oruk Speech

Transcribe audio

oruk_transcribe_audio

Read-only

Transcribe prerecorded English audio to text with time-ordered segments and word timings. Use this when only the words matter. Accepts wav/flac/mp3/m4a/ogg/webm. Up to 30 MB via audio_url or 8 MiB decoded via audio_base64; up to 60 minutes of English speech. Does not score emotion or tone — use oruk_analyze_speech for transcript + tone together, or oruk_analyze_tone for tone alone.

Input Schema

TableJSON Schema

Name	Required	Description
`model`	No	oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (parallel transcript and native 15-label emotion, with the shared 16-label style model). Resonance is the default.
`detail`	No	compact (default) returns top label scores and condensed segments; full preserves all returned labels, segments, and word-level timings, subject to response-size limits. It does not expose unreturned label scores.
`api_key`	No	Only for temporary keys from oruk_create_trial_key. Permanent keys belong in your MCP client config as an "Authorization: Bearer <key>" header, never in tool arguments.
`diarize`	No	Label speakers (oruk-resonance only; the model is switched to oruk-resonance automatically). Speaker diarization locates turns, then Resonance scores each turn with its own text, emotions, and styles. Use for calls, meetings, and interviews. Included in subscription plan minutes. Processing details: https://oruk.ai/security#processing.
`filename`	No	Original filename including extension (e.g. call.wav). Helps decoding when audio_base64 is used.
`audio_url`	No	Publicly fetchable audio file URL (wav, flac, mp3, m4a, ogg, webm; up to 30 MB / 60 minutes of English speech).
`audio_base64`	No	Base64-encoded audio bytes for local files (up to 8 MiB decoded). Prefer audio_url for anything larger.

Schema Changelog

Changes observed during successful MCP inspections.

Changed4 schema fields changedSep 12, 2026

changedInput schema / properties / audio_base64 / description

Previous value: -"Base64-encoded audio bytes for local files (up to 8 MB decoded). Prefer audio_url for anything larger."New value: +"Base64-encoded audio bytes for local files (up to 8 MiB decoded). Prefer audio_url for anything larger."

changedInput schema / properties / detail / description

Previous value: -"compact (default) returns top label scores and condensed segments; full adds every label score and word-level timings."New value: +"compact (default) returns top label scores and condensed segments; full preserves all returned labels, segments, and word-level timings, subject to response-size limits. It does not expose unreturned label scores."

changedInput schema / properties / diarize / description

Previous value: -"Label speakers (oruk-resonance only; the model is switched to oruk-resonance automatically). Speakers are located with pyannoteAI diarization, then Resonance scores each speaker turn, so every segment carries a speaker field with its own text, emotions, and styles. Use for calls, meetings, and interviews. Included in plan minutes; legacy metered accounts retain their agreed rates."New value: +"Label speakers (oruk-resonance only; the model is switched to oruk-resonance automatically). Speaker diarization locates turns, then Resonance scores each turn with its own text, emotions, and styles. Use for calls, meetings, and interviews. Included in subscription plan minutes. Processing details: https://oruk.ai/security#processing."

changedInput schema / properties / model / description

Previous value: -"oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (transcript plus native 15-label emotion)."New value: +"oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (parallel transcript and native 15-label emotion, with the shared 16-label style model). Resonance is the default."

Changed4 schema fields changedSep 12, 2026

changedInput schema / properties / audio_base64 / description

Previous value: -"Base64-encoded audio bytes for local files (up to 8 MiB decoded). Prefer audio_url for anything larger."New value: +"Base64-encoded audio bytes for local files (up to 8 MB decoded). Prefer audio_url for anything larger."

changedInput schema / properties / detail / description

Previous value: -"compact (default) returns top label scores and condensed segments; full preserves all returned labels, segments, and word-level timings, subject to response-size limits. It does not expose unreturned label scores."New value: +"compact (default) returns top label scores and condensed segments; full adds every label score and word-level timings."

changedInput schema / properties / diarize / description

Previous value: -"Label speakers (oruk-resonance only; the model is switched to oruk-resonance automatically). Speaker diarization locates turns, then Resonance scores each turn with its own text, emotions, and styles. Use for calls, meetings, and interviews. Included in subscription plan minutes. Processing details: https://oruk.ai/security#processing."New value: +"Label speakers (oruk-resonance only; the model is switched to oruk-resonance automatically). Speakers are located with pyannoteAI diarization, then Resonance scores each speaker turn, so every segment carries a speaker field with its own text, emotions, and styles. Use for calls, meetings, and interviews. Included in plan minutes; legacy metered accounts retain their agreed rates."

changedInput schema / properties / model / description

Previous value: -"oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (parallel transcript and native 15-label emotion, with the shared 16-label style model). Resonance is the default."New value: +"oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (transcript plus native 15-label emotion)."

Changed2 schema fields changedSep 7, 2026

changedInput schema / properties / audio_base64 / description

Previous value: -"Base64-encoded audio bytes for local files (up to 8 MB decoded). Prefer audio_url for anything larger."New value: +"Base64-encoded audio bytes for local files (up to 8 MiB decoded). Prefer audio_url for anything larger."

changedInput schema / properties / detail / description

Previous value: -"compact (default) returns top label scores and condensed segments; full adds every label score and word-level timings."New value: +"compact (default) returns top label scores and condensed segments; full preserves all returned labels, segments, and word-level timings, subject to response-size limits. It does not expose unreturned label scores."

Changed2 schema fields changedSep 7, 2026

changedInput schema / properties / diarize / description

Previous value: -"Label speakers (oruk-resonance only; the model is switched to oruk-resonance automatically). Speakers are located with pyannoteAI diarization, then Resonance scores each speaker turn, so every segment carries a speaker field with its own text, emotions, and styles. Use for calls, meetings, and interviews. Included in plan minutes; legacy metered accounts retain their agreed rates."New value: +"Label speakers (oruk-resonance only; the model is switched to oruk-resonance automatically). Speaker diarization locates turns, then Resonance scores each turn with its own text, emotions, and styles. Use for calls, meetings, and interviews. Included in subscription plan minutes. Processing details: https://oruk.ai/security#processing."

changedInput schema / properties / model / description

Previous value: -"oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (transcript plus native 15-label emotion)."New value: +"oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (parallel transcript and native 15-label emotion, with the shared 16-label style model). Resonance is the default."

Changed2 schema fields changedSep 7, 2026

changedInput schema / properties / diarize / description

Previous value: -"Label speakers (oruk-resonance only; the model is switched to oruk-resonance automatically). Speaker diarization locates turns, then Resonance scores each turn with its own text, emotions, and styles. Use for calls, meetings, and interviews. Included in subscription plan minutes. Processing details: https://oruk.ai/security#processing."New value: +"Label speakers (oruk-resonance only; the model is switched to oruk-resonance automatically). Speakers are located with pyannoteAI diarization, then Resonance scores each speaker turn, so every segment carries a speaker field with its own text, emotions, and styles. Use for calls, meetings, and interviews. Included in plan minutes; legacy metered accounts retain their agreed rates."

changedInput schema / properties / model / description

Previous value: -"oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (parallel transcript and native 15-label emotion, with the shared 16-label style model). Resonance is the default."New value: +"oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (transcript plus native 15-label emotion)."

Changed1 schema field changedSep 7, 2026

changedInput schema / properties / diarize / description

Previous value: -"Label speakers (oruk-resonance only; the model is switched to oruk-resonance automatically). Speakers are located with pyannoteAI diarization, then Resonance scores each speaker turn, so every segment carries a speaker field with its own text, emotions, and styles. Use for calls, meetings, and interviews. Included in plan minutes; legacy metered accounts retain their agreed rates."New value: +"Label speakers (oruk-resonance only; the model is switched to oruk-resonance automatically). Speaker diarization locates turns, then Resonance scores each turn with its own text, emotions, and styles. Use for calls, meetings, and interviews. Included in subscription plan minutes. Processing details: https://oruk.ai/security#processing."

Changed1 schema field changedSep 6, 2026

changedInput schema / properties / model / description

Previous value: -"oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (transcript plus native 15-label emotion)."New value: +"oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (parallel transcript and native 15-label emotion, with the shared 16-label style model). Resonance is the default."

Changed2 schema fields changedSep 6, 2026

changedInput schema / properties / diarize / description

Previous value: -"Label speakers (oruk-resonance only; the model is switched to oruk-resonance automatically). Speakers are located with pyannoteAI diarization, then Resonance scores each speaker turn, so every segment carries a speaker field with its own text, emotions, and styles. Use for calls, meetings, and interviews. Adds $0.0040 per audio minute."New value: +"Label speakers (oruk-resonance only; the model is switched to oruk-resonance automatically). Speakers are located with pyannoteAI diarization, then Resonance scores each speaker turn, so every segment carries a speaker field with its own text, emotions, and styles. Use for calls, meetings, and interviews. Included in plan minutes; legacy metered accounts retain their agreed rates."

changedInput schema / properties / model / description

Previous value: -"oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (parallel transcript and native 15-label emotion, with the shared 16-label style model). Resonance is the default."New value: +"oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (transcript plus native 15-label emotion)."

Changed1 schema field changedSep 6, 2026

changedInput schema / properties / model / description

Previous value: -"oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (transcript plus native 15-label emotion)."New value: +"oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (parallel transcript and native 15-label emotion, with the shared 16-label style model). Resonance is the default."

Changed3 schema fields changedSep 5, 2026

addedInput schema / properties / diarize

Added value: +{
+  "description": "Label speakers (oruk-resonance only; the model is switched to oruk-resonance automatically). Speakers are located with pyannoteAI diarization, then Resonance scores each speaker turn, so every segment carries a speaker field with its own text, emotions, and styles. Use for calls, meetings, and interviews. Adds $0.0040 per audio minute.",
+  "type": "boolean"
+}

changedInput schema / properties / model / description

Previous value: -"oruk-resonance (default for transcription/analysis, highest accuracy) or oruk-spectra-1 (default for tone, most efficient)."New value: +"oruk-resonance (full local pipeline: transcription, emotion, style, affect, analysis) or oruk-fourier (transcript plus native 15-label emotion)."

changedInput schema / properties / model / enum

Previous value: -[
-  "oruk-spectra-1",
-  "oruk-resonance"
-]New value: +[
+  "oruk-resonance",
+  "oruk-fourier"
+]

Changed2 schema fields changedAug 25, 2026

changedInput schema / properties / model / description

Previous value: -"oruk-fourier (transcript plus native 15-label emotion), oruk-resonance (full local pipeline), or oruk-spectra-1 (efficient tone analysis)."New value: +"oruk-resonance (default for transcription/analysis, highest accuracy) or oruk-spectra-1 (default for tone, most efficient)."

changedInput schema / properties / model / enum

Previous value: -[
-  "oruk-spectra-1",
-  "oruk-resonance",
-  "oruk-fourier"
-]New value: +[
+  "oruk-spectra-1",
+  "oruk-resonance"
+]

Changed2 schema fields changedAug 25, 2026

changedInput schema / properties / model / description

Previous value: -"oruk-resonance (default for transcription/analysis, highest accuracy) or oruk-spectra-1 (default for tone, most efficient)."New value: +"oruk-fourier (transcript plus native 15-label emotion), oruk-resonance (full local pipeline), or oruk-spectra-1 (efficient tone analysis)."

changedInput schema / properties / model / enum

Previous value: -[
-  "oruk-spectra-1",
-  "oruk-resonance"
-]New value: +[
+  "oruk-spectra-1",
+  "oruk-resonance",
+  "oruk-fourier"
+]

Changed2 schema fields changedAug 25, 2026

changedInput schema / properties / model / description

Previous value: -"oruk-fourier (transcript plus native 15-label emotion), oruk-resonance (full local pipeline), or oruk-spectra-1 (efficient tone analysis)."New value: +"oruk-resonance (default for transcription/analysis, highest accuracy) or oruk-spectra-1 (default for tone, most efficient)."

changedInput schema / properties / model / enum

Previous value: -[
-  "oruk-spectra-1",
-  "oruk-resonance",
-  "oruk-fourier"
-]New value: +[
+  "oruk-spectra-1",
+  "oruk-resonance"
+]

Changed2 schema fields changedAug 24, 2026

changedInput schema / properties / model / description

Previous value: -"oruk-resonance (default for transcription/analysis, highest accuracy) or oruk-spectra-1 (default for tone, most efficient)."New value: +"oruk-fourier (transcript plus native 15-label emotion), oruk-resonance (full local pipeline), or oruk-spectra-1 (efficient tone analysis)."

changedInput schema / properties / model / enum

Previous value: -[
-  "oruk-spectra-1",
-  "oruk-resonance"
-]New value: +[
+  "oruk-spectra-1",
+  "oruk-resonance",
+  "oruk-fourier"
+]

First observedAug 9, 2026

TDQS

A4.2/5.0

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful limits (30 MB URL, 8 MiB base64, 60 minutes, English-only) and clarifies what the tool does NOT do ('Does not score emotion or tone'). It could add more about output truncation or processing behavior, but it does not contradict annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, all dense with decision-relevant information. The main purpose is front-loaded, constraints follow, and the sibling distinction closes the description. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 100% schema coverage, detailed annotations, and no output schema, the description covers the core usage decision (when to use, what it accepts, what it doesn't do). It could mention the response format/pagination, but the schema and annotations already handle the rest. Minor gap only.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all 7 parameters in detail. The description adds the overall file-format and size constraints context, but it does not need to explain each parameter because the schema does. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Transcribe'), resource ('prerecorded English audio'), and output ('time-ordered segments and word timings'). Distinguishes itself from sibling tools by naming oruk_analyze_speech and oruk_analyze_tone and what they do differently. An agent can tell exactly what this tool does without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Use this when only the words matter' and names alternatives: use oruk_analyze_speech for transcript + tone together, or oruk_analyze_tone for tone alone. This is the ideal when/when-not guidance an agent needs to select among siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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