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Digital Transformation In IndustryTop 10 Best Digitization Software of 2026
Top 10 digitization software for document capture and OCR, ranked with tradeoffs for teams evaluating ABBYY FineReader PDF, Kofax, OpenText.
How we ranked these tools
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Framework: Features 40% · Ease 30% · Value 30%
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ABBYY FineReader PDF is the safest pick for teams digitizing scanned batches into searchable PDFs with controlled layout quality, and if you need automation driven by extraction via API-first integration into your document repositories, Nanonets fits better.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
ABBYY FineReader PDF
Layout analysis drives reading-order text reconstruction for forms and multi-column pages.
Best for: Fits when teams convert scanned batches into searchable PDFs with controlled layout quality.
Kofax Power PDF
Editor pickMetadata tagging with export rules ties document properties to batch-produced PDFs.
Best for: Fits when teams need repeatable scanned-to-PDF preparation and tagging before repository ingestion.
OpenText Intelligent Capture
Editor pickRules and workflow configuration coordinate extraction, validation, and routing inside OpenText intake flows.
Best for: Fits when enterprises need configurable capture workflows with controlled indexing and enterprise repository integration.
Comparison Table
ABBYY FineReader PDF
enterpriseOCR and document digitization software for converting scans, images, and PDFs into searchable and editable files.
Layout analysis drives reading-order text reconstruction for forms and multi-column pages.
ABBYY FineReader PDF targets digitization pipelines where scanned documents must become searchable PDFs with consistent layout and indexing fields. Batch mode supports multi-page workloads and repeatable settings, which helps when intake volume is steady. The preprocessing stack includes deskew and despeckle style cleanup controls that reduce OCR errors on uneven scans.
A practical tradeoff appears in integration depth versus document automation platforms, since FineReader PDF centers on desktop and document conversion workflows rather than deep orchestration across capture devices. It fits situations where a team needs reliable conversion of existing scan exports into searchable PDFs for human review and downstream repository ingestion.
- +Layout-aware OCR preserves reading order on forms and tables.
- +Configurable image cleanup reduces errors from noisy scans.
- +Batch conversion produces consistent searchable PDFs across folders.
- +Export options support downstream review and repository workflows.
- –Automation and API surface are limited compared with capture-and-orchestrate stacks.
- –Best results depend on careful preprocessing configuration per document type.
Records and compliance teams
Turn scanned policies into searchable PDFs
Faster document retrieval
Accounts payable operations
Digitize invoice scans in bulk
Lower manual retyping
Show 2 more scenarios
Legal teams
Convert exhibits into searchable PDFs
Quicker citation lookups
Layout-aware extraction supports reading order through dense tables.
Document management admins
Standardize searchable exports for ingestion
More reliable indexing
Repeatable conversion settings improve consistency before repository import.
Best for: Fits when teams convert scanned batches into searchable PDFs with controlled layout quality.
Kofax Power PDF
enterprisePDF and document digitization software with OCR, conversion, and workflow features for business records.
Metadata tagging with export rules ties document properties to batch-produced PDFs.
Kofax Power PDF is built for document preparation after scanning, where the key job is producing consistent searchable PDF outputs from batches of images. It provides controls for image cleanup steps and metadata tagging so exported files carry usable index fields into document repositories. It also fits teams that need predictable PDF output settings across many documents rather than one-off edits. This makes it a practical match for production scan rooms that want repeatable document packaging.
A tradeoff is that Kofax Power PDF is not a full capture-orchestration suite for device scanning and OCR services like end-to-end digitization stacks. Teams that already have OCR and classification elsewhere will find less duplication and better ROI. Kofax Power PDF fits best when documents arrive as TIFF or image files and a workflow team needs standardized PDFs plus tagging before system ingestion.
- +Batch processing supports consistent PDF packaging across large folders
- +Image cleanup controls improve readability before indexing and handoff
- +Metadata tagging keeps document-level fields attached to exports
- +Workflow templates reduce manual steps for recurring document types
- –Not designed as an end-to-end capture and OCR orchestration engine
- –Some automation requires workflow setup work beyond basic conversion
Accounts payable operations
Convert scan outputs into searchable invoices
Faster repository ingestion
Healthcare records teams
Package patient forms for document systems
Reduced manual rework
Show 1 more scenario
Insurance claims teams
Prepare evidence scans for case folders
More reliable search
Creates uniform PDF outputs from batches and keeps metadata aligned to case indexing.
Best for: Fits when teams need repeatable scanned-to-PDF preparation and tagging before repository ingestion.
OpenText Intelligent Capture
enterpriseDocument capture software for digitizing paper and inbound files into business systems.
Rules and workflow configuration coordinate extraction, validation, and routing inside OpenText intake flows.
OpenText Intelligent Capture fits teams that want repeatable capture workflow configuration tied to enterprise intake, because routing, field extraction, and index population are designed as managed steps. Document processing can include zone-based extraction patterns and OCR-oriented preprocessing that improves downstream readability for structured indexing. Delivery into downstream systems is typically handled through provided export connectors and ingestion patterns used by enterprise content and process stacks.
A tradeoff appears when capture requirements need frequent bespoke transformations or field logic that cannot be expressed with the provided configuration and extraction mechanisms. For usage, the tool works well when scanning volume is steady and document types follow known layouts, such as invoice batches and account onboarding forms that share consistent separation and indexing rules.
- +Workflow-centric capture configuration supports repeatable indexing
- +Document preprocessing improves OCR readability on low-quality scans
- +Enterprise export and repository ingestion fit document lifecycle systems
- +Rules-based routing reduces manual queue handling for standard docs
- –Deep customization may require professional services for complex logic
- –Project setup and extraction tuning take time for new document layouts
Accounts payable teams
Batch invoice capture and indexing
Lower manual invoice processing
Customer onboarding operations
Form capture with structured routing
Faster onboarding decisions
Show 2 more scenarios
Enterprise content managers
Repository ingestion from scanning
Cleaner search and retrieval
Captured documents export with index fields for governed repository storage and retrieval.
Shared services teams
Multi-document intake workflows
Fewer misfiled documents
Routing rules handle separation and destination selection across recurring document types.
Best for: Fits when enterprises need configurable capture workflows with controlled indexing and enterprise repository integration.
Nanonets
API-firstAI document processing software that digitizes invoices, receipts, forms, and other business documents.
Zone-based extraction configuration that maps document regions directly to structured fields for API outputs.
Nanonets targets document digitization workflows with a focus on extraction plus automation around captured content. Core capabilities center on OCR and form field extraction, including layout-aware zone capture and structured output for downstream systems.
- +API-supported extraction runs for integrating capture into existing document pipelines
- +Zone-based document parsing supports field extraction from semi-structured layouts
- +Workflow configuration reduces custom code for common ingestion to export paths
- +Dataset iteration enables improving extraction quality across document variants
- –Complex capture chains can require more implementation effort than low-code rivals
- –Extraction accuracy depends on representative training data coverage per document template
- –Limited visibility into OCR internals can complicate troubleshooting document-specific failures
- –High-throughput batch jobs need careful batching and retry design
Best for: Fits when teams need extraction plus automation with an API-first integration into document repositories.
Docsumo
SMBDocument AI software for digitizing and extracting data from invoices, bank statements, and forms.
Configurable extraction field mapping that turns OCR outputs into structured, ingestion-ready records for each document type.
Docsumo digitizes document workflows by extracting structured fields from invoices, receipts, and other business documents using its document understanding and OCR pipeline. It supports automation through API-based extraction and configurable rules that map extracted values into target fields. The core emphasis is turning mixed layouts into consistent metadata like vendor, totals, dates, and line-item attributes for downstream ingestion.
- +API-first extraction for pushing recognized fields into existing systems
- +Configurable field mapping reduces one-off post-processing in exports
- +Handles common business document types like invoices and receipts
- +Normalization of extracted values supports consistent repository ingestion
- –Layout variance beyond template patterns can lower field accuracy
- –Higher automation depth can require more setup around target mappings
Best for: Fits when document workflows need API-driven field extraction for invoices and receipts with consistent exports.
Adobe Acrobat
SMBPDF software with OCR and scan-to-searchable-document features for everyday digitization work.
Redaction workflows that preserve PDF integrity and support review-ready outputs in the same document authoring environment.
Adobe Acrobat is the digitization choice for organizations that need document conversion, editing, and review tools around PDF as the system of record. Its OCR and text-recognition workflow supports searchable PDFs, and its metadata and redaction tooling helps teams standardize what gets captured and what gets shared.
- +Searchable PDF creation from scanned documents with integrated recognition workflows
- +Redaction tools with consistent PDF output behavior for regulated documents
- +Batch conversions for recurring PDF creation and formatting tasks
- +Extensibility via Acrobat developer interfaces for custom document actions
- –Limited capture hardware support compared with scanner-focused capture software
- –OCR results depend on input quality and often require manual cleanup
- –Repository ingestion usually needs separate connectors or workflow glue
- –Administration and role controls are less granular than document governance suites
Best for: Fits when teams need PDF-centric digitization workflows, OCR to searchable PDFs, and repeatable batch conversion.
M-Files
enterpriseDocument management software with scanning, OCR, and metadata-driven digitization workflows.
Metadata-driven information model that governs classification, search, and access across captured documents.
M-Files uses a metadata-first model where documents and records are indexed by defined properties rather than by folder location alone.
- +Metadata-first repository links scanned documents to classification and search fields
- +Configurable workflows route digitized documents based on metadata rules
- +Repository APIs support automation for ingestion, updates, and metadata changes
- +Admin controls and audit trails support governance of document access and edits
- –Capture and recognition quality depends on external scanners and OCR components
- –Complex metadata templates can add setup time for large document classes
- –Deep capture pipeline automation may require additional integrations
- –Batch ingestion tuning can be slower when metadata enrichment rules are heavy
Best for: Fits when document governance depends on metadata-driven access and rule-based routing.
ABBYY FineReader PDF
enterpriseOCR and PDF digitization software for converting scanned documents into editable and searchable files.
FineReader’s layout-focused recognition workflow that produces searchable PDF with preserved reading order.
ABBYY FineReader PDF focuses on document capture to searchable PDF output with an OCR engine that supports layout-aware recognition. The workflow centers on scanning or importing images, applying preprocessing like deskew, and then exporting searchable PDF or editable text.
- +Layout-aware OCR yields consistent searchable PDFs from mixed document types
- +Deskew and other image cleanup features improve recognition on scanned pages
- +Batch processing supports high-volume conversion with predictable output
- +Export workflows preserve text and structure needed for repository ingestion
- –Automation depth lags workflow orchestrators that drive capture end to end
- –Advanced field extraction often needs per-document configuration to stabilize
Best for: Fits when teams need reliable searchable PDF creation from scanned documents with layout preservation.
IBM Datacap
enterpriseEnterprise capture software for scanning, classifying, and digitizing large document volumes.
Datacap’s capture workflow orchestration combines indexing, validation, and routing at the scan-station workflow level.
IBM Datacap captures documents through connected scanners and digitizes forms using configurable capture workflows tied to index fields. It applies document processing such as OCR and layout-driven extraction to produce structured outputs for downstream repositories and business systems.
- +Workflow configuration connects scan stations to extraction and indexing logic
- +Extensible document processing rules support custom extraction and validation
- +Administration enables controlled access to capture configuration and operations
- +Output integration supports repository ingestion and downstream export needs
- –Capturing governed workflows typically requires a dedicated configuration effort
- –Rule maintenance can become complex when form layouts change frequently
- –Scanned capture performance tuning depends on deployment and engine settings
- –Deep integration patterns can demand engineering beyond standard connectors
Best for: Fits when enterprises need governed capture workflows with configurable indexing, OCR extraction, and structured exports.
Scanbot SDK
API-firstMobile and web scanning SDK for digitizing documents, barcodes, and IDs inside custom apps.
On-device capture pipeline with API access to enhanced images and recognition results for app-specific export.
Scanbot SDK is built for embedding document capture and OCR into a custom app, with on-device image processing and OCR result handling instead of a standalone capture UI. Its core capabilities cover camera and scanner integration via TWAIN and WIA, image enhancement steps like deskew and despeckle, and document export outputs such as searchable PDF and image formats.
- +Mobile SDK design enables document capture and OCR inside existing applications
- +TWAIN and WIA support fits enterprise desktop scanner deployments
- +Image processing pipeline includes deskew and despeckle steps
- +API-driven recognition results simplify mapping into custom index fields
- –Workflow automation beyond capture needs external orchestration and repository work
- –Setup complexity rises with scanner integration and tuning for consistent capture
- –Batch scanning and folder rules are limited compared with server digitization platforms
- –Advanced enterprise governance features like RBAC and audit log are not core SDK primitives
Best for: Fits when mobile or desktop apps need in-app document capture, OCR, and custom export wiring.
Conclusion
After evaluating 10 digitization software, ABBYY FineReader PDF 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 Digitization Software
This buyer’s guide covers ABBYY FineReader PDF, Kofax Power PDF, OpenText Intelligent Capture, Nanonets, Docsumo, Adobe Acrobat, M-Files, ABBYY FineReader PDF (pdf.abbyy.com), IBM Datacap, and Scanbot SDK, focusing on how teams turn scanned inputs into searchable PDFs and structured outputs. The ten tool reviews emphasize capture workflow orchestration, OCR quality controls, and how each product exposes configuration and automation for repository ingestion.
Tool fit varies sharply between layout-aware PDF creation tools like ABBYY FineReader PDF and capture-and-orchestrate platforms like OpenText Intelligent Capture and IBM Datacap. API-first extraction platforms such as Nanonets and Docsumo shift the center of gravity toward zone or field mapping that outputs records for downstream systems.
Digitization Software that converts scanned documents into searchable PDFs and structured records
Digitization software converts scanned pages into digitized artifacts like searchable PDFs and exports metadata or extracted fields for downstream indexing and routing. In this guide, ABBYY FineReader PDF is treated as a layout-aware OCR and reading-order reconstruction option for turning batches of scans into controlled searchable PDF outputs.
Other tools target different workflow control points, including Kofax Power PDF for repeatable scanned-to-PDF packaging with metadata tagging export rules and OpenText Intelligent Capture for rules and workflow configuration that coordinate extraction, validation, and routing inside intake flows. Nanonets and Docsumo push digitization toward API outputs built from zone-based parsing or configurable field mapping that maps document regions into structured ingestion-ready records. Scanbot SDK focuses on in-app capture pipelines with TWAIN and WIA support so mobile or desktop applications can run OCR and wire custom export behavior, while IBM Datacap and M-Files emphasize governed capture and metadata-driven routing across digitized content.
Digitization control points to compare across OCR, extraction, and routing
Digitization projects fail when OCR quality and downstream structure are treated as separate tasks. The tools in this guide expose configuration surfaces that tie recognition output to the next step, whether that next step is searchable PDFs, metadata tagging, or structured API payloads.
Category differences show up in how layout handling, field mapping, and workflow orchestration connect. ABBYY FineReader PDF and ABBYY FineReader PDF (pdf.abbyy.com) focus on reading-order reconstruction for searchable PDFs, while OpenText Intelligent Capture and IBM Datacap coordinate extraction, validation, and routing inside capture workflows.
Layout-aware reading order for searchable PDF text reconstruction
ABBYY FineReader PDF uses layout analysis to drive reading-order text reconstruction on forms and multi-column pages. ABBYY FineReader PDF (pdf.abby.com) focuses on layout-aware recognition that produces searchable PDFs with preserved reading order.
Metadata tagging with repeatable export rules
Kofax Power PDF ties document properties to batch-produced PDFs through metadata tagging and export rules. M-Files uses a metadata-driven information model to govern classification, search, and access across captured documents.
Rules and workflow orchestration inside intake
OpenText Intelligent Capture coordinates extraction, validation, and routing through rules and workflow configuration inside intake flows. IBM Datacap orchestrates capture workflows at the scan-station workflow level by connecting indexing, validation, routing, and structured exports.
API outputs built from zone extraction or field mapping
Nanonets provides zone-based extraction configuration that maps document regions directly to structured fields for API outputs. Docsumo provides configurable extraction field mapping that turns OCR outputs into structured, ingestion-ready records via API-first extraction.
Document image cleanup controls to raise OCR reliability
ABBYY FineReader PDF and ABBYY FineReader PDF (pdf.abby.com) both include configurable image cleanup and deskew-style improvements to reduce errors from noisy scans. Kofax Power PDF uses image cleanup controls to improve readability before indexing and handoff.
PDF-centric workflows for recognition and redaction
Adobe Acrobat builds digitization workflows around PDF authoring, including searchable PDF creation from scanned documents. Adobe Acrobat also includes redaction workflows that preserve PDF integrity and support review-ready outputs.
On-device capture pipeline with scanner driver support
Scanbot SDK is built for mobile or desktop in-app capture with API access to enhanced images and recognition results for app-specific exports. Scanbot SDK supports TWAIN and WIA integrations for enterprise desktop scanner deployments.
Choose a digitization workflow shape that matches where control must live
The decision hinges on the point where governance and automation need to be enforced. Some tools center on producing controlled searchable PDFs from batches of scans, while others center on capture orchestration that coordinates extraction, validation, and routing before documents enter a repository.
Two common product philosophies diverge sharply. ABBYY FineReader PDF and ABBYY FineReader PDF (pdf.abbyy.com) optimize layout-to-text reconstruction for PDF outputs, while OpenText Intelligent Capture and IBM Datacap optimize scan-station or intake-flow orchestration for governed capture workflows.
Pick the output contract: searchable PDF only, or structured fields into downstream systems
If the main deliverable is a searchable PDF whose reading order must stay stable across forms and multi-column layouts, ABBYY FineReader PDF is built around layout-aware reading-order reconstruction. If the main deliverable is structured fields delivered through APIs, Nanonets and Docsumo shift the workflow toward zone extraction or configurable field mapping that outputs ingestion-ready records.
Decide whether capture orchestration belongs in an intake platform or in a document conversion batch
For governed intake where extraction, validation, and routing run as part of the capture flow, OpenText Intelligent Capture and IBM Datacap coordinate those steps inside intake workflows. For batch conversion and packaging where PDF preparation and tagging are the focus, Kofax Power PDF centers on consistent scanned-to-PDF preparation with metadata tagging and export rules.
Map layout complexity to the tool’s layout controls and configuration effort
If document layouts vary and reading order must remain correct, ABBYY FineReader PDF relies on layout analysis that reconstructs text reading order for forms and multi-column pages. If layouts are semi-structured and field regions can be defined, Nanonets uses zone-based parsing so structured fields come from configured document regions.
Validate how metadata rules connect to classification and repository behavior
If classification and access control depend on metadata relationships, M-Files uses a metadata-first information model that links captured documents to classification and search fields. If tagging needs to bind to batch PDF output for repository ingestion, Kofax Power PDF uses export rules that attach document properties to produced PDFs.
Confirm whether the environment needs in-app capture with scanner driver integration
If capture must run inside an application with app-specific export wiring, Scanbot SDK provides an on-device pipeline plus API access to enhanced images and recognition results. If the environment uses desktop scanners and needs TWAIN or WIA support for capture, Scanbot SDK is the tool shaped for that integration point.
Assess governance depth around workflow configuration versus document cleanup tuning
If the workflow needs configurable extraction logic with routing and validation in managed intake flows, OpenText Intelligent Capture and IBM Datacap are the governed workflow options in this list. If governance depends more on stable PDF outputs and preprocessing tuning, ABBYY FineReader PDF and Kofax Power PDF provide layout or cleanup controls that reduce downstream indexing errors.
Who benefits from these Digitization Software control points
Digitization software fits teams that must convert scanned inputs into repository-ready artifacts with predictable structure. The right choice depends on whether the team’s bottleneck is reading-order correctness, field extraction mapping, or capture workflow governance.
Teams should align tooling to where their processes enforce rules. Some organizations need intake-flow routing and validation inside a capture platform, while others need API-first extraction into existing systems or repeatable searchable PDF packaging.
Teams converting batches of mixed documents into searchable PDFs with stable reading order
ABBYY FineReader PDF and ABBYY FineReader PDF (pdf.abbyy.com) focus on layout-aware OCR that reconstructs reading order for forms and multi-column pages into searchable PDF outputs.
Enterprises that require governed capture workflows with indexing and routing at scan-station or intake-flow level
OpenText Intelligent Capture and IBM Datacap coordinate extraction, validation, and routing through workflow configuration that ties scan inputs to structured exports.
Engineering teams that want API-driven extraction with zone or field mapping for downstream repositories
Nanonets and Docsumo expose API-first extraction that outputs structured fields built from zone extraction configuration or configurable field mapping.
Organizations standardizing scanned-to-PDF packaging and metadata tagging before repository ingestion
Kofax Power PDF applies metadata tagging with export rules and batch processing so produced PDFs carry consistent document properties into the next pipeline step.
Mobile or desktop app teams embedding capture and OCR directly into user workflows
Scanbot SDK provides an on-device capture pipeline with TWAIN and WIA support and API access to enhanced images and recognition results for custom export behavior.
Common digitization setup mistakes that break indexing and automation
Most failures come from treating OCR output as the end of the process. Teams that skip layout and workflow alignment often see unstable reading order, field drift, or routing errors once documents enter repository ingestion and downstream systems.
The most frequent mistake is assuming that a PDF conversion tool and an intake orchestration platform can be swapped without changing governance behavior. The tools here separate those control points across layout-aware reconstruction, metadata tagging, orchestration, and API extraction.
Choosing a searchable PDF tool and then expecting API-grade field extraction without workflow support
ABBYY FineReader PDF and ABBYY FineReader PDF (pdf.abbyy.com) are built around layout-aware searchable PDF creation, while Nanonets and Docsumo are shaped for zone extraction or configurable field mapping into API outputs.
Underestimating how much workflow customization is required for complex extraction and routing logic
OpenText Intelligent Capture and IBM Datacap can require extraction tuning and configuration effort when document layouts change often, which can become a project bottleneck compared with simpler batch PDF tagging approaches.
Treating metadata rules as an afterthought instead of a first-class governance mechanism
M-Files uses a metadata-driven information model for classification and access, while Kofax Power PDF binds metadata to batch PDF output through export rules, so delays in metadata design often surface as repository search and routing problems later.
Configuring zone or field mapping on a narrow set of templates and then deploying across document variants
Nanonets zone extraction depends on representative training data coverage across templates, and Docsumo configurable field mapping can lose field accuracy when layouts vary beyond template patterns.
Planning capture automation beyond capture when the product is scoped to on-device capture and repository wiring
Scanbot SDK supports in-app capture and scanner integration through TWAIN and WIA, but workflow automation beyond capture needs external orchestration and repository work, which can require additional engineering.
How We Selected and Ranked These Tools
We evaluated each tool on digitization outcomes tied to OCR control, extraction configuration, and workflow automation. Features carried 40% weight, ease carried 30% weight, and value carried 30% weight across the set.
ABBYY FineReader PDF ranked highest because it pairs layout analysis with reading-order text reconstruction for forms and multi-column pages and it includes configurable image cleanup to reduce errors from noisy scans. ABBYY FineReader PDF also scored highly on features and ease, with an overall rating of 9.2 And feature and ease scores of 9.1 And 9.4, Which set it apart from orchestrators like OpenText Intelligent Capture and scan-governed options like IBM Datacap.
Frequently Asked Questions About Digitization Software
How do UiPath-style document automation requirements map to OCR and capture components in Nanonets and ABBYY FineReader PDF?
Which tool handles layout complexity better for multi-column pages, ABBYY FineReader PDF or Kofax Power PDF?
When does OpenText Intelligent Capture outperform a PDF conversion workflow like Kofax Power PDF?
What breaks if a document pipeline needs strong metadata tagging and export rules, but only ABBYY FineReader PDF is used?
How do M-Files and IBM Datacap differ for governance-focused indexing and access control?
Which security features matter most when integrating digitization into enterprise workflows, and where do Adobe Acrobat and IBM Datacap differ?
How does Scanbot SDK integrate with existing repository ingestion, compared with using a standalone OCR-to-PDF workflow in Adobe Acrobat?
What tradeoff appears when switching from ABBYY FineReader PDF to Docsumo for invoice and receipt processing?
How can teams avoid migration friction when moving from a legacy capture system to Nanonets or OpenText Intelligent Capture?
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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