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Technology Digital MediaTop 10 Best Scribing Software of 2026
Editorial roundup comparing scribing software options, detailing tradeoffs for clinical teams and outlining where tools fit. Includes Nabla, Augmedix, Tortus.
How we ranked these tools
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Framework: Features 40% · Ease 30% · Value 30%
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Nabla is the best overall pick for clinical teams that need template-governed note generation with predictable structured output because it pairs configurable dictation flow with sectioned templates. Augmedix is the better alternative for complex encounters since its human-in-the-loop scribing turns visit conversations into cleaner draft notes for EHR-ready review.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Nabla
Configurable dictation workflow plus template-driven note generation for consistent structured outputs.
Best for: Fits when teams need template-governed note generation with admin controls and predictable formatting.
Augmedix
Editor pickHuman-in-the-loop scribing workflow that turns dictated encounter capture into structured draft notes for EHR use.
Best for: Fits when clinical teams need reliable scribing output during real patient visits and can run human-in-the-loop operations.
Tortus
Editor pickTemplate-driven note generation that preserves section structure for rapid clinician review.
Best for: Fits when clinics need ambient note drafts with template structure during encounters.
Comparison Table
Nabla
SMBAI copilot for clinicians that generates clinical notes from ambient patient conversations.
Configurable dictation workflow plus template-driven note generation for consistent structured outputs.
Nabla captures spoken clinician encounters and converts them into structured clinical notes for faster documentation. It supports configurable dictation workflows and template-driven note generation that can output multiple formats for downstream systems.
It also focuses on operational fit for real-time transcription use cases through background audio capture and speaker diarization. Administrative control relies on enterprise governance features like RBAC and audit log coverage.
- +Template-driven note generation supports consistent SOAP-style formatting
- +Speaker diarization improves attribution in multi-speaker exam room audio
- +Configurable dictation workflow reduces manual reformatting work
- +RBAC and audit logging support controlled rollouts across teams
- –Structured outputs require careful template and field mapping setup
- –Workflow automation depends on integrating transcription output into existing note flows
Physiotherapy practices
Draft structured physiotherapy session documentation
More consistent session tracking
Clinics with standardized forms
Generate SOAP-style note sections
Faster chart review
Show 2 more scenarios
Outpatient practice administrators
Connect visit notes to visit operations
Connected workflow for visits
Turns encounter audio into documentation while supporting linked scheduling and visit tracking.
Multi-provider care teams
Standardize handoff documentation
Clearer care handoffs
Creates reusable encounter documentation that teams can reference for continuity and follow-up.
Best for: Fits when teams need template-governed note generation with admin controls and predictable formatting.
Augmedix
enterpriseAI-driven medical scribing platform that converts clinician-patient conversations into structured clinical notes.
Human-in-the-loop scribing workflow that turns dictated encounter capture into structured draft notes for EHR use.
Augmedix is a medical scribing software used to generate clinical documentation from live clinician-patient encounters. The workflow centers on human-in-the-loop scribing paired with structured note generation and EHR export patterns aimed at faster turnaround.
It supports dictation-style capture flows for producing encounter notes while coordinating with clinical documentation requirements. Organizations evaluating scribing tools typically assess integration depth with their EHR stack and operational controls around capture and output handling.
- +Human-in-the-loop scribing improves note quality for complex encounters
- +Structured note templates reduce variability across clinicians
- +Encounter documentation output is designed for EHR note writing workflows
- +Dictation workflow supports fast capture during active visits
- –Capture and output depend on encounter setup and audio collection discipline
- –Advanced automation and API extensibility are limited compared with test-focused recorder tools
Veterinary organizations
Produce structured encounter charts
Reviewable encounter notes
Clinicians and practices
Draft draft chart notes from visits
Less manual typing
Show 2 more scenarios
High-volume clinics
Manage daily documentation queues
Better backlog control
Applies managed transcription and review workflows to handle large daily documentation backlogs.
Multi-specialty health systems
Apply specialty templates to notes
More uniform notes
Uses specialty templates and structured sections so note formats stay consistent across providers.
Best for: Fits when clinical teams need reliable scribing output during real patient visits and can run human-in-the-loop operations.
Tortus
vertical specialistAmbient AI clinical scribe developed for UK and international healthcare markets.
Template-driven note generation that preserves section structure for rapid clinician review.
Tortus centers on note generation from spoken input, with structured note templates that map captured content into consistent sections such as subjective, objective, and assessment. It supports clinician correction via human-in-the-loop scribing so the final note reflects workflow-specific wording and omissions. Tortus is designed for exam room microphone style capture, including background audio capture patterns suited to real conversations rather than single-speaker dictation.
A practical tradeoff is that real-world audio quality and mic placement can change transcription accuracy, which then affects downstream note structure consistency. Tortus fits best when the team already uses consistent documentation formats, so template-driven sections reduce manual reformatting. It is also a strong fit for clinics that want note drafts inside the encounter window to reduce after-visit documentation load.
- +Structured note templates keep generated content in consistent sections
- +Human-in-the-loop review supports clinician corrections without breaking flow
- +Draft notes reduce post-visit documentation time pressure
- +Workflow-oriented capture fits exam room microphone scenarios
- –Audio quality and mic placement can materially affect note structure accuracy
- –Template setup requires disciplined coverage of each encounter type
- –Some clinical nuance still needs manual cleanup after generation
- –High variability in conversation style increases re-edit workload
Family medicine clinics
Generate SOAP draft from room audio
Faster note completion
Internal medicine groups
Standardize visit notes across providers
More consistent documentation
Show 2 more scenarios
Care teams with scribe duties
Replace manual transcription into notes
Lower admin workload
Ambient scribing creates draft narratives from conversational input with human review.
Specialty clinics with varied templates
Handle multi-type encounter documentation
Less reformatting
Configurable templates support different note formats that map to encounter documentation needs.
Best for: Fits when clinics need ambient note drafts with template structure during encounters.
Athelas
enterpriseAI scribe and revenue cycle management platform for healthcare providers.
Clinician review workflow pairs automated draft note generation with configurable, encounter-aligned structured templates.
Athelas targets ambient clinical documentation in exam rooms by capturing background audio and producing draft notes aligned to structured note formats. Human-in-the-loop scribing is built into the workflow so clinicians can edit before documentation is finalized. EHR integration workflows are designed to reduce manual transcription-to-chart steps and shorten turn-around time for encounter documentation.
- +Draft notes arrive quickly for clinician editing during the encounter
- +Structured templates help keep documentation consistent across encounter types
- +Human-in-the-loop review supports safer acceptance and corrections
- +EHR integration workflows reduce manual copy and paste steps
- –Template and encounter-context configuration requires disciplined onboarding
- –Exception-heavy visits can increase clinician edit time
Primary care clinics
Same-day documentation during high-volume visits
Less manual transcription workload
Specialty outpatient practices
Structured notes for repeatable visit types
More consistent note formatting
Show 1 more scenario
Clinical operations teams
Workflow rollout across multiple rooms
Faster time from visit to chart
EHR integration reduces steps between capture, review, and chart entry for operational consistency.
Best for: Fits when clinics need fast draft documentation from room audio with clinician review and chart integration.
Chartnote
SMBAI-powered clinical documentation tool with ambient scribing and smart phrases.
Template-driven scribing that outputs consistently structured encounter notes for review before export.
Chartnote combines transcription and structured note creation into a single dictation-to-chart flow that supports common clinical note formats. Structured templates drive repeatable section ordering and reduce manual formatting work during the encounter. The platform also supports human-in-the-loop review so generated text can be corrected before it becomes part of the patient record.
- +Dictation-to-chart workflow reduces manual note assembly time
- +Structured templates keep encounter sections consistent across providers
- +Human-in-the-loop editing supports clinician review before export
- +Designed around clinical encounter documentation rather than generic docs
- –Terminology accuracy drops with noisy room audio
- –Less suited for complex custom note structures beyond templates
- –EHR hookup can limit which downstream formats are available
- –Macro-like dictation support needs training for reliable results
Primary care clinics
Generate SOAP notes from dictation
Fewer formatting steps
Specialty groups
Standardize visit documentation templates
More uniform charting
Show 2 more scenarios
Clinical administrators
Improve turnaround time on notes
Quicker finalized charts
Faster note generation shortens the time from visit to completed documentation with review checkpoints.
Clinician teams
Correct generated text during review
Higher documentation confidence
Human review supports edits to names, findings, and medication details before export to the chart record.
Best for: Fits when practices need consistent encounter note formatting from dictation.
Tali
SMBAI scribe and medical search assistant for clinicians.
Structured note drafting with configurable encounter templates that target consistent SOAP outputs for review.
Tali is a scribing workflow that turns real-time speech into draft clinical notes for patient encounters. It supports configurable note generation with structured templates and consistent SOAP formatting, then outputs text suitable for documentation review.
- +Configurable structured note templates that keep SOAP formatting consistent
- +Draft note generation based on encounter audio reduces time spent retyping
- +Workflow supports human review before exporting narrative documentation
- +Integration orientation supports reuse inside existing documentation steps
- –Template configuration requires disciplined governance across providers
- –Note quality depends on audio conditions and speaker clarity
Physicians and clinicians
Dictate and review structured visit notes
Less manual typing
Hospital documentation teams
Draft discharge summaries from speech
Reduced discharge work
Show 2 more scenarios
Specialty practices
Capture specialty-heavy terminology in notes
More usable drafts
Supports medical vocabulary for specialty-heavy dictation to improve draft usability.
Healthcare operations and IT
Route transcription output to workflows
More controlled document movement
Configures transcription output so documentation moves into downstream EHR or local handling workflows.
Best for: Fits when care teams need draft note generation from dictation with structured review gates.
VideoScribe
vertical specialistWhiteboard animation and scribing software for creating hand-drawn explainer videos.
Drawing-style motion is generated from asset placement on the canvas, so scenes animate through built-in render logic.
VideoScribe is a scribing tool aimed at turning scripts into whiteboard-style videos with reusable visual assets. It focuses on an authoring workflow that builds scenes with text, shapes, images, and character-style elements on a timeline.
- +Whiteboard scene timeline turns scripts into structured visual steps
- +Library-driven drawing effects reduce the need for manual keyframes
- +Reusable assets speed up recurring explainer segments
- +Video export supports straightforward publishing and reuse
- –Scene editing can feel constrained for complex motion and layout
- –Automating large batch variations requires more manual duplication work
- –Asset control is limited compared with timeline-first motion editors
- –Fewer integration options for external pipelines and content systems
Video editors
Export transparent animated overlays
Reusable animated overlays
Learning and development teams
Turn training scripts into illustrated modules
Reusable onboarding modules
Show 2 more scenarios
Product marketing teams
Create hand-drawn product explainers
Paced explainer content
Converts product feature scripts into paced explainer videos using reusable visual assets.
Educators and instructional designers
Produce narrated lessons with planned sequencing
Lesson videos aligned to plan
Creates illustrated lesson videos from scripts with narration aligned to an instructional sequence.
Best for: Fits when teams need repeatable explainer videos without building custom animation assets.
Corti
enterpriseAI assistant for healthcare conversations including real-time scribing and decision support.
Human-in-the-loop scribing workflow ties draft generation to clinician approval before final documentation.
Corti is a scribing workflow tool focused on turning real-time encounter audio into draft clinical notes. It supports dictation-driven note generation with structured templates for consistent SOAP-style output.
- +Human-in-the-loop review keeps clinical drafts under clinician control
- +Structured note templates support consistent SOAP formatting across encounters
- +Speaker-aware transcription improves attribution for multi-person dialogue
- +Configuration of dictation macros reduces repeated phrasing in notes
- –EHR integration setup needs governance around where notes land
- –Template coverage can be limiting for highly specialized specialty note formats
Clinic teams
Draft follow-up visit notes from conversations
Less routine documentation effort
Clinicians and outpatient teams
Capture exam-room conversations into drafts
Faster note completion
Show 2 more scenarios
Healthcare teams with review controls
Route drafts through sign-off workflows
Accountable note sign-off
Supports amendment and acceptance workflows so generated notes become chart-ready only after review.
Clinical operations leaders
Standardize progress notes across providers
More consistent progress notes
Uses templates and structured outputs to reduce variation in progress notes across encounters.
Best for: Fits when clinical teams need consistent, reviewable scribed notes from room audio with controllable formatting.
Sully.ai
vertical specialistAI medical scribe that automates clinical documentation for outpatient settings.
Template-driven scribing that produces SOAP-formatted notes from live dictation with clinician approval in the loop.
Sully.ai focuses on scribing workflows built around real-time transcription and automated clinical note generation from spoken encounters. The product supports configurable structured note templates and can format output to common clinical layouts such as SOAP notes.
- +Real-time transcription to drive near-finished note drafts during visits
- +Structured templates that keep note sections consistent across encounters
- +Human-in-the-loop review for clinician validation before finalization
- +Output formatting supports SOAP-style clinical documentation layouts
- –Limited detail on discrete EHR field mapping for structured exports
- –Setup requires careful audio configuration in exam room conditions
- –Macro coverage is narrower than teams expect from generic dictation tools
- –Automation depends on template design discipline to avoid section gaps
Primary care clinicians
Draft SOAP notes from patient visit audio
Cleaner charts, faster note completion
Behavioral health providers
Generate structured therapy session documentation
More consistent session notes
Show 2 more scenarios
Medical practices with EHR workflows
Export encounter documentation into EHR
Reduced manual charting
The scribing workflow produces clinician-validated outputs aligned to common clinical note layouts for EHR export.
Specialty clinics documenting procedures
Create templated visit notes from spoken encounters
Improved documentation accuracy
Templates guide structured note generation while clinicians correct details based on the transcript.
Best for: Fits when medical teams want faster documentation with clinician review, structured templates, and consistent SOAP-style output.
Lyrebird Health
vertical specialistAI medical scribe generating documentation from consultation audio.
Configurable dictation workflow that maps captured encounter dialogue into structured note templates for consistent SOAP formatting.
Lyrebird Health targets medical scribe and dictation workflow use cases where spoken encounter audio is converted into formatted clinical documentation.
- +Dictation workflow supports structured note generation for SOAP-style documentation
- +Human-in-the-loop review reduces risk from raw transcription errors
- +Configuration of note templates helps enforce consistent clinical formatting
- +Speaker handling improves accuracy for multi-person encounter audio
- –EHR integration depth can be limited compared with scribing tools built for specific systems
- –Turn-around time varies with audio quality and room acoustics
Physicians documenting outpatient visits
Draft SOAP notes during live appointments
Faster, cleaner visit documentation
Medical scribes supporting clinics
Scribe dictations from provider audio
Reduced manual transcription work
Show 2 more scenarios
Specialty practices with structured templates
Generate encounter notes for compliance workflows
More standardized clinical notes
Uses note templates to keep assessments and plans consistent across providers.
Telehealth teams documenting consults
Capture virtual visit audio into notes
Quicker charting after calls
Turns remote encounter speech into editable documentation before chart entry.
Best for: Fits when clinical teams need configurable note generation from room audio and clinician review before export.
Conclusion
After evaluating 10 scribing software, Nabla 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 Scribing Software
Scribing software turns room audio or dictation into structured encounter drafts for clinician review, with Tortus leading for template-driven note generation that preserves section structure for rapid clinician checks. This guide covers Tortus, Athelas, Chartnote, Augmedix, Nabla, Sully.ai, Lyrebird Health, Tali, Corti, and VideoScribe, with emphasis on the automation path teams use to convert captured speech into consistently formatted SOAP-style notes.
Tools like Augmedix and Corti center human-in-the-loop approval to keep drafts under clinician control, while Tortus and Athelas focus on template-driven generation that targets predictable note sections. Across the list, the biggest differences show up in how templates connect to encounter context and how much governance teams need to keep outputs consistent across providers.
Scribing Software that generates structured clinician notes from dictation with review gates
Scribing software ingests dictated encounter audio and converts it into structured draft documentation that a clinician can review before it becomes part of the final chart workflow. Most tools in this category emphasize template-driven note generation so sections stay consistent across providers, such as Tortus preserving template structure for fast clinician review and Chartnote producing consistently structured encounter notes before export.
Human-in-the-loop workflows also show up in tools like Augmedix and Corti, where draft generation is tied to clinician approval so the review step remains part of the scribing loop. The practical goal is throughput with control, so the software’s automation surface, template setup discipline, and reliance on audio quality determine how reliably the generated notes match the intended structure.
Scribing Software features that control draft quality and review throughput
Automation must convert room audio or dictation into structured drafts that clinicians can review without rebuilding note sections. Tools that generate consistent section structure reduce provider rework and keep documentation predictable across encounter types.
The differentiators across Tortus, Athelas, Chartnote, Augmedix, Nabla, Sully.ai, Lyrebird Health, Tali, Corti, and VideoScribe show up in how templates connect to encounter context and how tightly clinician approval stays in the scribing loop.
Template-driven note section structure
Tortus uses template-driven note generation that preserves section structure for rapid clinician review, which directly reduces time spent reassembling notes. Chartnote and Sully.ai also rely on template-driven formatting to keep encounter sections consistent before export.
Clinician review gate in the scribing loop
Augmedix turns human-in-the-loop capture into structured draft notes for EHR use, keeping approval tied to the workflow during real visits. Corti and Sully.ai also route finalization through clinician approval so drafts stay under clinician control.
Speaker attribution and multi-speaker handling
Nabla includes speaker diarization, which improves attribution in multi-speaker exam room audio so generated content aligns with who said what. Tools without diarization tend to show terminology drops when audio is noisy or speakers overlap.
Operational dependence on audio capture quality
Tortus calls out how audio quality and mic placement can materially affect note structure accuracy, which makes capture setup a first-order factor. Chartnote and Athelas similarly report that noisy room audio and exception-heavy visits increase clinician edit time.
Automation surface for integrating into existing workflows
Augmedix and Corti prioritize a human-in-the-loop scribing workflow but report limited advanced automation and API extensibility compared with test-focused recorder tools. Tortus and Athelas emphasize structured templates and clinician correction without breaking flow, which reduces friction for teams that need repeatable drafts.
Choosing based on workflow control, template governance, and automation depth
Scribing selection should start with where control needs to live. Some deployments depend on clinicians editing within the encounter loop, while others focus on template-driven outputs that clinicians review after drafts are generated.
The next decision is governance effort. Template setup and field mapping discipline change the operational load, and tools with structured templates still vary in how sensitive they are to audio conditions and encounter-context configuration.
Select the workflow model: clinician-in-the-loop vs template-first review
Choose Augmedix or Corti when clinician approval must be part of the drafting path, because their human-in-the-loop workflow ties generation to a review gate before final documentation. Choose Tortus, Athelas, Chartnote, or Sully.ai when the primary goal is template-driven structured drafts that clinicians can correct with less disruption.
Match template complexity to the clinic’s encounter variety
Pick Tortus or Athelas when consistent section structure must be preserved across encounter types, because their template-driven generation aims to keep sections stable for clinician review. Choose Chartnote when the clinic mainly needs consistent encounter note formatting from dictation and can stay within template boundaries.
Plan for multi-speaker exam rooms
Choose Nabla when multi-speaker attribution matters, because speaker diarization improves attribution in exam room audio. If the room has frequent overlap, tools that experience terminology accuracy drops with noisy audio will usually create more clinician edits.
Budget governance time for template setup and field mapping
Choose Nabla, Athelas, or Tali when the team can run disciplined template and field mapping setup, since structured outputs depend on careful mapping. Avoid tool adoption when template configuration governance is not feasible, because exception-heavy visits and encounter-context configuration can increase clinician edit time.
Validate audio capture requirements before scaling throughput
Tortus highlights that mic placement and capture discipline materially affect note structure accuracy, so audio setup must be part of rollout readiness. Confirm performance with Sully.ai or Chartnote under local room noise, because terminology accuracy drops and edit work rise when audio is noisy.
Who benefits from specific Scribing Software architectures
Different teams face different failure modes, and scribing fit depends on where errors must be caught. Teams that need control inside the encounter loop should prioritize human-in-the-loop approval. Teams that need consistent formatting for fast review should prioritize template-driven section structure.
The tools below align to staffing patterns, encounter volume, and tolerance for template governance work.
Clinics standardizing SOAP-style documentation across providers
Tortus and Sully.ai emphasize template-driven structured outputs that keep note sections consistent across encounters, which reduces provider-to-provider variation during clinician review.
Practices that require clinician approval before notes finalize in the EHR path
Augmedix and Corti tie draft generation to clinician approval, which keeps clinical control in the scribing loop for complex visits.
Multi-speaker exam rooms with frequent overlap and attribution needs
Nabla’s speaker diarization improves attribution in multi-speaker audio, which helps the structured templates map correctly to the right speaker turns.
Teams with limited capacity to maintain complex template and mapping governance
Chartnote is built around consistent encounter formatting from dictation and template structures, which can be easier to operate when custom specialty note structures are not a priority.
Organizations evaluating automation and extensibility beyond basic templating
Augmedix and Corti report limited advanced automation and API extensibility compared with recorder-style test tooling, so teams needing deep automation surface should validate integration fit early.
Common scribing implementation mistakes that directly degrade outputs
Scribing failures usually show up as structured notes that are consistently wrong in format, terminology, or attribution. These mistakes create extra clinician edits and reduce throughput even when transcription quality looks acceptable.
The patterns below map to specific tool constraints from Tortus, Athelas, Chartnote, Augmedix, Nabla, Sully.ai, Lyrebird Health, Tali, Corti, and VideoScribe.
Treating template setup as a one-time configuration instead of an ongoing governance task
Tortus and Athelas require disciplined coverage of each encounter type to keep generated structure accurate, so gaps in template coverage lead to broken sections. Nabla and Tali similarly depend on careful template and field mapping setup for structured outputs.
Skipping mic placement and room audio validation during pilot
Tortus flags that audio quality and mic placement materially affect note structure accuracy, and this typically shows up as incorrect section filling. Chartnote also reports terminology accuracy dropping with noisy room audio, which increases clinician rework.
Expecting structured export to support highly specialized note formats without template investment
Chartnote and Tali center on template-driven SOAP-style outputs, so highly specialized specialty note formats may not map cleanly beyond templates. Corti also notes potential template coverage limitations for specialized formats.
Assuming clinician review time stays constant across exception-heavy visits
Athelas notes that exception-heavy visits can increase clinician edit time because templates and encounter context must align to the unusual parts of documentation. Nabla similarly requires careful template and field mapping so exceptions do not break structured outputs.
Overlooking audio-driven turnaround time variability when room acoustics change
Lyrebird Health reports that turn-around time varies with audio quality and room acoustics, which can disrupt clinician scheduling. Tools that depend on real-time transcription like Sully.ai still require careful audio configuration in exam room conditions.
How We Selected and Ranked These Tools
We evaluated Tortus, Athelas, Chartnote, Augmedix, Nabla, Sully.ai, Lyrebird Health, Tali, Corti, and VideoScribe using features coverage at 40% and ease versus value at 30% each. Features scoring emphasized template-driven note generation consistency and whether drafts preserve structured section structure for clinician review.
Ease scoring emphasized how workflow fit changes when template setup needs disciplined onboarding and when audio conditions affect output structure. Tortus ranked highest because template-driven note generation preserves section structure for rapid clinician review while human-in-the-loop review supports clinician corrections without breaking flow.
Frequently Asked Questions About Scribing Software
How does Tortus handle structured note templates during a live encounter?
What breaks if a team treats Chartnote like a generic speech-to-text tool instead of an encounter note workflow?
Which tools in this list support human-in-the-loop clinician review before export?
When does Nabla rely on speaker diarization and background audio capture, and what does that trade off?
How do Athelas and Corti differ in how EHR workflows show up in day-to-day operation?
What admin controls should teams look for when granting access to scribing workflows?
Where does SOAP formatting fall short if templates are not aligned with a clinic’s documentation standards?
How can teams evaluate dictation workflow fit between Lyrebird Health and Tali?
Which tool in this list is designed for note drafting from real-time encounter audio rather than authoring content like videos?
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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