Top 5 AI Progress Note Tools: Tested & Reviewed for 2026

After testing 20+ tools that generate AI progress notes across therapy, rehab, and primary care workflows, these are the top 5 that consistently saved me the most time. If you want accurate, compliant notes without the admin load, start with this shortlist.

Disclaimer: The information in this article, including software, features, prices, and other figures, is subject to change. While we strive to keep our content current and accurate, we recommend always consulting official sources or qualified professionals for the most up-to-date and authoritative information before making important decisions.

The 5 best tools for AI progress notes: At a glance

Let me first give you a quick overview of the tools that stood out in testing. Here’s how they compare in terms of strength and pricing:

Terms To Understand AI Progress Notes

You’ll come across several medical and technical abbreviations as you read along. Here’s a list to help you understand them better: 

• EMR (Electronic Medical Record): A digital version of a patient’s chart used during treatment.
• SOAP (Subjective, Objective, Assessment, Plan): A standard format for writing clinical notes after patient visits.
• DAP (Data, Assessment, Plan): A shorter version of SOAP notes, commonly used in therapy.
• EHR (Electronic Health Record): A complete digital record that follows a patient across providers.
• ASR (Automatic Speech Recognition): Technology that converts spoken words into text.
• NLP (Natural Language Processing): AI that understands and organizes human language.
• LLM (Large Language Model): AI trained on large datasets to generate human-like text.
• HCC (Hierarchical Condition Category): A coding system used to assess patient health severity.
• MEAT (Monitor, Evaluate, Assess, Treat): A method used to document health conditions properly.
• HIPAA (Health Insurance Portability and Accountability Act): U.S. law that protects sensitive patient health information.
• PIPEDA (Personal Information Protection and Electronic Documents Act): Canadian law that protects personal health data.
• SOC 2 (System and Organization Control 2): An independent audit report attesting to a company's controls for data security and privacy.

Next, let’s explore the tools in detail.

1. Lindy: Best overall for AI progress notes and automation

What does it do? Lindy offers an AI medical scribe to note patient progress, record sessions, transcribe them, or format your notes into clinical templates like SOAP or DAP. It also lets you handle related tasks with many prebuilt and customizable AI agents.

Who is it for? Therapists, counselors, clinical providers who want fast and accurate AI progress notes without changing their workflow, along with customizable templates and strong security. 

I tested Lindy across different therapy-style workflows to see how it handles real conversation patterns and clinical phrasing. I used mock sessions, scripted prompts, and sample patient scenarios to simulate what psychologists and therapists document daily. 

The first thing I noticed is how quickly it removes small talk and keeps only medically relevant details.

I moved through each mock session without thinking about note-taking because Lindy kept up with the pace and captured every important point. When I fed it test lines like “Patient reports reduced anxiety and continues CBT exercises,” Lindy shaped the input into a clean SOAP note that needed little editing. 

Lindy understands DSM-5 terminology and subtle behavioral descriptors without confusion. During testing, it picked up changes in affect or mood when I added them to mock dialogue. I also tested how well it switches between different templates. 

I could move from therapy-style notes to primary care formats without rebuilding anything, which helped me see how clinicians can keep documentation consistent across patient types.

Lindy complies with HIPAA, PIPEDA, and SOC 2 regulations with strong encryption. It also avoids storing session recordings, which gives clinicians confidence when handling sensitive cases. 

I also plugged Lindy into a standard workflow with calendars and telehealth tools, and it took only a few minutes to set up. The only part that required extra time was the template customization, but once I set it up, everything worked smoothly.

Key features

• Medical Scribe template to help clinicians start quickly
• Real-time transcription that filters out irrelevant conversation
• Support for SOAP, DAP, and custom clinical templates
• No-code workflow builder to customize templates
• Medical-language comprehension with DSM-5 alignment
• Secure architecture with HIPAA, SOC 2, and PIPEDA compliance
• 4,000+ app integrations, including telehealth and scheduling tools

Pros

• Easy setup with common calendar and video tools
• Customization options for note formats
• Accurate clinical phrasing
• Ready-to-use templates for notes, scheduling, transcription and more

Cons

• Setting up custom workflows may take some time and trials

Pricing

• Free plan with up to 40 monthly tasks
• Paid plans from $49.99/month, billed monthly

Bottom line

Lindy works well for clinicians who want fast, accurate AI progress notes with clinical language support. It’s the most balanced choice for therapists who want reliable documentation without friction.

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2. Noterro: Best for mental health and multidisciplinary clinics

What does it do? Noterro is a clinic management platform that brings progress notes, scheduling, billing, and patient records together, making it easier to manage your workflow.

Who is it for? Mental health providers, physical therapists, massage therapists, chiropractors, and multidisciplinary clinics that want one system for notes, scheduling, billing, and insurance tasks.

During my testing, I liked the flexible templates. I could build notes from defaults or rearrange sections and widgets to match specific clinical needs. This helped me create layouts for mental health, physical therapy, and rehab sessions without bouncing between different tools. 

Once I used a template, Noterro locked it for compliance, which kept my documentation consistent and protected from accidental edits.

The dashboard UI is clean. I could open a patient profile, start a note, and jump back to scheduling without tab overload. Noterro’s AI summaries also helped shorten long intake forms into clear points, which saved time on cases with complex paperwork. 

Noterro handles billing, reminders, and insurance tasks too. This makes sense for clinics that want one system for admin and documentation. 

The only drawback is the learning curve, so it fits better for teams that want an all-in-one practice hub.

Key features

• Customizable clinical templates with flexible widgets
• AI summaries for forms and progress notes
• Scheduling, billing, and insurance tools
• Multi-location and assistant management
• Notes tied directly to appointments and patient profiles

Pros

• Helpful for clinics that want integrated billing
• Clean dashboard for navigation
• An all-in-one platform for teams that don’t want multiple tools

Cons

• Limited offline access
• Can feel complex for solo practitioners

Pricing

• No free plan
• Paid plans from $33/month, billed monthly, with $13.20/seat/month for additional seats

Bottom line

Noterro works best for clinicians who need documentation, scheduling, and billing in one system. It supports mental health and multidisciplinary settings with flexible templates and useful AI summaries.

3. Augmedix: Best for real-time clinical note-taking with EHR sync

What does it do? Augmedix is a clinical documentation tool that records patient-provider conversations and turns them into structured progress notes. It uses speech recognition and medical-focused NLP to organize each encounter.

Who is it for? Clinicians who want real-time documentation with accurate EHR syncing and the option to add human review when needed.

I tested Augmedix using mock visit transcripts and scripted clinical scenarios to see how it handles conversation patterns and medical phrasing. It captured dialogue clearly and shaped it into notes that matched the structure used in primary care and mental health documentation.

The layered NLP models handled clinical terminology well, so I didn’t need to adjust the core structure of the drafts during testing. I also tested how the tool behaves inside an EHR workflow using sample patient charts and test records. 

I could review charts and update notes in the same interface without switching screens, which showed how it supports busy clinical environments.

Augmedix sells three levels of support. Go creates notes with AI only. Assist adds a quick human review. Live gives you a dedicated scribe throughout the visit. During testing, each tier kept the workflow stable, and the EHR sync with Epic and Cerner stayed reliable. 

Pricing can be higher for small teams, and some users mention inconsistent support. But the quality of documentation was consistent in my tests.

Key features

• Real-time speech capture with medical NLP
• AI-only, hybrid, or full-service scribing
• Bi-directional EHR syncing
• Secure, with HITRUST certification

Pros

• Accurate specialty-aligned drafts
• Saves time with EHR sync
• Flexible service levels

Cons

• Higher cost for full-service
• Mixed feedback on long-term support

Pricing

• No free plan or public pricing
• Need to schedule a demo for a detailed quote

Bottom line

Augmedix fits clinicians who want accurate, real-time documentation with dependable EHR syncing and the option to scale support.

4. DeepScribe: Best for specialty-focused ambient AI notes

What does it do? DeepScribe is an ambient AI progress notes tool that listens during patient visits and turns the conversation into structured clinical documentation. It supports specialty workflows with templates that match MEAT and HCC requirements.

Who is it for? Clinics that want ambient AI notes with specialty customization and built-in compliance prompts.

I tested DeepScribe in mock specialty visits, and it started capturing details the moment the session began and organized them without interrupting the flow. It’d show the relevant HCC codes during examinations and prompt me if I missed parts of the required documentation. 

The Customization Studio also gave me control over note structure, phrasing, and detail level. I tested more than 50 adjustable settings using made-up data, and each one shaped the output in a predictable way.

DeepScribe is HIPAA-compliant, and uses encryption and de-identified data handling. It works best for clinicians who want structured specialty notes with minimal editing. 

It delivers accurate notes for primary care and commonly requested specialties, though less common fields may require manual review.

Key features

• MEAT and HCC alignment
• 50+ customization controls
• Compliance prompts during visits
• HIPAA-compliant architecture

Pros

• Accurate notes for specialties
• Helpful compliance cues
• EHR integrations
• Automate pre-visit, during-visit, and post-visit tasks

Cons

• Pricing not public
• Occasional review needed for niche cases

Pricing

• Custom plans based on clinic size and needs

Bottom line

DeepScribe fits clinics that want ambient documentation with specialty-level accuracy and strong compliance support.

5. Microsoft Dragon Copilot: Best for voice-driven clinical workflows

What does it do? Microsoft Dragon Copilot is a voice-first clinical documentation tool that turns spoken notes into structured progress notes. It works across devices and connects to EHR systems to support full clinical workflows.

Who is it for? Healthcare teams who prefer voice-driven documentation and want cross-device note creation inside Microsoft-based environments.

I tested Dragon Copilot in clinical workflows using made-up patient data and scripted dictation prompts to see how well it handles real-time speech input and documentation. It responded quickly to natural speech and shaped my input into clear clinical notes without extra steps.

The system also flagged missing details like family history or vitals when I left them out of test dictations. This makes it easier for clinicians to complete patient encounters without going back to edit notes later. 

I switched between desktop, mobile, and web during testing, and each platform kept the same note structure and context.

During testing, I used it to create referral letters, after-visit summaries, and patient instructions. It kept everything inside the workflow, which reduced the need for window switching. 

The tool also runs on the Microsoft security stack with HIPAA compliance and strong access controls. It performs best inside organizations that already use Microsoft services. .

Key features

• Real-time dictation
• Cross-device workflows
• Structured clinical notes
• Smart prompts for missing details
• Built on Microsoft’s security stack

Pros

• Works well for voice workflows
• Broad clinical task support
• Secure architecture
• Multilingual system with translation support

Cons

• Works best for Microsoft-heavy teams
• Smaller teams may not need the full set of features

Pricing

• No free plan
• Custom enterprise pricing

Bottom line

Dragon Copilot fits clinicians who want fast, voice-driven clinical documentation supported by Microsoft’s security and ecosystem.

How I tested AI progress note tools

I’ve worked with clinicians and therapists to help them automate their notes and other workflows. I tested each AI progress notes tool in mock scenarios that resemble real sessions. I used generated transcripts and sample progress notes to understand how each tool handles documentation tasks in realistic settings.

Here are the criteria I used during testing:

• Transcription accuracy: I fed each tool scripted conversations and dictated sample notes to see how quickly it captured speech and recognized common clinical terms without correction.
• Clinical structure: I tested SOAP, DAP, and custom formats to see how well each system built structured notes.
• Editing time: I reviewed each generated note to measure how much cleanup it needed before it looked ready for clinician review.
• Workflow fit: I measured how many steps it took to start a note, attach it to a patient, and move between scheduling, EHR tasks, and documentation.
• Session compatibility: I tested each tool during mock therapy sessions, telehealth visits, and primary care encounters.
• Integrations: I checked how easily the tools connected with calendars, video platforms, and EHR systems.
• Security: I reviewed compliance, encryption standards, data handling, and whether recordings were stored anywhere.
• Customization depth: I adjusted templates, prompts, and specialty settings to see how well each tool adapts to different documentation needs with accuracy.

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Which therapy notes software should you choose?

The right AI progress note tool depends on your workflow, specialty, and how much control you want during documentation. Use these scenarios and applications to decide:

Choose Lindy if you:

• Want a balance of accuracy, customization, and security
• Need SOAP, DAP, or custom templates that match therapy language
• Prefer automating workflows beyond notes with no-code AI agents

Choose other tools:

• Noterro if you want one system for notes, scheduling, billing, and insurance
• Augmedix if you need strong EHR syncing during live visits and human review
• DeepScribe if you want ambient specialty notes with MEAT and HCC support
• Dragon Copilot if you document mostly through voice and use Microsoft systems across your clinic

Avoid these tools if you:

• Want complete control over manual note writing
• Prefer offline documentation
• Work in a setting with limited tech adoption
• Have strict workflows that cannot support real-time audio capture

My verdict

After testing popular tools for AI progress notes, Lindy delivered the ideal mix of accuracy, speed, clinical structure, and workflow automation. 

Noterro works well for clinics that want documentation tied to billing and scheduling, and DeepScribe fits specialty workflows that need compliance prompts. Augmedix and Dragon Copilot help teams that prefer real-time or voice-driven workflows. 

Each tool has a clear place, but Lindy offers the best overall balance for most clinicians.

Try Lindy to take accurate AI progress notes

Lindy gives you a medical scribe template for clinicians to take AI progress notes. You can also create AI agents for EHR sync, research, reports and other medical workflows without writing code. Ready-to-use templates and 4,000+ integrations help you get started quickly. 

Here’s why Lindy beats other tools for AI progress notes:

• Drag-and-drop workflow builder for non-coders: You don’t need any technical skills to build workflows with Lindy. It offers a drag-and-drop visual workflow builder. 

• Create AI agents for your use cases: You can give them instructions in everyday language and automate documentation tasks. For example, set up one agent to extract key details from dictated notes or session transcripts. Create another agent to format those details into SOAP or DAP progress notes and flag missing sections before review. 

• Free to start, affordable to scale: Build your first few automations with Lindy’s free version and get up to 40 tasks. With the Pro plan, you can automate up to 1,500 tasks, which offers much more value than Lindy’s competitors.  

Try Lindy today for free.

Frequently asked questions

What is an AI progress note generator?

An AI progress note generator creates structured clinical notes from your voice, text, or session audio. It listens to the visit, identifies key clinical details, and formats everything into SOAP, DAP, or specialty templates. 

What is the best AI for SOAP notes?

Lindy is the best AI for SOAP notes because it understands conversations, recognizes clinical language, follows your template style, and creates notes that need minimal editing. It supports HIPAA compliance and keeps the workflow simple for therapists and other providers.

How do you write mental health progress notes?

You write mental health progress notes by following a clear format like SOAP or DAP. Start with the client’s reported experience, add your observations, record your clinical assessment, and outline the next steps. You keep the language specific and avoid vague terms. 

Does AI therapy work?

Yes, AI therapy tools work by supporting clinicians and handling note-taking, screening tasks, summaries, and basic conversation checks. They do not replace licensed professionals, but they reduce documentation pressure and help clinicians focus on the treatment. 

What are the three basic types of progress notes?

SOAP, DAP, and narrative notes are the three basic types of progress notes. SOAP follows a structured four-part layout. DAP simplifies the structure into data, assessment, and plan. Narrative notes allow more freedom and work well for clinicians who prefer paragraph-style documentation. 

What is the difference between progress notes and clinical notes?

Progress notes track how a patient responds to treatment over time, while clinical notes include many record types such as history and physicals, consult reports, and discharge summaries. Progress notes fall under the broad category of clinical notes.

What types of progress notes do research trials use?

Research trials use progress notes that track participant status, protocol steps, and any unexpected events. These include source documents, visit notes, and deviation reports. Each note helps teams verify data, support compliance, and create a clear audit trail for regulators.