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Digital Products And SoftwareTop 10 Best Annotating Software of 2026
Explore the top 10 best annotating software tools for documents, images, and collaboration.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
diagrams.net
Layers for separating callouts from base diagrams
Built for teams annotating diagrams for documentation, reviews, and technical communication.
MarkupHero
Content-anchored annotations that persist on images and PDFs during review cycles
Built for teams sharing visual assets needing anchored feedback and threaded review.
Scribble (ScribbleLive)
Time-synced annotations during playback for structured event debriefs
Built for teams reviewing live events or recordings with time-synced visual markup.
Comparison Table
This comparison table evaluates annotating software for documents, images, and collaborative review, including diagrams.net, MarkupHero, Scribble, Kami, Adobe Acrobat, and additional top tools. Side-by-side entries focus on practical differences such as annotation features, markup workflow, and team collaboration capabilities so readers can match a tool to their use case.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | diagrams.net Diagrams.net provides browser and desktop tools to draw diagrams and add editable annotations directly onto images and document-style workspaces. | visual annotation | 8.3/10 | 8.6/10 | 8.1/10 | 8.2/10 |
| 2 | MarkupHero MarkupHero lets teams upload images and PDFs and add pin and text comments for review workflows with versioned exports. | PDF markup | 8.1/10 | 8.4/10 | 7.9/10 | 7.9/10 |
| 3 | Scribble (ScribbleLive) Scribble enables real-time collaborative commenting and annotation on shared PDF and image documents with trackable feedback. | collaborative markup | 8.0/10 | 8.2/10 | 7.8/10 | 7.9/10 |
| 4 | Kami Kami annotates PDFs and teaching materials with drawing tools, highlights, comments, and collaborative sharing. | document annotation | 8.3/10 | 8.7/10 | 8.4/10 | 7.7/10 |
| 5 | Adobe Acrobat Adobe Acrobat supports PDF annotation and commenting with highlights, sticky notes, drawing tools, and collaborative review features. | enterprise PDF | 8.3/10 | 8.6/10 | 8.0/10 | 8.3/10 |
| 6 | Xodo Xodo offers PDF annotation with markup tools, signature support, and shared review modes for document collaboration. | PDF annotation | 7.6/10 | 8.0/10 | 7.8/10 | 6.8/10 |
| 7 | Lumin PDF Lumin PDF provides in-browser PDF annotation, highlights, comments, and markup layers for collaborative document review. | web PDF markup | 7.3/10 | 7.6/10 | 7.4/10 | 6.9/10 |
| 8 | PLANET4-annotator Planet provides annotation tooling through its spatial workflow and image asset review capabilities for labeling and reviewing imagery. | imagery workflow | 7.5/10 | 7.8/10 | 7.3/10 | 7.2/10 |
| 9 | Label Studio Label Studio supports collaborative labeling and annotation for images, text, and video with project-based workflows. | AI labeling | 8.2/10 | 8.8/10 | 8.0/10 | 7.6/10 |
| 10 | CVAT CVAT is an open-source image and video annotation platform with team collaboration and labeling tasks. | open-source labeling | 7.5/10 | 8.2/10 | 7.1/10 | 6.9/10 |
Diagrams.net provides browser and desktop tools to draw diagrams and add editable annotations directly onto images and document-style workspaces.
MarkupHero lets teams upload images and PDFs and add pin and text comments for review workflows with versioned exports.
Scribble enables real-time collaborative commenting and annotation on shared PDF and image documents with trackable feedback.
Kami annotates PDFs and teaching materials with drawing tools, highlights, comments, and collaborative sharing.
Adobe Acrobat supports PDF annotation and commenting with highlights, sticky notes, drawing tools, and collaborative review features.
Xodo offers PDF annotation with markup tools, signature support, and shared review modes for document collaboration.
Lumin PDF provides in-browser PDF annotation, highlights, comments, and markup layers for collaborative document review.
Planet provides annotation tooling through its spatial workflow and image asset review capabilities for labeling and reviewing imagery.
Label Studio supports collaborative labeling and annotation for images, text, and video with project-based workflows.
CVAT is an open-source image and video annotation platform with team collaboration and labeling tasks.
diagrams.net
visual annotationDiagrams.net provides browser and desktop tools to draw diagrams and add editable annotations directly onto images and document-style workspaces.
Layers for separating callouts from base diagrams
diagrams.net stands out for its browser-first diagram editor with reliable offline use and a file format designed for portability. It supports core annotation workflows with layers for callouts, shape styling for emphasis, and easy text editing directly on canvas items. The tool includes collaboration through shared documents and export options for publishing annotated diagrams in common image and document formats. Its library of diagrams types and connectors supports consistent labeling across flowcharts, network maps, and technical schematics.
Pros
- Fast text and shape editing for clear inline annotations
- Layer support helps isolate callouts and review notes
- Broad diagram libraries with connectors and auto-layout options
Cons
- Annotation workflows can feel UI-heavy for complex callout sets
- Advanced typography control is limited compared to dedicated design tools
- Large documents can become slow when many elements are present
Best For
Teams annotating diagrams for documentation, reviews, and technical communication
MarkupHero
PDF markupMarkupHero lets teams upload images and PDFs and add pin and text comments for review workflows with versioned exports.
Content-anchored annotations that persist on images and PDFs during review cycles
MarkupHero focuses on turning static images, PDFs, and web pages into shared, threaded annotations. It supports highlights, comments, and markups that stay anchored to the underlying content so reviews remain consistent across updates. The workflow includes versioned feedback and an annotation layer that can be used for design review, QA, and document collaboration.
Pros
- Anchored markups keep feedback attached to the right place
- Threaded comments support review discussions without separate notes
- Works across images, PDFs, and web content for flexible review workflows
Cons
- Complex review structures can feel heavy for fast one-off feedback
- Large projects need careful organization to avoid annotation sprawl
- Advanced workflows depend on repeatable linking to the correct content version
Best For
Teams sharing visual assets needing anchored feedback and threaded review
Scribble (ScribbleLive)
collaborative markupScribble enables real-time collaborative commenting and annotation on shared PDF and image documents with trackable feedback.
Time-synced annotations during playback for structured event debriefs
ScribbleLive distinguishes itself with live, collaborative annotation workflows built around streaming and replay-ready visuals. It supports drawing tools, sticky notes, and time-synced comments so teams can mark up content during capture or playback. The tool also centers annotation activity around shared sessions, which reduces coordination overhead when reviewing events. Export and sharing options support handing annotated results to stakeholders for follow-up.
Pros
- Time-synced annotations make event reviews faster than static markup
- Collaborative sessions support real-time feedback across multiple reviewers
- Broad annotation primitives cover common review needs for visuals
Cons
- Annotation workflows can feel constrained compared with dedicated whiteboarding tools
- Organizing dense notes across a long timeline can require extra discipline
- Integration and export options are less comprehensive than top annotation suites
Best For
Teams reviewing live events or recordings with time-synced visual markup
Kami
document annotationKami annotates PDFs and teaching materials with drawing tools, highlights, comments, and collaborative sharing.
Real-time collaborative PDF markup with shareable review links
Kami stands out for turning PDFs and images into interactive, shareable markups with comments and drawing tools. It supports highlight, underline, shapes, and sticky notes directly on documents, with workflow-friendly sharing links. OCR and text-to-speech make scanned or image-based documents usable for review, study, and accessibility. Versioned collaboration fits review cycles that need fast annotation without converting files elsewhere.
Pros
- Rich markup tools for PDFs and images with precise placement
- Collaborative commenting via share links supports review threads
- OCR converts scanned pages into searchable and selectable text
Cons
- Advanced annotation workflows can feel limited for heavy document management
- Export and formatting consistency can require manual checks
Best For
Teams marking up PDFs and images with review comments and accessibility OCR
Adobe Acrobat
enterprise PDFAdobe Acrobat supports PDF annotation and commenting with highlights, sticky notes, drawing tools, and collaborative review features.
Comment tools with full review management inside the PDF, including structured comment handling
Adobe Acrobat stands out for full-fidelity PDF annotation with reliable rendering and export, which supports complex documents beyond simple markup. It includes markup tools like comments, highlights, drawing tools, stamps, and form field tools on top of the PDF. Review workflows are strengthened with tools for measuring, organizing comments, and managing review states inside the same document experience.
Pros
- Robust PDF-specific annotation tools that preserve layout and formatting
- Comment management for organizing feedback within long, complex PDFs
- Includes measurement and drawing tools for technical markup
Cons
- Advanced review workflows feel heavy compared with simpler annotators
- Annotation navigation can be slow in very large comment lists
- Editing non-PDF content often requires extra steps
Best For
Teams reviewing detailed PDFs who need precise markup and comment tracking
Xodo
PDF annotationXodo offers PDF annotation with markup tools, signature support, and shared review modes for document collaboration.
Xodo ink annotations with pen, highlight, shapes, and layer-style markup on PDFs
Xodo stands out for combining PDF annotation with lightweight markup tools and multi-device workflows in one viewer. It supports pen, highlight, shapes, and text markup, plus page management for review-ready exports. Collaboration is geared toward sharing marked-up documents and using comment-like workflows rather than deep task management.
Pros
- Fast pen and highlight annotation with responsive ink rendering
- Handles common PDF edits like page reorder and adding text
- Exports and shares annotated documents with consistent formatting
Cons
- Advanced redaction and form workflows are limited compared with specialists
- Collaboration features focus on sharing rather than tracked review states
Best For
Teams and individuals annotating PDFs across desktop and mobile devices
Lumin PDF
web PDF markupLumin PDF provides in-browser PDF annotation, highlights, comments, and markup layers for collaborative document review.
OCR text extraction that complements annotation on scanned PDFs
Lumin PDF stands out for combining PDF annotation with OCR-powered text extraction in one workflow. It supports adding common markups like highlights, comments, shapes, and freehand drawings directly on documents. It also enables extracting text from scanned pages so annotated notes can reference searchable content. The tool targets review and feedback cycles where documents move between viewing, markup, and text retrieval.
Pros
- Rich markup tools for highlights, comments, and drawing on PDFs
- OCR text extraction supports making scanned documents searchable
- Review-friendly interface for quick page-level annotation
Cons
- Collaboration features for multi-user review are limited for team workflows
- Advanced annotation organization like layers is not a strong focus
- Workflow for exporting annotated results can feel less streamlined
Best For
Document reviewers needing OCR plus annotation in a single flow
PLANET4-annotator
imagery workflowPlanet provides annotation tooling through its spatial workflow and image asset review capabilities for labeling and reviewing imagery.
Built-in quality checking tools that flag annotation inconsistencies during review
PLANET4-annotator centers on managing labeled tasks for computer vision datasets with interactive image review and annotation workflows. Core capabilities include bounding box and polygon style labeling, class and attribute assignment, and quality checks designed to keep annotations consistent across large projects. Batch export of completed labels supports downstream training pipelines, while project-level settings help standardize label schemas across teams.
Pros
- Structured label schema helps keep annotation classes consistent across tasks
- Supports common vision annotation types like boxes and polygons
- Project workflow and quality checks reduce labeling errors before export
- Batch export enables straightforward handoff to model training pipelines
Cons
- Workflow depends on setup of label schema and project conventions
- Advanced automation is limited compared with full-fledged enterprise annotation suites
Best For
Teams building labeled vision datasets with schema control and quality checks
Label Studio
AI labelingLabel Studio supports collaborative labeling and annotation for images, text, and video with project-based workflows.
Configurable labeling interfaces via Studio’s project-specific labeling configuration
Label Studio stands out for its visual, browser-based labeling workspace that supports text, image, audio, video, and document annotation in one system. It provides configurable labeling interfaces with reusable annotation controls, plus project-level workflows for collecting labels at scale. Core capabilities include bounding boxes, polygons, keypoints, classifications, span labeling, and dataset management for training-ready exports. Collaboration and review are supported through task assignment and repeat labeling support, which helps teams iterate on label quality.
Pros
- Rich annotation types for vision, text, and audio in one interface
- Configurable labeling UIs enable custom workflows without rebuilding the tool
- Exports support training pipelines with consistent dataset formatting
- Task assignment and multi-label review support annotation quality control
Cons
- Complex setups require configuration knowledge to avoid workflow friction
- Large datasets can feel slower during heavy browsing and filtering
- Automation features depend on integrations and pipeline configuration
Best For
Teams needing customizable multimodal annotation and training-ready exports
CVAT
open-source labelingCVAT is an open-source image and video annotation platform with team collaboration and labeling tasks.
Video track annotation with interpolation and active frame editing
CVAT stands out for its ability to run fully self-hosted and support complex, collaborative labeling workflows. It provides web-based annotation for images, videos, and 3D media with task/project management, labeling guidelines, and team coordination. Strong tooling includes polygon, polyline, points, bounding boxes, and track-based annotation designed for video and sequence labeling. Power users also get integrations for machine-assisted workflows, data import and export, and customizable labels to fit domain-specific taxonomies.
Pros
- Robust support for image and video labeling with track workflows
- Self-hosted deployment enables controlled, private annotation pipelines
- Wide export and import options for dataset handoffs
Cons
- Setup and administration effort increases for teams without DevOps support
- Annotation UX can feel heavy for very simple, one-off tasks
- Advanced workflows require label configuration discipline
Best For
Teams needing configurable, collaborative CV labeling with self-hosting control
Conclusion
After evaluating 10 digital products and software, diagrams.net 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 Annotating Software
This buyer's guide explains how to choose annotating software for documents, images, and collaborative workflows using diagrams.net, MarkupHero, Scribble (ScribbleLive), Kami, Adobe Acrobat, Xodo, Lumin PDF, PLANET4-annotator, Label Studio, and CVAT. It maps concrete workflows like anchored threaded feedback, time-synced playback markup, OCR-enabled review, and computer-vision label export to the tools that fit each use case. The guide also highlights the most common setup and workflow pitfalls that show up across these products.
What Is Annotating Software?
Annotating software adds visual marks like highlights, shapes, comments, and drawing tools on top of content such as PDFs, images, diagrams, and video sequences. It solves review and labeling problems by keeping feedback attached to the correct item, coordinating multiple reviewers, and producing exports that teams can hand off downstream. For document markup, tools like Kami and Adobe Acrobat support PDF and scanned content workflows with layered comments and precise placement. For computer-vision dataset work, tools like Label Studio and CVAT provide structured labeling interfaces for boxes, polygons, keypoints, and track-based video annotation.
Key Features to Look For
The right feature set depends on whether annotation must stay attached to content, support collaboration, or generate training-ready labels and exports.
Content-anchored annotations that persist on images and PDFs
Content-anchored annotations keep feedback attached to the right spot even when the underlying asset changes, which is essential for review cycles. MarkupHero anchors markups on images, PDFs, and web content so threaded feedback stays aligned to the reviewed material. Kami also supports precise PDF markup with shareable review links so comments remain tied to document locations.
Threaded comment workflows for review discussions
Threaded comments reduce the need for separate notes by storing discussion context inside the markup experience. MarkupHero focuses on threaded comments for review discussions on shared assets. Kami provides collaborative commenting via share links that supports multi-user review without moving feedback into external tools.
Time-synced annotations during playback for event reviews
Time-synced annotations attach drawing and sticky-note style feedback to specific moments, which speeds structured debriefs of live events and recordings. Scribble (ScribbleLive) adds time-synced comments during playback so reviewers can mark what happened when it happened. This workflow is built around collaborative sessions that stream and replay annotation activity.
Layers for isolating callouts and separating markup from base content
Layers help teams keep callouts, review notes, and emphasis marks separate from the underlying diagram so edits remain manageable. diagrams.net includes layer support that separates callouts from base diagrams and helps keep complex markup readable. Xodo and other PDF-focused tools support layer-style markup behaviors on documents to keep emphasis marks organized.
OCR-powered text extraction for scanned document review
OCR turns scanned pages into searchable text so reviewers can reference and locate content quickly after markup. Lumin PDF combines PDF annotation with OCR text extraction, which supports searchable context alongside highlights and comments. Kami also includes OCR and text-to-speech so image-based documents become usable for review and accessibility.
Structured dataset labeling with schema control and export
Dataset labeling requires consistent label schemas, validation for annotation quality, and exports that training pipelines can ingest. PLANET4-annotator provides a project workflow with label schema control for bounding boxes and polygons plus built-in quality checking for inconsistencies. Label Studio and CVAT support configurable labeling interfaces and export-ready dataset formats for training-ready workflows across images, text, audio, video, and documents.
How to Choose the Right Annotating Software
Choosing the right annotating tool starts by matching the annotation object, the collaboration pattern, and the export or handoff requirement.
Match the content type to the tool
For diagram documentation and technical communication, diagrams.net provides a browser-first diagram editor with editable annotations placed directly on canvas items. For PDF and scanned document review, Kami and Adobe Acrobat focus on precise PDF markup with drawing tools, highlights, sticky notes, and shareable commenting. For computer-vision labeling, Label Studio and CVAT provide structured annotation types like bounding boxes, polygons, keypoints, and track-based video labeling.
Decide how feedback must stay attached to the work
If feedback must persist on the exact content location across review updates, MarkupHero anchors markups on images and PDFs so review stays aligned to the underlying asset. If teams prioritize fast PDF markup without moving feedback outside the document, Kami supports collaborative PDF markup with share links. If feedback must support diagram emphasis and separation, diagrams.net layers callouts from the base diagram to avoid mixing review notes with the primary diagram.
Pick the collaboration model that fits the review schedule
For real-time event and recording reviews, Scribble (ScribbleLive) uses time-synced annotations during playback and collaborative sessions that reduce coordination overhead. For document review collaboration, Kami provides real-time collaborative PDF markup via shareable review links. For complex PDF feedback management inside a single file, Adobe Acrobat includes comment tools and structured comment handling for organizing feedback across long comment lists.
Plan for scanning, accessibility, and searchable references
If reviewed inputs include scanned pages, Lumin PDF adds OCR text extraction that complements highlights and comments on PDFs in one workflow. Kami also converts scanned or image-based documents into selectable and searchable text via OCR and adds text-to-speech for accessibility. Avoid tools that lack OCR in the same workflow if searchable context is required for reviewers to find where issues were raised.
For training data, require label schema control and export consistency
For teams building vision datasets, PLANET4-annotator emphasizes project-level settings that standardize label schemas and includes quality checks that flag annotation inconsistencies. Label Studio delivers configurable labeling interfaces for multimodal annotation and dataset management with task assignment for iterative label quality. CVAT supports collaborative CV labeling with self-hosted deployment and video track annotation with interpolation and active frame editing for sequence labeling.
Who Needs Annotating Software?
Annotating software serves teams that must review content visually, coordinate feedback, or produce structured labels for training and analytics.
Teams annotating diagrams and technical documentation
diagrams.net fits teams annotating diagrams for documentation, reviews, and technical communication because it supports layers and editable text and shapes on a diagram canvas. Its emphasis on layer separation for callouts helps teams keep review notes distinct from the base technical diagram.
Teams conducting asset review with anchored, threaded feedback
MarkupHero suits teams sharing visual assets and needing anchored feedback during review cycles because markups persist on images, PDFs, and web content. Its threaded comments reduce ambiguity by keeping discussion tied to specific annotations.
Teams reviewing live events or recordings with structured debrief timelines
Scribble (ScribbleLive) fits teams that need time-synced annotations because it supports drawing tools, sticky notes, and time-synced comments during playback. Collaborative sessions make parallel review faster than static markup for event debriefs.
Teams producing computer-vision datasets and validating label quality at scale
Label Studio and PLANET4-annotator are built for structured labeling workflows because they support configurable labeling interfaces and schema control with quality checks. CVAT supports collaborative dataset labeling with self-hosted control and track-based annotation for video with interpolation and active frame editing.
Common Mistakes to Avoid
Several recurring workflow issues across these tools come from choosing the wrong interaction model for the review workload.
Using a tool without OCR for scanned-document review
Teams that annotate scanned PDFs often need searchable text for referencing issues, and tools like Lumin PDF and Kami provide OCR text extraction as part of the markup workflow. Without OCR, reviewers can end up marking images without a searchable pathway for follow-up.
Overloading annotation workflows without organizing layers or structure
Complex diagrams and dense callout sets can become hard to manage when markup cannot be separated, and diagrams.net addresses this with layers for separating callouts from base diagrams. For PDFs, Adobe Acrobat supports structured comment handling that helps manage long comment lists inside the PDF experience.
Choosing generic PDF sharing when structured review states and comment management are required
Xodo emphasizes ink and sharing for PDF annotation, but teams needing structured comment management inside the document should evaluate Adobe Acrobat because it includes comment tools for organizing feedback and review states. Relying on simple sharing can lead to reviewer ambiguity when many comments exist.
Picking a document annotator for video sequence labeling
Video track annotation requires track workflows, interpolation, and active frame editing, and CVAT provides these capabilities for image and video sequence labeling. Using a document-focused annotator for video sequences creates extra manual work because timeline-aware track annotation is not its primary strength.
How We Selected and Ranked These Tools
We evaluated every tool on three sub-dimensions that map to real annotation outcomes. Features carry a weight of 0.4, ease of use carries a weight of 0.3, and value carries a weight of 0.3. The overall rating is the weighted average calculated as overall = 0.40 × features + 0.30 × ease of use + 0.30 × value. diagrams.net separated itself from lower-ranked options by combining strong feature support for layered callouts and editable on-canvas text editing with browser-first usability for diagram annotation workflows.
Frequently Asked Questions About Annotating Software
Which annotating tool is best for drawing and labeling diagrams in the browser with offline access?
diagrams.net fits diagram-centric annotation because it runs as a browser-first editor and supports reliable offline work. It uses layers to separate callouts from the base diagram and offers export options for sharing annotated diagrams as common image and document formats.
Which tool keeps comments anchored to the exact content even after images or PDFs change?
MarkupHero fits anchored review because it places highlights and threaded comments on top of images, PDFs, and web pages so feedback stays tied to the underlying content. The workflow supports versioned review cycles so teams can iterate without losing the annotation context.
Which solution suits time-synced annotation during live event review or playback?
ScribbleLive fits event review because it focuses on live collaborative annotation tied to streaming and replayable visuals. It supports drawing tools, sticky notes, and time-synced comments so teams can produce structured debriefs after capture.
Which annotating software is strongest for collaborative PDF markup with shareable review links and accessibility features?
Kami fits PDF-focused collaboration because it provides real-time collaborative markup with shareable links for fast feedback cycles. It also includes OCR plus text-to-speech so scanned documents can be annotated and read for accessibility.
Which tool is best when full-fidelity PDF review needs advanced comment organization and review state management?
Adobe Acrobat fits detailed PDF review because it supports complex documents with reliable rendering and export. It includes structured comment tools and review workflows that manage comment tracking and organization inside the PDF experience.
Which annotating tool works well for multi-device PDF markup and ink-style annotations?
Xodo fits multi-device teams because it combines a PDF annotation viewer with pen, highlight, shapes, and text markup controls. It emphasizes page navigation for review-ready exports while keeping annotation workflows lightweight across desktop and mobile.
Which tool combines annotation with OCR text extraction so highlighted notes map to searchable text?
Lumin PDF fits scanned-document workflows because it pairs annotation tools with OCR-powered text extraction. Reviewers can add highlights, comments, shapes, and drawings while extracted text becomes available for referencing and search.
Which annotating software is designed for labeling computer vision datasets with polygons, schema control, and quality checks?
PLANET4-annotator fits dataset production because it supports bounding boxes and polygon labeling with class and attribute assignment. It also includes built-in quality checking to flag inconsistencies and supports batch export of labels for downstream training pipelines.
Which tool is best for customizable, browser-based labeling across multiple modalities and training-ready exports?
Label Studio fits multimodal annotation because it runs in a browser and supports text, image, audio, video, and document labeling. Its Studio configuration enables reusable labeling interfaces, and it includes dataset management for label exports suitable for training workflows.
Which solution is best for self-hosted, collaborative image, video, and sequence annotation with track-based work?
CVAT fits self-hosted team labeling because it provides web-based annotation for images, videos, and 3D media with project and task management. It supports polygon, polyline, points, bounding boxes, and track-based annotation with interpolation and active frame editing for video sequences.
Tools reviewed
Referenced in the comparison table and product reviews above.
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