subject detection or subject-aware batch runs that reduce manual framing time. This suits libraries where the same category of image repeats and consistent crop outputs matter more than fine-grained composition controls.
Portrait-heavy content teams that prioritize facial placement
Picsart and Befunky use face detection to keep facial placement stable when aspect ratios change. This benefits headshot-centric catalogs, but it requires extra attention for group photos and rule-of-thirds composition checks.
Common pitfalls when deploying Automatic Photo Cropping Software
Teams often assume crop stability equals subject detection success. In practice, crop placement can shift when the chosen signal is weak for a given asset type like low-contrast edges or cluttered backgrounds.
Selecting an editor tool without an automation surface for batch processing
Adobe Express and Canva can keep framing consistent inside editors, but Canva does not provide first-class automation controls for exporting crop coordinates and metadata. Adobe Express also lacks a dedicated API-based cropping surface for programmatic batch automation.
Assuming background separation will work on low-contrast edges
remove.bg crop quality drops when subject edges are low-contrast, which can cause centering and boundary issues. Image sets with faint edges should be tested on representative batches before relying on separation-driven cropping.
Expecting perfect rule-of-thirds composition when face detection overrides layout goals
Picsart and Befunky can drift away from strict rule-of-thirds layouts because the crop logic prioritizes facial placement. Teams should review portrait and group photo batches where composition rules matter beyond subject centering.
Using a subject-aware cropper without checking edge trimming on busy backgrounds
Pixelcut can trim edge detail too aggressively on busy backgrounds because the subject-aware crop boxes optimize around the detected subject. Sample batches with complex textures should be used to confirm that headroom and edge inclusion meet internal standards.
Skipping workflow testing for server-side parameter tuning across aspect ratios
Cloudinary requires parameter tuning across device aspect ratios, and complex subject rules can cause unexpected focal shifts. Crop parameters should be validated across the exact aspect ratios used in the image delivery pipeline.
How We Selected and Ranked These Tools
We evaluated automatic photo cropping tools across batch crop consistency and workflow fit. Features coverage counted 40% of the score, and ease and value each counted 30% of the score.
Canva earned the top position because template-linked exports keep each photo’s framing aligned to the chosen canvas aspect ratio, which supports consistent outputs inside design workflows. Cloudinary ranked lower than Canva because parameter tuning and workflow testing are required to prevent focal shifts when aspect ratios and subject rules vary.
Frequently Asked Questions About Automatic Photo Cropping Software
How does face detection change the crop output across Picsart and Befunky?
Which tool is more suitable for API-based automatic cropping workflows: Cloudinary or remove.bg?
When does EXIF orientation handling matter most for Kapwing and Canva exports?
What breaks if a workflow requires crop coordinates instead of template-linked framing: Canva versus Cloudinary?
How does background removal-first processing affect crop boundaries in remove.bg compared with Pixelcut?
When should Adobe Express be chosen over Pixelcut for marketing teams working in-browser?
Which tool supports the fastest batch processing for large catalog sets: AutoCropper or Cutout.Pro?
How do manual corrections surface when automatic cropping misses important composition: Kapwing versus Adobe Express?
Where does focus-based framing fall short for automated crops: Canva versus Befunky?
Tools reviewed
Primary sources checked during evaluation.
cloudinary.comReferenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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