> ## Documentation Index > Fetch the complete documentation index at: https://docs.alpha.isaree.ai/llms.txt > Use this file to discover all available pages before exploring further. # Scribe > An AI documentation tool that listens to your consultation and structures the clinical record for you. The **Scribe** is a documentation tool built into [Patient Chat](/isa/patient-chat). It removes the need to type clinical notes during or after a consultation by listening to the spoken exchange, separating the speakers, extracting the clinically relevant information, and restructuring it into a predefined documentation template. The Scribe does not simply transcribe everything that was said. It works in up to three sequential steps — transcription, optional diarization, and extraction — to produce a structured, reviewable clinical note. ## What Scribe does during a consultation Scribe runs inside Patient Chat. When you start a recording, Scribe captures the full audio in the background without interrupting the consultation. Recordings are processed in smaller chunks, which keeps memory use stable — a session can run as long as the visit does, even for very long consultations. When you stop, the recording moves through up to three sequential stages: 1. **Transcription** — An [ASR model](/concepts/asr-models) converts the audio to text. 2. **Diarization (optional)** — A [diarization model](/concepts/diarization-models) separates the speakers so the output distinguishes the clinician's contributions from the patient's. 3. **Extraction** — An [LLM](/concepts/llms-vlms) reorganizes the transcript into a predefined Extraction Template — for example, a SOAP note, a referral summary, or a medication review form. Templates aren't limited to flat fields; they can nest objects and arrays, like a medication list with a name, dose, and frequency per entry. The structured note is then written into Patient Chat for that patient, ready for review and correction. ## Why it matters for clinicians * **Uninterrupted consultations:** You can give the patient your full attention throughout the encounter, rather than dividing your focus between the patient and the keyboard. * **Consistent documentation:** Because the output follows a predefined template, notes are structured consistently across all clinicians and all encounters, improving the quality of the clinical record. * **Reduced after-hours burden:** Documentation that would otherwise be completed after clinic hours is handled automatically during the encounter, returning time to clinicians at the end of the working day. ## Next Create a Scribe Agent on the [Community Hub](https://alpha.isaree.ai/en/community) and configure its Extraction Template. Train a custom ASR model tuned to your specialty's vocabulary.