AI Documentation Platform

AI Medical Documentation Software for Healthcare Applications

Notetaker is an open-source AI transcription and documentation tool designed for developers building healthcare applications. Deploy instantly with Docker, customize output formats, and integrate seamlessly into existing medical workflows.

Bartosz Michalak

Director of Engineering

Sebastian Kalisz

Senior Software Engineer

Dominik Cywiński

AI/ML Engineer

problem statement

Deploy Medical Transcription Software with AI Documentation Tools

Developers building healthcare applications struggle with implementing AI transcription, documentation generation, and EHR integration. Building these features from scratch requires specialized knowledge in speech recognition, medical workflows, and compliance standards.

Key features

Production-Ready AI Medical Scribe Software for Developers

Notetaker provides production-ready AI transcription and documentation tools with Docker deployment, customizable formats, and local processing for healthcare compliance.

Production-Ready AI Transcription

WhisperX integration with speaker diarization, time alignment, and multi-language support. GPU acceleration and batch processing for high-performance transcription workflows.

Medical Format Generation

Generate structured medical notes in SOAP, HL7 CDA, and custom formats using LLM-powered summarization. Pydantic models ensure consistent, validated output structures.

One-Command Deployment 

Complete Docker environment with FastAPI server, optional Ollama integration, and demo UI. Deploy locally or in your cloud with single docker-compose command.

Developer-First Architecture

RESTful API with OpenAPI documentation, environment-based configuration, and modular design. Easy to integrate into existing healthcare applications and workflows.

Local Processing Options

Full local deployment with WhisperX and Ollama models. Keep sensitive medical data on your infrastructure while maintaining AI processing capabilities.

Flexible Model Support

Choose between local models (Ollama, WhisperX) or cloud APIs (OpenAI, Hugging Face). Switch processing backends without changing application code.

demo

Automated Clinical Documentation: Audio to SOAP Notes

See how Notetaker transforms medical conversations into structured documentation with AI transcription and intelligent summarization.

This demo shows real medical interview transcription with speaker diarization, followed by automatic SOAP note generation using structured LLM output.

use cases

Medical Transcription Solutions for Healthcare Developers

Telehealth Platforms

Integrate real-time transcription and note generation into video consultation platforms. Provide doctors with automated documentation while they focus on patient care during virtual appointments.

Perfect for telehealth startups building comprehensive consultation platforms with built-in documentation workflows.

EHR Integration Modules

Build transcription modules that integrate directly with existing EHR systems. Convert audio recordings into structured formats (SOAP, HL7 CDA) that can be imported into electronic health records.

Ideal for healthcare IT teams building documentation automation for hospital systems and clinical workflows.

Clinical Documentation Tools

Create specialized documentation applications for specific medical specialties. Customize output formats, terminology, and workflows for psychiatry, primary care, or specialty practices.

Essential for healthcare software companies building niche medical documentation solutions with specialty-specific requirements.

Frequently Asked Questions

How quickly can I integrate Notetaker?

Notetaker deploys with a single Docker command and provides REST API endpoints immediately. Most developers can integrate basic transcription features in under an hour using our OpenAPI documentation.

Is Notetaker HIPAA compliant?

Notetaker can be configured for HIPAA compliance by using local models (WhisperX + Ollama) and deploying on your own infrastructure. No data leaves your servers when using the local processing mode.

What medical formats are supported?

Notetaker generates SOAP notes, HL7 CDA documents, plain text summaries, and custom formats. The Pydantic-based system makes it easy to add new medical documentation formats.

Can I customize the AI models?

Yes, Notetaker supports both local models (Ollama, WhisperX) and cloud APIs (OpenAI, Hugging Face). You can switch between different transcription and summarization models via configuration.

Does it support speaker diarization?

Yes, Notetaker includes speaker diarization and time alignment features. This helps distinguish between doctor and patient speech in medical consultations and interviews.

What are the hardware requirements?

Notetaker runs on CPU or GPU. For production workloads, we recommend GPU acceleration with CUDA 12.2+. The Docker environment handles all dependency management automatically.

Talk to us

Open-source healthcare AI tools for every developer

At Momentum, we believe healthcare AI shouldn't be locked behind enterprise paywalls or require PhD-level expertise to implement. That's why we build and open-source the tools that make medical AI accessible to every developer building healthcare applications.

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