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Introduction

The Nabla Core API provides advanced tools to transcribe medical encounters, generate structured clinical notes, extract FHIR-normalized data, and more — all optimized for clinical workflows and seamless integration.

Whether you’re building a telehealth platform, an EHR, or a voice-enabled documentation tool, the Nabla Core API is designed to help you go from raw audio to structured data with minimal effort.

Core capabilities​

🩺 Medical encounter transcription​

Transcribe doctor–patient conversations using a medical-grade speech-to-text engine, fine-tuned to recognize terminology like medications, symptoms, and diagnoses.

📝 Clinical note generation​

Transform a transcript into a well-structured clinical note using medical templates like SOAP, APSO, or WCC.

  • Supports synchronous and asynchronous workflows.
  • Customize per-section content, format (paragraphs vs bullet points), and level of detail.
  • Add patient context or enrich an existing note incrementally.

✏️ Edit note with instructions​

Also known as Magic Edit, this feature lets you refine a Nabla-generated clinical note using natural language instructions.

  • Provide short, human-readable guidance like "Make note more concise" or "Add more details in the Plan section".
  • The original transcript and note are used as context to ensure accurate and relevant edits.
  • Great for last-mile customization or for incorporating provider feedback post-generation.

📋 Patient-friendly instructions​

Generate post-visit summaries written in patient-friendly language.

  • Supports pediatric contexts via recipient_type (e.g., "PARENT").
  • Multi-language support with localized output.

🧠 Normalize structured data​

Extract FHIR-compatible structured data from a Nabla-generated clinical note:

  • Extract conditions with ICD-10 codes.
  • Capture family history and patient observations with LOINC codes.
  • Output aligns with EHR-ready formats for seamless integration.

🎙️ Medical dictation​

Accurately transcribe dictated speech in real-time, optionally including dictated punctuation:

  • Supports both real-time (WebSocket) and asynchronous use cases.
  • Ideal for physician notes, documentation, and internal summaries.

⚡️ Dot Phrases​

Automatically detect and suggest Dot Phrases — provider-defined macros that expand into structured sections during note generation.

  • Triggered based on transcript content (e.g., if the provider says "Your physical exam is normal").
  • Each Dot Phrase defines a trigger and a replacement block of text.
  • Optionally, Dot Phrases can auto-adapt based on the encounter context:
    • If content_auto_update_enabled is set to true, the suggested content will be dynamically refined based on the transcript.
    • For example, the engine may adjust a standard exam note to mention exceptions or emphasize relevant findings from the encounter.

📚 Custom dictionary​

Add user-specific terms to improve transcription accuracy in specialized contexts.

  • Useful for names of organizations, local procedures, or uncommon acronyms specific to your workflows.
  • Helps ensure consistent recognition of expressions that aren’t part of the default medical vocabulary.

🗳️ Report feedback​

Submit structured feedback on generated content to the support team for review.

  • Report issues with clinical notes, patient instructions, or normalized data.
  • Optionally include corrected output and comments from the provider.
  • This helps us automate user feedback and ensure the API maintains the highest possible quality.
  • If a reply_to email is provided, the support team may reach out for clarification or follow-up.
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Sample app

To see an example of the API in action, check out our sample-app repository for real-world examples (JavaScript).

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OpenAPI specs

Download our OpenAPI specs to use in tools like Postman or Swagger:

Note that WebSocket endpoints are not included in these files.