Medical Transcription: Nabla, Heidi, Doctolib, Tandem, Praxy… comparison of the best solutions

AI-powered medical transcription has become an indispensable strategic tool for healthcare professionals in just a few years. Faced with an explosion of administrative burden, pressure on medical time, and regulatory requirements, AI medical transcription solutions are no longer limited to simple note-taking: they are becoming true intelligent clinical assistants.

In 2025, players like Nabla, Doctolib Assistant, Tandem Health, and Praxy Santé are structuring the market. New approaches are also emerging, such as Markus Santé, which pushes usage far beyond transcription with advanced clinical data exploitation.

This comprehensive comparison helps you understand, compare, and choose the solution best suited to your practice.

What is AI Medical Transcription?

AI medical transcription involves automatically transforming a doctor-patient conversation into structured medical documentation. Unlike classic voice dictation, AI analyzes the clinical context, identifies relevant information, and organizes it according to standard medical formats.

Difference between voice dictation and intelligent transcription

• Voice dictation: the doctor speaks, the text is transcribed word for word.

• AI medical transcription: the conversation is understood, synthesized, and structured automatically.

This evolution marks a major change: we are moving from a data entry tool to a medical practice support tool.

How intelligent medical transcription solutions work

Audio capture and patient consent

The consultation is recorded in real time (in-person, teleconsultation, or phone), with explicit patient consent.

Analysis, transcription, and structuring

The AI:

• transcribes the conversation,

• identifies symptoms, history, diagnoses, treatments,

• structures the clinical note (SOAP, report, letter, etc.).

Validation and integration into the patient record

The healthcare professional validates the note before integrating it into the electronic patient record (EPR).

Serious solutions do not record raw audio and comply with GDPR and HDS standards.

Concrete benefits for healthcare professionals

• 1 to 2 hours saved per day

• Significant reduction in burnout

• More complete and better structured patient records

• Improved consultation quality (less screen time, more listening)

• Standardization and traceability of clinical information

2025 comparison of the best AI medical transcription solutions

Nabla: the premium multi-specialty solution

Positioning

Nabla positions itself as a complete medical assistant oriented towards organized structures and specialists.

Key features

• Fast and accurate transcription

• Support for many specialties

• Intelligent structuring of clinical notes

• Automated medical coding

• Integration with many EPRs

Advantages

• High level of accuracy

• Robust and proven solution

• Significant time savings

Limitations

• High cost

• Limited integration with some French software

• Not very flexible outside large ecosystems

Ideal for

Hospitals, clinics, multi-practitioner specialized practices.

Heidi: the international AI medical scribe for clinics and hospitals

Positioning

Heidi is a global AI-powered medical scribe solution designed to assist healthcare professionals with daily clinical documentation. Heidi was developed by an Australian company founded in 2019 and is used in many countries to automate transcription and clinical note generation.

Key features

• Automatic transcription of consultations, even in multi-speaker or noisy environments

• Generation of structured notes, letters, and medical documents

• Multilingual support and customization of note templates

• Possible integration with electronic health records (EHR/EPR)

• Intelligent task management (codes, follow-ups, clinical summaries)

Advantages

• Solution suitable for all clinical specialties, from general practitioners to specialists

• Real-time transcription

• Tool designed to significantly reduce administrative time and improve patient experience

• Compliant with international standards for data security and confidentiality

• Examples of use in different languages and clinical contexts

Limitations

• May require an adaptation period for users

• EHR integration may vary depending on the IT environment

Ideal for

Practitioners, clinics, hospital departments seeking a robust AI solution for medical documentation, with international coverage.

Doctolib Assistant: perfect integration for Doctolib users

Positioning

Solution designed exclusively for the Doctolib ecosystem.

Key features

• Automatic note-taking

• Consultation summary

• Pathology coding

• Letter generation (depending on version)

• Integrated medical dictation

Advantages

• Native and fluid integration

• Ease of use

• Clear pricing

Limitations

• Only usable with Doctolib

• Still limited specialty coverage

• Little advanced customization

Ideal for

General practitioners and specialists already using Doctolib.

Tandem Health: the rigorous and European clinical approach

Positioning

Tandem Health aims for widespread adoption in healthcare facilities with high clinical demands.

Key features

• Real-time conversational transcription

• Customizable clinical templates

• Generation of medical letters

• Automatic coding

• Integration with most EPRs

Advantages

• Very clinical vision

• Strong integration capability

• Adapted to complex structures

Limitations

• Less oriented towards solo practices

Ideal for

Health centers, hospitals, multi-site organizations.

Praxy Santé: the accessible and multichannel French solution

Positioning

Praxy Santé stands out for its quality/price ratio.

Key features

• Real-time transcription

• In-person consultation, teleconsultation, and phone

• Automatic generation of medical documents

• Mon Espace Santé compatibility

• Telephony and video integration

Advantages

• Designed for French standards

• Unique multichannel on the market

Limitations

• Less known internationally

• More restricted ecosystem

Ideal for

Private practices, health centers, versatile practitioners.

Markus Santé, much more than medical transcription

Markus Live: from transcription to augmented clinical intelligence

Markus Santé adopts a radically different approach with the launch of Markus Live.

Here, medical transcription is no longer an end in itself, but exploitable clinical raw material.

Advanced customization of medical documents

Thanks to direct access to the complete transcription, Markus Live allows:

• to model reports according to specialty,

• to adapt documents to the practitioner's style,

• to automatically generate personalized clinical documents.

Intelligent and contextualized medical research

Markus goes further by exploiting transcription to:

• conduct targeted research in scientific literature,

• propose care plans adapted to the patient's specific context,

• suggest clinical recommendations based on scientific data.

Patient communication and continuity of care

Markus Live also allows:

• to send understandable summaries to the patient,

• to share explanatory documents post-consultation,

• to improve therapeutic adherence and follow-up.

Key positioning: Markus Live transforms AI into a post-consultation clinical assistant, where most solutions stop at documentation.

Security, GDPR, and compliance

All serious solutions comply with:

• explicit patient consent,

• secure hosting of health data,

• no retention of audio recordings,

• GDPR and HDS requirements.

From transcription to agentic AI

Medical transcription is evolving towards AI capable of acting:

• propose clinical decisions,

• automate post-consultation actions,

• accompany the doctor throughout the care pathway.

Players like Markus already illustrate this transition towards the augmented, not replaced, physician.

Conclusion

In 2025, AI medical transcription is no longer a luxury but an operational necessity.

The right choice depends on your practice, your software environment, and your vision of care.

The true value is not just the time saved, but the regained clinical quality.