> ## Documentation Index > Fetch the complete documentation index at: https://docs.modulate.ai/llms.txt > Use this file to discover all available pages before exploring further. # AI Music Detection Batch > Detect AI-generated music in an audio file. Returns a clip-level verdict plus a per-window breakdown of vocal and instrumental AI content. ## OpenAPI ````yaml api/velma_2_ai_music_detection_batch.yaml POST /api/velma-2-ai-music-detection-batch openapi: 3.1.0 info: title: Velma 2 AI Music Detection Batch API description: > Batch endpoint for detecting AI-generated music in audio files via HTTP POST. The clip is analysed as a sequence of windows; each window is independently scored for AI-generated vocals and AI-generated instrumental content whenever it has enough of the corresponding content to score, and the per-window results are aggregated into a clip-level verdict. ## Performance Notes - Per-window results can be less accurate than the clip-level verdict. Use `primary_verdict` when classifying an entire uploaded song or segment. - Heavily processed or high-production songs may be incorrectly labeled as AI-generated; this is a known gap targeted by future updates to this model. version: 1.0.0 servers: - url: https://platform.modulate.ai description: Modulate AI Music Detection Batch Server security: - ApiKeyAuth: [] paths: /api/velma-2-ai-music-detection-batch: post: summary: Detect AI-generated music in an audio file description: | Accepts an audio file and returns a clip-level verdict on whether the content contains AI-generated music, along with a per-window breakdown of how each segment was classified. operationId: detectAIMusic requestBody: required: true content: multipart/form-data: schema: type: object required: - upload_file properties: upload_file: type: string format: binary description: | Audio file to analyse. Must be non-empty. Supported formats: `.3g2`, `.3ga`, `.3gp`, `.3gpp`, `.8svx`, `.aa3`, `.aac`, `.ac3`, `.act`, `.adts`, `.aif`, `.aifc`, `.aiff`, `.alac`, `.amb`, `.amr`, `.ape`, `.asf`, `.at3`, `.au`, `.avi`, `.avr`, `.awb`, `.bwf`, `.c2`, `.caf`, `.dss`, `.dts`, `.dtshd`, `.eac3`, `.ec3`, `.f4a`, `.f4b`, `.flac`, `.flv`, `.gsm`, `.iff`, `.m2a`, `.m2ts`, `.m4a`, `.m4b`, `.m4r`, `.m4v`, `.mka`, `.mkv`, `.mlp`, `.mmf`, `.mov`, `.mp+`, `.mp1`, `.mp2`, `.mp3`, `.mp4`, `.mpa`, `.mpc`, `.mpeg`, `.mpg`, `.mpga`, `.mpp`, `.mts`, `.mxf`, `.nist`, `.oga`, `.ogg`, `.ogx`, `.oma`, `.omg`, `.opus`, `.paf`, `.pvf`, `.qcp`, `.ra`, `.rf64`, `.rka`, `.rm`, `.rmvb`, `.sf`, `.shn`, `.snd`, `.sph`, `.svx`, `.tak`, `.thd`, `.ts`, `.tta`, `.vob`, `.voc`, `.vqf`, `.w64`, `.wav`, `.wave`, `.weba`, `.webm`, `.wma`, `.wmv`, `.wv`. Maximum file size: 100 MB. responses: '200': description: Detection completed successfully. content: application/json: schema: $ref: '#/components/schemas/AIMusicDetectionResponse' example: filename: my_audio.mp3 duration_s: 89.28 primary_verdict: ai-vocal-music vocal_percentage: 87.5 vocal_ai_percentage: 56.5 vocal_ai_confidence: 0.96 instrumental_percentage: 64.3 instrumental_ai_percentage: 10.5 instrumental_ai_confidence: 0.95 silence_percentage: 3.51 windows: - start_time_ms: 0 end_time_ms: 4000 vocal_percentage: 100 vocal_ai_probability: 0.97 vocal_ai_confidence: 0.97 instrumental_percentage: 79 instrumental_ai_probability: 0.42 instrumental_ai_confidence: 0.16 silence_percentage: 0 - start_time_ms: 4000 end_time_ms: 8000 vocal_percentage: 0 vocal_ai_probability: null vocal_ai_confidence: null instrumental_percentage: 82 instrumental_ai_probability: 0.88 instrumental_ai_confidence: 0.76 silence_percentage: 18 latency_ms: 1333 '400': description: > Bad request - the uploaded file is empty or its format is not supported. content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' examples: invalid_format: summary: Invalid file format value: detail: >- Unsupported file format. Supported formats: .3g2, .3ga, .3gp, .3gpp, .8svx, .aa3, .aac, .ac3, .act, .adts, .aif, .aifc, .aiff, .alac, .amb, .amr, .ape, .asf, .at3, .au, .avi, .avr, .awb, .bwf, .c2, .caf, .dss, .dts, .dtshd, .eac3, .ec3, .f4a, .f4b, .flac, .flv, .gsm, .iff, .m2a, .m2ts, .m4a, .m4b, .m4r, .m4v, .mka, .mkv, .mlp, .mmf, .mov, .mp+, .mp1, .mp2, .mp3, .mp4, .mpa, .mpc, .mpeg, .mpg, .mpga, .mpp, .mts, .mxf, .nist, .oga, .ogg, .ogx, .oma, .omg, .opus, .paf, .pvf, .qcp, .ra, .rf64, .rka, .rm, .rmvb, .sf, .shn, .snd, .sph, .svx, .tak, .thd, .ts, .tta, .vob, .voc, .vqf, .w64, .wav, .wave, .weba, .webm, .wma, .wmv, .wv. empty_file: summary: Empty file value: detail: The uploaded file is empty. '401': description: Unauthorized - the API key is missing or invalid. content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' examples: missing_api_key: summary: Missing API key value: detail: Missing API key. invalid_api_key: summary: Invalid API key value: detail: Invalid API key. '403': description: > Forbidden - the request is not permitted, or the API key does not have access to this model. content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' examples: not_permitted: summary: Request not permitted value: detail: This request is not permitted. model_access_denied: summary: No access to this model value: detail: This API key does not have access to this model. '413': description: Payload too large - the uploaded file exceeds the maximum file size. content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: detail: The uploaded file is too large. '422': description: > Unprocessable entity - a required request parameter is missing or invalid (for example, the `upload_file` field). content: application/json: schema: $ref: '#/components/schemas/HTTPValidationError' examples: invalid_upload_file: value: detail: - loc: - body - upload_file msg: Field required type: missing '429': description: > Too many requests - the request was denied due to insufficient credits, a concurrent request limit, or a monthly usage limit. content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' examples: insufficient_credits: summary: Insufficient credits value: detail: Insufficient credits. concurrency_limit: summary: Concurrent request limit reached value: detail: >- Concurrent request limit reached. Please retry after your in-flight requests complete. monthly_limit: summary: Monthly usage limit reached value: detail: Monthly usage limit reached. '500': description: Internal server error during processing. content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: detail: Internal server error '502': description: Bad gateway - the request could not be completed. content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' example: detail: Unable to complete the request. Please try again. security: - ApiKeyAuth: [] components: schemas: AIMusicDetectionResponse: type: object required: - filename - duration_s - primary_verdict - vocal_percentage - vocal_ai_percentage - vocal_ai_confidence - instrumental_percentage - instrumental_ai_percentage - instrumental_ai_confidence - silence_percentage - windows - latency_ms properties: filename: type: string description: > Name of the submitted audio file. Empty string if no filename was provided in the upload. example: my_audio.mp3 duration_s: type: number format: double minimum: 0 description: Total duration of the analysed audio in seconds. example: 89.28 primary_verdict: type: string enum: - ai-vocal-music - ai-instrumental - not-ai-music description: | Clip-level classification: - `ai-vocal-music` - AI-generated music with a detected synthetic voice (covers AI songs and AI synthetic vocal tracks). - `ai-instrumental` - AI-generated instrumental music with no detectable synthetic voice. - `not-ai-music` - the clip does not appear to contain AI-generated music. example: ai-vocal-music vocal_percentage: type: number format: double minimum: 0 maximum: 100 description: > Clip-level average percentage of the audio that contains vocal content, averaged across all windows. example: 87.5 vocal_ai_percentage: type: number format: double minimum: 0 maximum: 100 description: > Clip-level AI-vocal score, on a 0-100 scale: each scored window's probability-weighted duration as a percentage of the full clip duration. Windows without enough vocal content to score contribute zero to the numerator but their duration still counts toward the total, so a clip that is mostly instrumental with only a brief, confidently-synthetic vocal patch does not read as overwhelmingly AI-vocal. example: 56.5 vocal_ai_confidence: type: number format: double minimum: 0 maximum: 1 description: > Average confidence across all windows that were scored for AI-generated vocals. Not diluted by windows without enough vocal content to score. example: 0.89 instrumental_percentage: type: number format: double minimum: 0 maximum: 100 description: > Clip-level average percentage of the audio that contains instrumental music content, averaged across all windows. example: 64.3 instrumental_ai_percentage: type: number format: double minimum: 0 maximum: 100 description: > Clip-level AI-instrumental score, on a 0-100 scale: the duration-weighted average of each scored window's AI-instrumental probability. Windows that are mostly silence do not contribute. example: 10.5 instrumental_ai_confidence: type: number format: double minimum: 0 maximum: 1 description: > Average confidence across all windows that were scored for AI-generated instrumental content. Zero if no window was scored. example: 0.95 silence_percentage: type: number format: double minimum: 0 maximum: 100 description: > Clip-level average percentage of the audio that contains neither vocal nor instrumental content, averaged across all windows. example: 3.51 windows: type: array items: $ref: '#/components/schemas/WindowPrediction' description: Per-window breakdown of detection results. latency_ms: type: number format: double minimum: 0 description: End-to-end inference time in milliseconds. example: 1333 ErrorResponse: type: object required: - detail properties: detail: type: string description: Human-readable error message. HTTPValidationError: type: object properties: detail: type: array items: $ref: '#/components/schemas/ValidationError' WindowPrediction: type: object required: - start_time_ms - end_time_ms - vocal_percentage - vocal_ai_probability - vocal_ai_confidence - instrumental_percentage - instrumental_ai_probability - instrumental_ai_confidence - silence_percentage properties: start_time_ms: type: integer minimum: 0 description: Window start time in milliseconds. example: 0 end_time_ms: type: integer minimum: 0 description: Window end time in milliseconds. example: 4000 vocal_percentage: type: number format: double minimum: 0 maximum: 100 description: | Percentage of this window that contains vocal content. example: 100 vocal_ai_probability: type: - number - 'null' minimum: 0 maximum: 1 description: > Probability that this window contains AI-generated vocals. `null` if the window does not have enough vocal content to score - independent of `instrumental_ai_probability`, so a window can carry both, one, or neither. example: 0.97 vocal_ai_confidence: type: - number - 'null' minimum: 0 maximum: 1 description: > Confidence in `vocal_ai_probability`. `null` under the same conditions as that field. example: 0.97 instrumental_percentage: type: number format: double minimum: 0 maximum: 100 description: | Percentage of this window that contains instrumental music content. example: 79 instrumental_ai_probability: type: - number - 'null' minimum: 0 maximum: 1 description: > Probability that this window contains AI-generated instrumental content. `null` if the window is mostly silence - independent of `vocal_ai_probability`, so a window can carry both, one, or neither. example: 0.42 instrumental_ai_confidence: type: - number - 'null' minimum: 0 maximum: 1 description: > Confidence in `instrumental_ai_probability`. `null` under the same conditions as that field. example: 0.16 silence_percentage: type: number format: double minimum: 0 maximum: 100 description: > Percentage of this window that contains neither vocal nor instrumental content. example: 0 ValidationError: type: object required: - loc - msg - type properties: loc: type: array items: anyOf: - type: string - type: integer msg: type: string type: type: string securitySchemes: ApiKeyAuth: type: apiKey in: header name: X-API-Key description: API key used for authentication and usage tracking. ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.