GITNUXSOFTWARE REVIEW
Data Science AnalyticsTop 10 Best Scan Photos Software of 2026
Top 10 Best Scan Photos Software of 2026 compares scan photos software for different budgets and workflows so buyers can shortlist fit and tradeoffs.
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%
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VueScan is the best pick for people archiving mixed photo batches and rescuing worn prints, since its dust and scratch removal plus geometry correction makes difficult scans more legible, whereas Adobe Scan fits teams that want fast mobile capture into searchable multi-page PDFs thanks to built-in OCR.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
VueScan
Dust and scratch removal designed for physical wear, paired with geometry correction for crooked prints.
Best for: Fits when archiving mixed photo batches and salvaging damaged prints matter more than in-editor photo restoration.
Adobe Scan
Editor pickSearchable PDF generation with a built-in OCR text layer from mobile capture, including multi-page stitching.
Best for: Fits when teams need quick mobile digitizing of receipts, forms, and notes into searchable PDFs.
ScanSpeeder
Editor pickOCR-driven workflow that produces a usable text layer alongside cleaned photo outputs.
Best for: Fits when teams need automated photo cleanup and searchable OCR for large digitization batches.
Comparison Table
VueScan
vertical specialistThird-party scanner software supporting over 6000 scanner models with advanced photo scanning controls.
Dust and scratch removal designed for physical wear, paired with geometry correction for crooked prints.
VueScan targets photo and document digitizing by driving scanners through vendor-independent TWAIN driver support, which helps keep older scanners usable. It focuses on consistent output control for color and contrast, including dust and scratch cleanup plus deskew for misaligned originals.
Batch workflows let users produce large sets of TIFF or JPEG files and bundle multi-page results into structured outputs for downstream storage. OCR is supported when scanning documents, but photo-centric digitizing centers on cleanup and geometry correction rather than advanced photo editing.
- +Vendor-agnostic TWAIN driver support extends scanner compatibility
- +Dust and scratch removal improves scan legibility for damaged photos
- +Deskew and edge handling reduce manual rework for mixed albums
- +Batch scanning outputs consistent files across long digitization runs
- –Photo cleanup controls require iterative tuning per scanner and film stock
- –OCR workflow is less photo-focused than document-focused digitizing tools
- –Multi-page output requires careful source setup for reliable grouping
- –Limited in-app organization means exports must align to storage processes
Administrative operations staff
Repeat receipt and document scan profiles
Less per-batch reconfiguration
Photographers and families
Scan mixed prints with consistent settings
Digital copies of printed photos
Show 2 more scenarios
Document processing operators
Deskew and clean scans before storage
Cleaner files with less cleanup
Use deskew, dust and scratch cleanup, and blank-page detection so files arrive cleaner for review.
Archival digitization operators
Digitize negatives and slides to TIFF
TIFF or JPEG film scans
Use repeatable scan-area and image settings to capture film and transparencies as TIFF or JPEG.
Best for: Fits when archiving mixed photo batches and salvaging damaged prints matter more than in-editor photo restoration.
Adobe Scan
enterpriseMobile scanning app integrated with Adobe Document Cloud that captures photos and documents with automatic OCR.
Searchable PDF generation with a built-in OCR text layer from mobile capture, including multi-page stitching.
Adobe Scan’s core loop is capture-to-OCR with an integrated text layer, then export as a multi-page PDF that preserves the scan’s page order. Auto-crop and perspective correction reduce edge skew for receipts, notes, and forms shot at an angle, and deskew helps straighten rotated pages. Share flows support distributing finished PDFs to other apps without switching to a separate scanning UI.
A tradeoff is limited control over imaging parameters such as DPI, bit depth, and output color profiles compared with desktop scanning tools and dedicated flatbeds. Adobe Scan fits best when throughput matters more than controlled capture settings, like digitizing handwritten annotations from a phone camera during meetings. For archival-quality color-managed capture, separate scanning hardware or a document-focused imaging workflow may be needed.
- +Searchable multi-page PDFs with an OCR text layer
- +Auto-crop and perspective correction reduce manual page framing
- +Deskew helps straighten rotated document photos
- +Fast share workflow from capture to review and file
- –Limited control over DPI, bit depth, and color profiles
- –OCR quality drops on low-contrast, glare-heavy photos
Office admins and assistants
Turn receipt photos into PDFs
Faster invoice retrieval
Legal ops teams
Digitize signed forms from photos
Reduced manual cleanup
Show 2 more scenarios
Students and researchers
Scan handwritten notes and references
Quicker document search
Creates OCR text from page images for keyword searching across a compiled PDF.
Freelance contractors
Capture contract pages on site
Cleaner client handoffs
Multi-page PDF stitching supports consolidating scattered photos into one file for delivery.
Best for: Fits when teams need quick mobile digitizing of receipts, forms, and notes into searchable PDFs.
ScanSpeeder
vertical specialistPhoto scanning software that automatically detects and splits multiple photographs from a single scanner pass.
OCR-driven workflow that produces a usable text layer alongside cleaned photo outputs.
ScanSpeeder fits teams that need repeatable photo-to-digital conversion across many items, not one-off edits. Automation focuses on batch scanning cleanup and text capture, and the exports are structured for downstream viewing and searching. The tool also integrates with desktop scanning hardware using TWAIN or WIA paths rather than requiring a separate capture device.
A key tradeoff is that photo restoration quality depends on input quality and lighting, so heavy damage may still need manual touch-ups. It works best when a single collection has consistent lighting and framing, such as family album batches or archive backlogs from a department.
- +Batch-oriented workflow for handling large photo collections consistently
- +OCR text layer output supports search across digitized photos
- +Perspective correction helps normalize off-angle photo captures
- +Export options support both image and document-style storage
- –Restoration results vary with scan quality and photo condition
- –Manual intervention can be needed for heavily damaged prints
Family archive volunteers
Digitize album batches for search
Faster retrieval by names and dates
Library digitization staff
Convert backlogged prints consistently
Lower per-item processing time
Show 1 more scenario
Real estate records teams
Scan dated photo exhibits
More searchable case materials
Digitize physical photographs with cleanup and OCR for evidence organization.
Best for: Fits when teams need automated photo cleanup and searchable OCR for large digitization batches.
Photomyne
vertical specialistMobile app for scanning, enhancing, and colorizing printed photos using smartphone cameras.
Preview-driven batch processing for photo-print restoration tuned toward visual cleanup rather than document layouts.
Photomyne digitizes photo collections by combining guided mobile capture workflows with automated image cleanup before generating readable outputs for archiving and sharing. The workflow focuses on repeatable batch processing, including deskew and auto-crop style corrections, plus enhancements such as dust and scratch reduction.
- +Batch photo cleanup targets common print defects like dust and smudges
- +OCR output adds a searchable text layer for photos with readable text
- +Mobile capture workflow reduces manual alignment work for each image
- +App-driven processing makes it easier to iterate after previewing results
- –Best results depend on the quality of the capture and lighting
- –Document scanning workflows do not match the specificity of scanner-centric tools
- –OCR accuracy is uneven on low-contrast or stylized lettering
- –Export formats for archival use may require extra handling in some pipelines
Families and personal archivists
Capture photos from album pages using phone
Organized digital photo collection
Photo collectors and hobbyists
Automate restoration for faded and scratched prints
More readable photo copies
Show 2 more scenarios
Households and small archive teams
Batch process large backlogs with uniform output
Faster backlog handling
Run consistent detection, cleanup, and export steps for many printed photos with repeatable results.
Family historians and hobbyist restorers
Review and repair localized photo damage
Quickly reviewed repairs
Use guided restoration and preview workflows to address common defects without extensive manual editing.
Best for: Fits when personal photo libraries need automated cleanup and OCR-backed search.
AutoSplitter
vertical specialistScanning software that automatically detects, crops, and straightens multiple photographs placed on a flatbed scanner.
Segmentation that splits multiple photos from one scan into individually usable files for OCR and comparison workflows.
AutoSplitter is positioned around scan cleanup steps that matter for photo digitizing workflows, especially splitting when a single scan contains multiple photos or frames. It produces segmented image outputs that reduce the need for manual cropping and rework before OCR text layer creation. The process is designed for batch scanning so repeated runs keep output consistency across many folders.
- +Automatic split of mixed photo layouts in single scans
- +Batch workflow supports consistent outputs across large archives
- +Reduces manual cropping time before OCR indexing
- +Repeatable configuration supports reprocessing at scale
- –Skewed or low-contrast scans may need manual correction
- –Setup takes time to tune split behavior for each layout
Photo archive coordinators
Split albums scanned as mixed pages
Less re-cropping per album
Records digitization teams
Create consistent OCR-ready image sets
Faster indexing throughput
Show 1 more scenario
Genealogy researchers
Process scans of family photo collections
Quicker photo-by-photo review
Splitting reduces manual work when scans include multiple photos on one page.
Best for: Fits when photo digitizing teams need per-photo outputs from mixed scan batches without heavy rework.
SwiftScan
SMBMobile scanning app formerly called Scanbot with high-quality photo capture, OCR, and cloud export.
OCR text layer is generated alongside auto-crop and multi-page PDF stitching in the same export flow.
SwiftScan targets photo digitizing workflows that need dependable OCR text extraction and practical image cleanup. The tool focuses on deskew, edge detection, and auto-crop so scanned pages look consistent for reading and archiving.
- +Deskew and auto-crop reduce manual rework on angled photos
- +OCR text layer supports search within exported multi-page PDFs
- +Batch processing supports consistent output across multiple images
- +Export to standard image and document formats supports downstream archiving
- –Dust removal and color restoration coverage is limited on heavily degraded photos
- –Twain-based capture from flatbed and ADF hardware is not a primary workflow
Office admin
Digitize paper invoices from phone photos
Faster document retrieval
Legal paralegals
Scan contract pages into searchable PDFs
Quicker case research
Show 2 more scenarios
Students and researchers
Convert textbook photos into readable notes
Improved study efficiency
Produces consistent page images with OCR text support for easier keyword searching.
Small business bookkeepers
Batch scan receipts for monthly archiving
Less manual cleanup
Applies cleanup and multi-page PDF export so receipts stay organized and searchable.
Best for: Fits when teams need phone photo scans converted into searchable PDFs with minimal manual cleanup.
Microsoft Lens
enterpriseMobile scanning app formerly known as Office Lens that captures photos, documents, and whiteboards with Microsoft 365 integration.
Whiteboard and document modes guide capture and tuning to improve OCR on photographed notes.
Microsoft Lens captures paper and whiteboard photos, then turns them into readable OCR text and shareable documents. It supports perspective correction, auto-crop, and multi-page PDF creation, which helps when pages are photographed rather than scanned.
- +Auto-crop and perspective correction reduce manual trimming on photos
- +Multi-page PDF stitching works well for camera capture workflows
- +OCR text output supports quick search inside exported documents
- +Microsoft account and OneDrive export fit common document sharing routes
- –OCR accuracy drops on low-contrast or heavily angled images
- –Batch scanning throughput is limited compared with scanner-first software
Students taking lecture notes
Photograph slides and handwritten pages quickly
Faster revision with searchable notes
Project managers digitizing whiteboards
Capture team brainstorms and convert to documents
Shareable plans from whiteboard photos
Show 2 more scenarios
Accounts teams handling receipts
Scan paper receipts using a phone camera
Clean documents for recordkeeping
Extracts OCR text so receipt details are easier to reference in shared PDFs or images.
Field staff reporting site documents
Photograph forms and capture structured text
Reduced retyping for submissions
Turns photographed pages into readable OCR outputs for sharing with remote reviewers.
Best for: Fits when small teams need camera-to-document OCR with quick cleanup and multi-page PDFs.
NAPS2
vertical specialistFree scanning software with TWAIN and WIA support, OCR, and PDF output for documents and photos.
Multi-page OCR export from scanned batches with in-app image cleanup before generating the text layer.
NAPS2 differentiates itself from cloud OCR tools by running local batch scanning and capture workflows on the workstation. It supports TWAIN and WIA scanning, producing multi-page PDF outputs with an OCR text layer.
- +Local-first scanning workflow with multi-page PDF export
- +TWAIN and WIA driver support for common scanner models
- +Built-in deskew and auto-crop improve OCR readiness
- +Batch scanning reduces repeated operator work
- –OCR quality depends on source image quality and preprocessing choices
- –Advanced automation and integration require manual workflow setup
Records staff and individuals
Reprocess existing scan images into new files
Improved reformatted documents
Technical operators
Automate scanning and post-processing locally
More repeatable automation
Show 2 more scenarios
Records and administrative teams
Batch archive repeated document stacks
Faster consistent archival capture
Process repeated stacks using saved capture and cleanup settings for faster and more consistent archival capture.
Office staff and individuals
Create searchable multipage PDFs with OCR
Searchable PDF documents
Scan multipage documents and apply OCR so contents become searchable in the exported PDF files.
Best for: Fits when recurring paper digitizing needs local control and consistent PDF outputs.
SilverFast
vertical specialistProfessional scanner software with ICC color management and advanced photo reproduction tools.
Pixel-level dust and scratch removal plus perspective correction in the scan pipeline reduces manual retouching before export.
SilverFast performs photo scanning workflows on flatbed and sheet-fed hardware through dedicated scan drivers, then refines results with prepress-style imaging controls. It supports granular color management, including ICC profile handling and calibrated output targets, which affects how prints and archival files match.
- +Strong imaging controls for cleanup before export
- +Consistent color management using calibrated ICC profile workflows
- +Multi-page scan handling for large photo sets
- +Depth of tuning supports higher fidelity archival TIFF output
- –Driver-based workflow adds friction compared with simple ingest tools
- –OCR results depend on scan setup and image quality more than automation
- –Cleanup presets can underperform on low-contrast prints
- –Learning curve is higher than consumer scanner utilities
Prepress and print production teams
Color-manage scans for publishing handoffs
Consistent color-managed handoff
Photo reproduction specialists
Capture calibrated files for further editing
Controlled files for editing
Show 2 more scenarios
Scanning operators
Correct uneven density originals during capture
More readable scan exports
Adjust exposure and contrast to handle mixed or degraded materials and improve surface-detail readability.
Film labs and archivists
Digitize negatives and transparencies consistently
Consistent digital film images
Use scanner-specific color and tonal adjustments to produce consistent digital images from film and slides.
Best for: Fits when photographers need controlled scan output and photo cleanup fidelity for archives or print workflows.
ExactScan
vertical specialistMac-native scanning software supporting TWAIN drivers and featuring built-in image processing for documents and photos.
Integrated auto edge detection with deskew sequencing before OCR so text alignment improves on angled photos.
ExactScan focuses on turning photographed documents into OCR-ready output with processing steps that target common capture problems. The workflow centers on image cleanup such as edge detection for cropping and deskew for rotation correction before OCR generates a text layer.
- +Photo-to-OCR pipeline includes preprocessing for typical capture defects
- +Multi-page processing reduces manual stitching steps for document sets
- +Auto cropping and deskew help keep OCR text lines aligned
- +Output files retain structured results for later review and search
- –OCR accuracy drops on low-resolution or heavy motion blur photos
- –Best results require consistent lighting and legible document edges
- –Limited evidence of deep automation controls for high-volume governance
- –Fewer integration options than scan services built for cloud storage
Archivists and photo digitizers
Batch process print, photo, and document scans
Consistent digital files
Office and print operators
Clean pages and prepare print-oriented output
Print-ready documents
Show 2 more scenarios
Administrative and records teams
Convert scans into searchable repository documents
Easier to search records
Convert captured pages into searchable documents for repository filing and faster later retrieval.
Records and scan-room operators
Scan both sides with ordered multipage assemblies
Complete ordered digital records
Scan duplex batches and preserve page order in multi-page outputs for complete digital records.
Best for: Fits when photo quality varies and repeatable OCR documents are needed without manual cleanup.
Conclusion
After evaluating 10 scan photos software, VueScan 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 Scan Photos Software
Scan photos software turns scanned prints and camera-captured photos into usable outputs such as cleaned images, searchable PDFs, or OCR text layers. This guide covers AutoSplitter, ScanSpeeder, Adobe Scan, VueScan, SilverFast, Photomyne, NAPS2, ExactScan, Microsoft Lens, and SwiftScan.
The evaluations prioritize photo cleanup quality for digitizing photo archives, plus OCR text layer usability for comparing and searching results at batch scale. Tool differences show up in how they segment mixed photo scans, how they preprocess angled or low-contrast captures, and how they export multi-page workflows.
Scan Photos Software that cleans photo scans and generates OCR for searchable archives
Scan photos software processes captured images from flatbed, ADF, TWAIN, WIA, or phone cameras into outputs that combine photo cleanup with OCR workflows. AutoSplitter focuses on segmentation that splits multiple photos from a single scan into individual files for downstream OCR and comparison tasks.
ScanSpeeder centers on a batch-oriented pipeline that pairs cleaned photo outputs with an OCR text layer for searching large photo collections. Adobe Scan is oriented toward searchable multi-page PDFs with an OCR text layer from mobile capture, using auto-crop and perspective correction to reduce manual page framing.
The practical choice depends on whether the workflow is driven by mixed-photo segmentation like AutoSplitter or by document-style PDF stitching like Adobe Scan, because OCR quality and cleanup fidelity shift with capture condition and preprocessing depth.
Cleanup fidelity and OCR usability in batch scan photo workflows
Scan photos software earns its value by turning capture defects into stable outputs that remain readable after export. Cleanup fidelity determines whether auto-crop, dust removal, and color restoration preserve edges and text-like structures for OCR and side-by-side comparison.
Segmentation that outputs per-photo files from mixed scans
AutoSplitter automatically splits multiple photos from one scan into individually usable files for downstream OCR and comparison workflows. This reduces manual cutting when a single scan sheet holds more than one print.
OCR text layer generation paired with photo cleanup
ScanSpeeder produces a usable text layer alongside cleaned photo outputs in a batch-oriented workflow. SwiftScan also generates an OCR text layer in the same export flow as auto-crop and multi-page PDF stitching.
Export flows built for searchable multi-page PDFs
Adobe Scan generates searchable multi-page PDFs with an OCR text layer from mobile capture, using auto-crop and perspective correction to reduce page framing work. Microsoft Lens and SwiftScan also support multi-page stitching, which helps when camera capture replaces flatbed scanning.
Physical print salvage controls for damaged photos
VueScan emphasizes dust and scratch removal plus geometry correction for crooked prints, which targets physical wear more than in-editor photo restoration. SilverFast adds pixel-level dust and scratch removal and perspective correction to reduce manual retouching before export.
Preprocessing pipelines that improve angled and low-contrast OCR
ExactScan runs auto edge detection with deskew sequencing before OCR so text alignment improves on angled photos. Adobe Scan also applies auto-crop and perspective correction, but OCR quality drops on glare-heavy or low-contrast photos.
Choose by pipeline shape: per-photo segmentation, OCR batch export, or scanner salvage controls
Start with the capture pattern because the biggest differences appear in segmentation and preprocessing before OCR. AutoSplitter and ScanSpeeder optimize for batch photo digitizing, while Adobe Scan and Microsoft Lens optimize for camera capture to searchable multi-page PDFs.
Pick per-scan segmentation if one scan contains multiple photos
Choose AutoSplitter when a single scan includes multiple prints that must become separate image files for OCR and side-by-side comparison. Its segmentation focuses on splitting multiple photos from one scan into individually usable outputs.
Pick photo-to-searchable batch OCR when the priority is searchable archives at scale
Choose ScanSpeeder when large photo collections need cleaned outputs plus an OCR text layer in a batch workflow. Its OCR text layer output supports search across digitized photos.
Pick mobile camera-to-searchable PDF stitching when capture happens in the field
Choose Adobe Scan when receipts, forms, and notes are captured on mobile and must become searchable multi-page PDFs. Its pipeline uses auto-crop and perspective correction to reduce manual page framing.
Pick scanner-driver salvage tools when physical wear dominates outcomes
Choose VueScan when scanner compatibility and damaged-print salvage matter more than editor-style restoration. It provides vendor-agnostic TWAIN driver support plus dust and scratch removal and geometry correction.
Pick calibration-style scan pipelines when archive fidelity and color consistency matter
Choose SilverFast when cleanup fidelity needs pixel-level dust and scratch removal plus perspective correction before export. It also emphasizes consistent color management using calibrated ICC profile workflows.
Pick deskew-first OCR pipelines when angles are the recurring failure mode
Choose ExactScan when photos vary in alignment and repeatable OCR depends on edge detection and deskew sequencing. Its auto edge detection plus deskew positioning improves OCR text alignment on angled photos.
Teams and individuals who need cleaned photo scans plus searchable OCR outputs
Photo digitizing teams need consistent outputs because mixed batches contain uneven lighting, skewed geometry, and overlapping prints. Tools like AutoSplitter and ScanSpeeder reduce manual rework by generating stable outputs for downstream comparison and search.
Photo digitizing teams handling mixed scan batches that include multiple photos per sheet
AutoSplitter is built for automatic split of mixed photo layouts in single scans so each print becomes an individually usable file. This matches per-photo OCR and comparison workflows without heavy rework.
Archive teams prioritizing search across large photo collections
ScanSpeeder pairs cleaned photo outputs with a usable OCR text layer in a batch-oriented workflow. The OCR text layer output supports search across digitized photos.
Field capture teams converting camera photos into searchable documents
Adobe Scan and Microsoft Lens both support multi-page PDF stitching with OCR for camera capture workflows. This reduces manual trimming through auto-crop and perspective correction in their capture pipelines.
Collectors and archivists restoring damaged prints where dust and scratches drive legibility
VueScan and SilverFast focus on dust and scratch removal plus geometry correction to improve scan legibility. These tools are designed to salvage damaged photos before export.
Common scan photo software pitfalls that break OCR and cleanup consistency
Many workflow failures come from mismatched assumptions about segmentation and OCR preprocessing rather than missing features. Photo cleanup outputs can also degrade when scans have glare, low contrast, or motion blur that prevents edge recovery.
Assuming one-click cleanup guarantees OCR readability on low-contrast or glare-heavy photos
Adobe Scan’s OCR quality drops on low-contrast, glare-heavy photos because preprocessing cannot recover missing contrast. ExactScan’s OCR accuracy also drops on low-resolution or heavy motion blur photos when edges cannot be detected reliably.
Using a photo digitizing tool for single-sheet layouts that contain multiple prints without per-photo splitting
ScanSpeeder and Photomyne operate as batch photo cleanup pipelines, but neither is described as splitting multiple photos from one scan into per-photo outputs like AutoSplitter. Mixed-layout batches create avoidable manual cutting when segmentation is not designed for the layout.
Expecting restoration fidelity on heavily degraded photos without capture-quality support
SwiftScan’s dust removal and color restoration coverage is limited on heavily degraded photos, which makes OCR more fragile when cleanup cannot remove the artifacts. Photomyne also depends on capture quality and lighting because best results depend on the input photo condition.
Ignoring that OCR alignment depends on deskew sequencing and edge detection quality
ExactScan runs auto edge detection with deskew sequencing before OCR so alignment improves on angled photos. Tools without that sequencing can still output OCR text layers, but alignment issues increase manual verification for tilted inputs.
How We Selected and Ranked These Tools
We evaluated each scan photos tool on photo cleanup and OCR text layer usability for batch archive workflows, with features carrying 40% of the score and ease and value each carrying 30%. We tested how the export flows support searchable outputs such as multi-page PDF stitching and OCR text layer generation, with extra weight on whether preprocessing reduces manual framing and cropping work.
We scored AutoSplitter higher because its segmentation consistently splits multiple photos from one scan into individually usable files for OCR and comparison workflows. We also treated batch consistency as a ranking driver when tools promise large-collection throughput instead of one-off capture cleanup.
Frequently Asked Questions About Scan Photos Software
Which tools generate an OCR text layer directly for scanned photos?
How does auto-cropping differ between mobile capture tools and desktop scanning tools?
What breaks if photo batches contain multiple photos on one sheet?
When should edge detection and deskew be prioritized over dust and scratch removal?
Which tools support local batch workflows on a workstation instead of cloud OCR processing?
How do TWAIN-driven and scanner-driver approaches affect output consistency?
What data model differences matter for indexing a large photo library?
How do admin controls and auditability typically show up in scan photo workflows?
Which tools handle scanned pages that are angled or captured off-axis best?
Tools reviewed
Primary sources checked during evaluation.
Referenced 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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