# AI Medical Dictation Transcription Software > AI medical dictation transcription: exam findings, progress notes, and IME narratives turned into structured, cited text the same day, not the same week. Canonical page: https://medrecords.ai/product/ai-medical-dictation-transcription/ --- NewWe now read the actual MRI and CT imaging — not just the radiologist's 1-page report. [See how →](https://medrecords.ai/product/imaging/) [Home](https://medrecords.ai/) ›[Product](https://medrecords.ai/product/) › — Medical Dictation Transcription AI MEDICAL DICTATION TRANSCRIPTION ## Dictated notes, transcribed and structured — the same day, not the same week. AI medical dictation transcription from Medrecords AI turns audio dictation — exam findings, progress notes, IME narratives — into structured, cited text using the same context-aware model that reads handwriting. Every transcribed line traces back to its timestamp in the audio, so a finding can be checked against the recording it came from. [Test a file ](https://medrecords.ai/test-a-file/?src=product-ai-medical-dictation-transcription) [Book a demo](https://medrecords.ai/demo/) Adams, Timothy — right knee · Case #IME-4812 dictation.m4a 14 min Structured output Examination — right knee findings ts · cited History — 7 visits, improving since 4/02 ts · cited Template fields mapped 38 fields 14-min dictation → 2,140 words, structured & timestamp-cited 14 min → 2,140 dictated minutes to structured words, one pass 38 template fields mapped from a single dictation every line carries a timestamp citation back to the audio ### The audio sibling of handwriting extraction. Messy inputs are the platform's home turf. The same context-aware clinical model that deciphers handwritten notes and margin annotations listens to dictation: it knows the vocabulary, expects the shorthand, and understands that "ROM" in an ortho exam is not a typo. Audio is just another format it reads. Clinical vocabulary and shorthand handled natively Unclear audio flagged for review, never silently guessed [See Handwritten Record Extraction ](https://medrecords.ai/product/handwritten-medical-record-extraction/) One model, 2 hard inputs Handwriting Intake forms, margin notes, cursive progress notes — extracted with page citations. Dictation Exam findings, progress notes, IME narratives — transcribed with timestamp citations. Same clinical context engine, **same citation discipline** . IME report draft — sections 38 fields mapped History of present illness populated Physical examination — right knee populated Diagnostic impressions populated Unclear segment — flagged for review review Sections recognized from speech — **not a wall of text** . ### Structured output, not a transcript dump. A transcription service hands back a wall of words; someone still has to turn it into a note or report. Here the structure comes with the text: sections recognized from how clinicians actually dictate, terms normalized, and findings mapped onto your template's fields — 38 of them from one 14-minute dictation. Sections, headings, and fields recognized from speech Drops straight into report drafting on your template ### Dictation becomes part of the case, like any source. Once transcribed, the dictation is a first-class document in the file. Search it, question it in Medical Records Chat, and see its clinical events on the chronology next to the records — each line traceable to its audio timestamp the way a scanned page traces to its page number. Searchable and questionable alongside every record Exam findings land on the chronology, cited to the audio effusion results across sources Dictated exam — right knee audio · ts Progress note — treating clinic p.140 Imaging report — MRI, right knee cited One search, **every source** — audio included. Line-level provenance TIMESTAMP-CITED Structured line "Right knee examination documents improvement across the treatment course — 7 visits, improving since 4/02." ts Source: dictation audio 14 min Click the line, hear the moment it came from. The transcript never floats free of its source. The trust model ### Every line answers to its timestamp. An IME report gets challenged word by word, so the transcription behind it has to be auditable word by word. Every structured line cites the audio moment it came from — audit-grade, source-linked, and legally defensible when someone asks "where did this sentence come from?" And where the audio is genuinely unclear — crosstalk, a dropped word — the segment is flagged for the author's review. The examiner's words stay the examiner's words. ### From voice memo to structured draft. 3 steps — the report draft starts before the drive back from the exam ends. 01 Upload the audio Voice memo, handheld recorder file, or dictation-app export — dropped into the case like any document. 02 Transcribed & structured Sections recognized, clinical terms normalized, template fields mapped — every line timestamp-cited, unclear segments flagged. 03 Review and use The structured text drops into report drafting, chat, search, and the chronology — you approve the final words. ### Who dictates into it. Anyone whose findings start as voice and end as a document someone will challenge. [ Medical evaluators Dictate after the exam; the report draft is structured before the next appointment. For evaluators ](https://medrecords.ai/solutions/medical-evaluators/) [ Law firms Attorney memos and expert dictation land in the case file, searchable and cited. For law firms ](https://medrecords.ai/solutions/law-firms/) [ TPAs & case management Field case managers dictate visit notes that structure themselves into the claim file. For TPAs ](https://medrecords.ai/solutions/tpas/) [ Insurance carriers Peer-review and IME audio comes back as structured, auditable claim documentation. For carriers ](https://medrecords.ai/solutions/insurance-carriers/) FAQ ### Medical dictation transcription, answered. Yes — IME narratives are the flagship case. An evaluator dictates exam findings after the appointment, and the transcription comes back structured for the report: history, examination, findings, and opinion sections populated, with template fields mapped. A 14-minute dictation becomes roughly 2,140 words of structured text, mapped to 38 template fields, the same day rather than days later from a transcription service. A raw transcript is a wall of text someone still has to reorganize. Here the same context-aware model that structures handwritten records structures the audio: sections are recognized, clinical terms normalized, findings mapped to your template's fields. What comes back is working material — a draft note or report section — not a stenographic blob. Yes. Every line of structured text carries a timestamp citation back to the moment in the audio it came from, the same way text extracted from a scanned page cites its page number. Click a sentence, hear the source. Unclear audio segments are flagged for review rather than silently guessed. Yes — once transcribed, dictation becomes a first-class source like any document in the case: it is searchable, questionable in Medical Records Chat, and its clinical events can sit on the chronology alongside the rest of the record, each traceable to its audio timestamp. Common audio formats from the ways clinicians actually dictate — phone voice memos, handheld recorder files, and audio exported from dictation apps. Upload the file like any document; the platform routes audio to the transcription engine automatically. ### Related capabilities. The reading layer dictation joins, and the outputs it feeds. [ Handwritten Record Extraction The paper sibling: context-aware extraction of handwritten notes and margin annotations. Explore ](https://medrecords.ai/product/handwritten-medical-record-extraction/) [ IME Report Drafting Where the structured dictation lands: the examiner's report drafted from findings and the record. Explore ](https://medrecords.ai/product/ime-report-drafting/) [ Medical Records OCR The document reading layer — PDFs, scans, and faxes into clean, cited text. Explore ](https://medrecords.ai/product/ocr/) ### Hear your own dictation come back structured. Upload a dictation file and get back structured, timestamp-cited text the same day. Handled under our BAA; never used to train a model. [Test a file ](https://medrecords.ai/test-a-file/?src=product-ai-medical-dictation-transcription) [Book a demo](https://medrecords.ai/demo/) [All capabilities →](https://medrecords.ai/product/)