GITNUXSOFTWARE ADVICE
Data Science AnalyticsTop 10 Best Scanning Documents Software of 2026
Compare options in a roundup of scanning documents software, covering features and tradeoffs for choosing tools that fit real workflows.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
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Framework: Features 40% · Ease 30% · Value 30%
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Adobe Acrobat is the best pick for teams that want a PDF-first scanning workflow because built-in deskew and page cleanup help OCR stay readable without hopping tools, whereas Nanonets fits automation teams since it generates searchable PDFs tied to extracted invoice and receipt fields for quick QA loops.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Adobe Acrobat
Deskew and related page cleanup options improve OCR results within the same scanned-PDF workflow.
Best for: Fits when teams need searchable PDF creation and cleanup inside a PDF-first document review workflow.
Nanonets
Editor pickSearchable PDF generation with extracted fields for faster OCR validation loops.
Best for: Fits when teams automate invoice and receipt extraction from mixed multipage scans.
NAPS2
Editor pickNAPS2 keeps an all-desktop capture flow with preprocessing and searchable PDF output in one pass.
Best for: Fits when local teams need repeatable scan-to-searchable-PDF output without server workflows.
Comparison Table
Adobe Acrobat
enterprisePDF creation, editing, and document scanning suite with integrated OCR.
Deskew and related page cleanup options improve OCR results within the same scanned-PDF workflow.
Adobe Acrobat is a document capture and scanning workflow tool focused on turning paper and image-based files into usable PDFs. It provides optical character recognition for searchable PDFs and supports extracting text from scanned pages without leaving the PDF-centric workflow.
Acrobat also supports document cleanup steps like deskew and contrast adjustments to improve OCR readability. Its scanning experience is strongest when documents are destined for PDF sharing, review, and long-term storage formats.
- +Searchable PDF output from scanned pages with integrated OCR workflow
- +Built-in image cleanup like deskew to improve OCR legibility
- +Strong PDF handling for review, markup, and document distribution
- +Multipage scanning outputs remain compatible with PDF tooling
- –OCR and extraction quality depends heavily on scan quality
- –Batch capture automation and document ingestion are weaker than dedicated capture platforms
- –Automation customization relies more on manual steps than configurable pipelines
- –Advanced extraction workflows require extra effort outside core OCR
Records and compliance teams
Searchable PDF creation from scanned records
Faster records lookup
Document reviewers
Prepare scanned files for annotation workflows
More readable review copies
Show 1 more scenario
Small business administrators
Digitize recurring paper batches for filing
Repeatable digital copies
Transforms paper and image-based documents into consistent PDF outputs suitable for local storage and access.
Best for: Fits when teams need searchable PDF creation and cleanup inside a PDF-first document review workflow.
Nanonets
API-firstAI-based document processing tool for automated data extraction.
Searchable PDF generation with extracted fields for faster OCR validation loops.
Nanonets supports document classification and extraction for multipage scans, then returns field-level results suitable for downstream indexing and record creation. The system also produces searchable PDF outputs, which helps teams validate OCR quality during review and auditing. Configuration favors repeatable patterns like invoices and remittance documents over fully bespoke extraction logic for every page.
A tradeoff is that deep, per-document custom parsing can require heavier workflow configuration than code-centric OCR stacks. Nanonets fits best when document templates share structure across a line of business and when extraction reliability matters more than custom computer-vision branching.
- +Configurable field extraction for invoice and receipt layouts
- +Searchable PDF output for rapid human QA
- +Document classification plus multipage extraction handling
- +Batch-oriented ingestion for high-throughput capture
- –Template drift can reduce accuracy without workflow updates
- –Complex page-level branching needs configuration discipline
Accounts payable teams
Invoice capture into ERP records
Lower manual keying volume
Back-office operations
Receipt metadata capture for reconciliation
Faster exception handling
Show 1 more scenario
Document operations teams
Batch processing of multipage statements
More consistent intake throughput
Classifies document type and extracts consistent fields across page batches.
Best for: Fits when teams automate invoice and receipt extraction from mixed multipage scans.
NAPS2
SMBFree desktop document scanning application with OCR and PDF output.
NAPS2 keeps an all-desktop capture flow with preprocessing and searchable PDF output in one pass.
NAPS2 fits teams that need repeatable batch scanning on a workstation without building an OCR service pipeline. It handles capture from common scanner driver paths and keeps documents organized as multipage files with consistent preprocessing. Searchable PDF generation is built in, which reduces the need for separate OCR utilities for basic scan-to-PDF workflows.
A tradeoff is limited enterprise governance compared with OCR platforms that provide centralized administration and API-based job orchestration. NAPS2 is a strong fit when documents originate on a local scanner and the goal is dependable capture formatting and OCR inside a desktop workflow.
- +Local batch capture produces consistent multipage PDFs and TIFFs
- +Scanner capture via TWAIN and WIA reduces driver friction
- +Built-in searchable PDF generation avoids separate OCR tooling
- +Image preprocessing options help clean up scans for readability
- –No centralized job automation or API surface for capture orchestration
- –Advanced form processing and key extraction workflows are not the focus
- –Large-scale capture governance needs external process controls
- –Automation is largely desktop driven instead of server-driven
Small back-office teams
Batch scan invoices to searchable PDFs
Faster document lookup
Office administrators
Scan mixed documents into consistent PDFs
Fewer unreadable pages
Show 2 more scenarios
Records coordinators
Archive scanned contracts as multipage files
Consistent archive sets
Local output control supports repeatable file generation and organized scan batches.
IT teams supporting scanning
Deploy scanning to PCs with varied drivers
Reduced scanner setup time
TWAIN and WIA capture paths fit many scanners without custom driver bridges.
Best for: Fits when local teams need repeatable scan-to-searchable-PDF output without server workflows.
VueScan
specialistScanner driver software supporting thousands of scanner models across operating systems.
Built-in TWAIN and WIA driver tuning for consistent scan output across hard-to-support scanner models.
VueScan from hamrick.com is a document scanning tool centered on driver-level control for cameras and scanners, with an emphasis on handling device models through its own TWAIN and WIA integration. It supports batch capture to multipage outputs like searchable PDF and image-only PDF, with image processing controls such as deskew and blank page detection.
- +Driver-centric configuration helps scanners that struggle with generic stacks
- +Searchable PDF output supports OCR for document archiving workflows
- +Batch capture supports multipage scanning with common image cleanup controls
- +TWAIN and WIA paths cover many scanner models without extra intermediaries
- –Document classification and advanced key extraction automation stay limited
- –Integration depth for enterprise storage systems depends on external tooling
- –Workflows rely on per-scanner configuration discipline to stay consistent
- –No native admin governance layer for multi-user environments
Records staff and administrators
Archive recurring documents as PDFs
Repeatable archive copies
Office teams and reviewers
Generate searchable document PDFs
Searchable digital documents
Show 2 more scenarios
Photographers and archivists
Digitize negatives and slide originals
Consistent film captures
Applies stored scan-area and image settings to capture film into TIFF or JPEG outputs.
Administrative operations staff
Run recurring multi-page scans
Less per-batch setup
Saves scan profiles for repeated receipt and document batches with consistent multipage capture settings.
Best for: Fits when local document scanning needs dependable device control and searchable PDFs without enterprise capture orchestration.
CamScanner
SMBMobile document scanning app with cloud sync and collaboration features.
Inline page cleanup with deskew and edge enhancement to improve scan readability before OCR.
CamScanner captures documents with a mobile camera workflow and turns them into searchable PDFs and image exports. It includes OCR-driven text output plus page cleanup tools such as deskew and edge enhancement for more legible scans.
- +Mobile capture workflow converts camera photos into document PDFs quickly
- +OCR output supports searchable PDFs for document-level retrieval
- +On-image cleanup tools improve readability for skewed or uneven pages
- +Batch capture supports multipage documents without manual page management
- –Desktop and server-side automation options are limited compared with enterprise capture stacks
- –Advanced metadata extraction and document classification controls are not granular enough for strict workflows
Small businesses and mobile pros
Scan and send documents via mobile fax
Digitize and send
Administrative teams and field staff
Digitize signed forms in one session
Consolidated digital packets
Show 2 more scenarios
Field teams and remote staff
Share readable notes without desktop scanning
Readable copies reach coworkers
Cleans up captured pages and exports them for quick distribution to colleagues.
Small offices and individual professionals
Create OCR searchable PDFs for filing
Search within documents
Uses OCR to convert captured pages into searchable document files for routine retrieval.
Best for: Fits when small teams need fast OCR and readable scans for routine document sharing.
Scan2CAD
vertical specialistSoftware for converting scanned drawings into editable CAD files.
Drawing vectorization with pre-export linework cleanup for scanned technical plans.
Scan2CAD converts technical drawings into CAD-ready vector formats from scanned images and provides tools for clean-up before export. It is built around linework detection, vectorization, and layer-style output geared toward engineering and architectural plans rather than general-purpose OCR.
- +Vectorizes scanned drawings into CAD-style geometry for plan reuse
- +Provides drawing-specific cleaning controls before export
- +Exports formats that preserve line structure for downstream editing
- +Supports repeat conversion settings for batch-style processing
- –Not designed as a document OCR and metadata extraction engine
- –Linework quality drops when scans have heavy noise or blur
- –Automation and integration options are limited for enterprise capture stacks
- –Workflow fit depends on consistent technical drawing scan characteristics
Engineering and manufacturing teams
Convert scanned plans into editable vectors
More usable geometry
Engineering ops and documentation teams
Batch-convert similar drawing revisions
Consistent vector results
Show 2 more scenarios
Architectural and reprographics teams
Trace floor plans into structured linework
Editable plan linework
Traces floor plans and blueprints into structured vector geometry for redesign and documentation.
Graphic designers and illustrators
Recreate logos and symbols as vectors
Reusable vector artwork
Converts scanned logos and icons into editable SVG or CAD-compatible vector outputs.
Best for: Fits when scanned technical drawings need CAD-ready vectors more than document search or key extraction.
SimpleIndex
SMBDesktop document scanning software designed for high-speed batch processing.
Capture workflow configuration links OCR results to predefined index fields for structured search and routing.
SimpleIndex performs document scanning capture and indexing that turns scanned files into searchable, structured records. It supports ingesting scanned images and running OCR to extract text for later lookup, then storing results alongside document metadata.
- +Batch-oriented indexing workflow keeps repeated capture runs consistent
- +OCR output is tied to captured document records for fast retrieval
- +Metadata fields support structured document lookup beyond plain text
- +Extensible capture configuration supports department-specific rules
- –Native OCR accuracy tuning can require iterative setup per form type
- –Advanced capture device integration depends on supported scanner drivers
Scanning service teams
Process high-volume ADF batches
Higher batch throughput
Mailroom and intake teams
Organize mixed documents from one scan run
Documents routed separately
Show 2 more scenarios
Office operations and capture teams
Index printer-origin scan pipelines
Repeatable metadata outputs
Runs OCR on pages coming from device-based scan workflows and produces searchable indexed outputs.
Back-office operations teams
File documents using barcode separation
Automated filing
Uses barcodes to split batches, populate metadata, and route files to defined storage locations.
Best for: Fits when teams need batch document capture plus indexed OCR fields for document retrieval and downstream filing.
Ephesoft Transact
enterpriseEnterprise document capture software using machine learning for automated classification.
Configurable capture workflows that combine recognition steps with rule-based validation and guided exception handling.
Ephesoft Transact uses a workflow configuration approach to move documents from capture through recognition, validation, and export with repeatable consistency. It integrates capture-time controls such as document separation handling and page-level quality steps like deskew and blank page detection, then converts results into structured fields for downstream systems. It also supports targeted extraction for forms and handoff rules for exceptions, which is useful when invoices or remittance documents include variable layouts.
- +Workflow configuration supports repeatable extraction with validation checkpoints
- +Batch processing fits high document volumes with controlled exception handling
- +Searchable output and metadata extraction supports downstream indexing
- +Document separation and page quality steps reduce noise before recognition
- –Model and rule maintenance is required when templates drift
- –Deep configuration can increase onboarding time for capture-only teams
Accounts payable teams
Invoice capture with field validation
Lower manual invoice keying
AP operations managers
Batch reprocessing after rule updates
Fewer output mismatches
Show 2 more scenarios
Document processing analysts
Forms extraction across variants
Higher extraction acceptance
Uses workflow configuration to map fields, apply checks, and handle layout deviations.
Enterprise content teams
Searchable document archive outputs
Faster document lookup
Exports structured results plus searchable documents for indexing and retrieval workflows.
Best for: Fits when mid-size AP teams need configurable extraction workflows with validation and exception routing.
FileCenter
SMBDocument management and scanning software for organizing digital files.
Capture workflows that combine scanner input with metadata indexing for searchable documents and extracted fields.
FileCenter focuses on document capture and document management with OCR geared toward producing searchable documents and extracted fields. The workflow supports batch capture from scanners and stores scanned outputs with metadata for later retrieval.
- +Batch capture supports high-volume scanning workflows for multipage documents
- +Metadata-driven indexing improves search and retrieval after OCR
- +Pre-OCR image cleanup like deskew and despeckle targets OCR-ready images
- +Configurable capture workflows reduce manual keying for recurring document types
- –OCR and extraction quality can depend on consistent scan settings and page alignment
- –Advanced automation requires careful configuration of field mapping and routing
Small offices and admins
Convert paper batches into searchable records
Easier record retrieval
High-volume scanning operators
Standardize batch intake indexing
More consistent indexing
Show 2 more scenarios
Individuals and home-office users
Organize receipts and notes with folders
Cleaner personal filing
Uses cabinet-style folders, previews, search, and batch renaming to maintain a consistent filing structure.
Records and administrative teams
Archive with metadata and searchable content
Find archived records fast
Indexes documents into a managed repository using searchable OCR content and metadata for later location.
Best for: Fits when a team needs reliable OCR and field extraction tied to metadata-driven document capture workflows.
Rossum
enterpriseCloud-based document processing platform specializing in invoice capture.
Training-focused capture models that target specific document types and improve field extraction accuracy over repeated runs.
Rossum concentrates on high-accuracy document OCR plus extraction that can be trained for semi-structured forms, invoices, and business correspondence. It pairs image handling with field-level metadata extraction and document classification so downstream systems receive typed outputs instead of raw text.
- +Field extraction outputs map directly into typed JSON for downstream use
- +Document classification improves routing accuracy for mixed document sets
- +API supports automated ingestion, polling, and retrieval of extraction results
- +Training loops help improve results for specific templates over time
- –Works best with consistent inputs and may need retraining when formats drift
- –Complex workflows can require careful pipeline configuration and governance discipline
Document operations teams
Digitize batches with structured extraction
Less manual transcription
Clinics and healthcare document teams
Index mixed medical intake packets
Structured data for indexing
Show 2 more scenarios
Expense and operations teams
Process receipts into workflow-ready fields
Searchable receipt data
Captures structured information from receipt images so transactional details become searchable and usable.
Procurement and operations teams
Extract fields from purchase orders
More consistent PO intake
Processes purchase orders from different senders and extracts fields for consistent intake and routing.
Best for: Fits when teams need automated invoice and forms extraction with API-driven workflow orchestration.
Conclusion
After evaluating 10 scanning documents software, Adobe Acrobat 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 Scanning Documents Software
Scanning documents software covers OCR output, multipage capture workflows, and metadata or key extraction that turns image-only PDFs and TIFF files into searchable records. This guide covers Nanonets, NAPS2, Ephesoft Transact, Adobe Acrobat, CamScanner, VueScan, FileCenter, Rossum, SimpleIndex, and Scan2CAD based on their document cleanup, extraction, and automation behaviors.
The evaluation focus is practical accuracy loops, field mapping consistency, and the degree of capture orchestration that fits into an existing ingestion pipeline. The tools span local desktop capture with driver tuning in NAPS2 and VueScan, guided validation and exception handling in Ephesoft Transact, and extraction structured for downstream systems in Nanonets and Rossum.
Scanning Documents Software for OCR, key extraction, and searchable document capture
Scanning documents software takes scanned pages from flatbeds or feeders and produces searchable outputs like searchable PDFs with OCR text plus extracted fields for indexing and routing. Some platforms emphasize document cleanup before OCR, including Adobe Acrobat deskew options and CamScanner edge enhancement that improves legibility before text recognition.
OCR is only one part of the capture loop. Nanonets generates searchable PDFs with extracted fields designed to speed OCR validation iterations, while FileCenter ties OCR and extracted fields to metadata-driven indexing for retrieval after multipage batch capture.
Capture automation, OCR cleanup, and structured field output
Scanning documents software succeeds when it turns raw multipage scans into text-quality outputs and structured fields that downstream systems can trust. The strongest tools connect cleanup, OCR output, and repeatable capture workflows instead of shipping OCR as a one-off step.
This guide focuses on four practical capabilities: cleanup that improves legibility before recognition, batch capture repeatability, workflow configuration for validation and exception handling, and field extraction outputs that map cleanly into indexing and automation.
Searchable PDF generation paired with extracted fields
Nanonets creates searchable PDFs and attaches extracted fields designed for faster OCR validation loops. Rossum also outputs structured extraction results mapped to typed JSON for downstream automation.
Workflow configuration with validation checkpoints and exception routing
Ephesoft Transact supports configurable capture workflows that combine recognition steps with rule-based validation and guided exception handling. This makes it better suited to AP operations that need controlled routing instead of best-effort extraction.
Local capture repeatability with driver coverage and one-pass output
NAPS2 keeps an all-desktop capture flow while producing consistent multipage PDFs and TIFFs. VueScan adds TWAIN and WIA driver tuning for consistent scan output across hard-to-support scanner models.
Image cleanup inside the capture workflow to improve OCR legibility
Adobe Acrobat includes deskew and related page cleanup options inside its scanned-PDF workflow. CamScanner adds inline page cleanup with deskew and edge enhancement before OCR.
Metadata-driven indexing tied to batch capture records
FileCenter combines scanner input with metadata indexing so searchable documents and extracted fields remain tied to metadata-driven retrieval. SimpleIndex links OCR output to predefined index fields for structured search and routing.
Non-document scanning output that targets technical drawings
Scan2CAD is designed for vectorization of scanned technical drawings into CAD-ready geometry. It is not built as a document OCR and metadata extraction engine.
Choose based on where extraction logic runs and how capture orchestration is handled
The decision hinges on the capture loop ownership model. Some tools keep capture local with driver tuning and offline output, while others place workflow configuration in an extraction engine that expects structured inputs and maintained templates.
Next, selection depends on whether extracted fields exist to speed human QA or to directly drive API-driven downstream filing. The tools also differ in how much configuration discipline is required when scan formats drift or when branching logic is needed.
Match the extraction loop to the quality control workflow
If human QA needs to validate OCR quickly, prioritize Nanonets because searchable PDF generation includes extracted fields designed to shorten validation cycles. If QA depends on page cleanup before recognition, prioritize Adobe Acrobat or CamScanner because both improve OCR legibility using deskew and cleanup steps inside the scanned workflow.
Select the orchestration model for batch capture and routing
If routing and exception handling are required at scale, choose Ephesoft Transact because it supports configurable capture workflows with rule-based validation and guided exception handling. If local teams must produce consistent multipage PDFs and TIFFs without a server orchestration layer, choose NAPS2 or VueScan based on driver coverage.
Plan for input drift and template maintenance cost
For invoice and receipt automation where inputs change over time, evaluate Nanonets and Ephesoft Transact with attention to how template drift affects accuracy. For training-focused capture models, evaluate Rossum because repeated runs improve field extraction accuracy but consistent inputs still matter.
Map output to where records live after capture
If searchable retrieval depends on metadata indexing that stays tied to capture records, evaluate FileCenter because indexing is metadata-driven. If routing depends on predefined index fields created at capture time, evaluate SimpleIndex because OCR results link directly to configured index fields.
Confirm the tool is built for document capture, not drawing conversion
If the workload is technical plans that must become CAD-ready vectors, choose Scan2CAD because it targets linework cleanup and vectorization. If the workload is invoices, forms, and document search, avoid Scan2CAD because it is not designed as an OCR and extraction engine.
Who scanning document software fits best
Scanning documents software fits teams that convert flatbeds or feeders into searchable outputs and extracted fields that reduce manual entry and speed retrieval. The fit varies by whether capture stays local or runs as a configured extraction workflow that supports validation and exceptions.
It also varies by whether the main goal is document search readability or automated downstream filing with structured JSON outputs and stable field mapping.
AP teams that need configurable extraction with validation and exception routing
Ephesoft Transact supports configurable capture workflows with validation checkpoints and guided exception handling, which matches the needs of mid-size AP operations at high volume.
Operations that want local scan-to-searchable-output without server workflows
NAPS2 keeps capture on the desktop while producing consistent multipage PDFs and TIFFs, and VueScan adds TWAIN and WIA driver tuning for difficult scanners.
Teams that want extracted fields to drive automation outputs and structured downstream records
Rossum provides field extraction outputs as typed JSON for downstream use, and Nanonets attaches extracted fields to searchable PDFs to accelerate OCR validation loops.
Organizations that require metadata indexing tied to OCR results for retrieval
FileCenter ties batch capture to metadata-driven indexing, and SimpleIndex links OCR output to predefined index fields for structured search and filing.
Engineering teams that scan technical drawings for CAD reuse
Scan2CAD focuses on vectorization and drawing-specific cleanup controls, which is the opposite of document OCR and metadata extraction focus.
Common pitfalls when buying Scanning Documents Software
Buying mistakes usually happen when capture expectations are mismatched to the product’s control surface. Cleanup strength, driver coverage, and extraction workflow governance are the places where outcomes diverge.
Another recurring pitfall is assuming OCR accuracy stays stable as templates and scan formats drift. Tools that rely on maintained workflows or training still require operational discipline once real inputs change.
Assuming OCR extraction quality will be stable without scan quality controls
Adobe Acrobat’s extraction quality depends heavily on scan quality, so poor page alignment or low contrast will directly degrade results. CamScanner can improve readability with deskew and edge enhancement, but it still cannot compensate for extremely noisy scans.
Buying a capture-first tool and expecting enterprise orchestration and automation
NAPS2 does not provide centralized job automation or an API surface for capture orchestration, so it will not replace a workflow engine for scheduled intake and routing. VueScan focuses on driver-centric scan output and searchable PDFs, so enterprise ingestion automation depends on external tooling.
Ignoring template drift and ongoing rule maintenance requirements
Ephesoft Transact requires model and rule maintenance when templates drift, which can slow down capture-only teams without governance time. Nanonets also notes that template drift can reduce accuracy without workflow updates, so validation loops must include template review.
Overconfiguring deep branching without planning for governance discipline
Ephesoft Transact’s deep configuration can increase onboarding time for capture-only teams, which affects timeline planning. Nanonets also flags that complex page-level branching needs configuration discipline, which can create avoidable delays.
Using a drawing vectorization tool for document search and key extraction
Scan2CAD is not designed as a document OCR and metadata extraction engine, so it will not deliver reliable searchable document text or extracted fields. It should be reserved for scanned technical plans where CAD-ready vector output is the target.
How We Selected and Ranked These Tools
We evaluated capture-to-output workflows across searchable PDF generation, extracted field usefulness, and the degree of workflow configuration for validation and exceptions. Features accounted for 40% of the score because searchable PDF output with extracted fields matters for fast OCR validation loops in Nanonets and typed JSON outputs in Rossum.
Ease and value each accounted for 30% because local capture repeatability in NAPS2 and driver tuning in VueScan reduce capture friction for desk-based scanning. Nanonets ranked first because its searchable PDF output plus extracted fields is directly designed to shorten human OCR QA cycles while still supporting invoice and receipt extraction use cases.
Frequently Asked Questions About Scanning Documents Software
Which tools support OCR plus extracted fields for invoice and receipt processing?
Which options generate searchable PDFs while keeping capture local to the desktop?
How do rule-based capture workflows differ from script-only extraction in document OCR tools?
When does deskew and page cleanup materially change OCR output in scanning workflows?
What breaks when a workflow needs API-driven automation rather than manual scanning and export?
How do document classification and routing capabilities affect mixed-form or mixed-invoice batches?
Where do integrations and connectors matter most for scanning outputs and indexing?
How should teams think about auditability and governance for scanned capture runs?
What tradeoff occurs if the goal is CAD-ready vectors instead of searchable document OCR fields?
How does device compatibility affect scanning reliability between driver-focused and cloud-intelligence approaches?
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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