> ## Documentation Index > Fetch the complete documentation index at: https://docs.tuteliq.ai/llms.txt > Use this file to discover all available pages before exploring further. # Analyze voice/audio for safety concerns with transcription > Upload an audio file (mp3, wav, m4a, ogg, flac, webm, mp4 — max 25MB) for automatic transcription followed by full safety analysis on the transcript. Returns timestamped segments, per-category analysis (bullying, grooming, unsafe, emotions), and an overall risk score. Ideal for monitoring voice chats, audio messages, and recorded conversations. ## OpenAPI ````yaml https://api.tuteliq.ai/docs/json post /api/v1/safety/voice openapi: 3.1.0 info: title: Tuteliq API description: > # AI-Powered Child Safety API You're building a chat feature for a kids' learning app. A user sends a message that looks innocuous on the surface but contains subtle grooming escalation patterns. Tuteliq catches it, scores the risk by the child's age group, and gives your trust & safety team an actionable report — all in under 400ms. One API call replaces months of in-house ML work. --- ## KOSA Harm Categories Coverage | Harm Category | Endpoint | Status | |--------------|----------|--------| | Eating Disorders | `/safety/unsafe` | ✅ Covered | | Substance Use | `/safety/unsafe` | ✅ Covered | | Suicidal Behaviors | `/safety/unsafe` | ✅ Covered | | Depression & Anxiety | `/safety/unsafe` + `/analysis/emotions` | ✅ Covered | | Compulsive Usage | `/safety/unsafe` | ✅ Covered | | Harassment & Bullying | `/safety/bullying` | ✅ Covered | | Sexual Exploitation | `/safety/grooming` + `/safety/unsafe` | ✅ Covered | | Voice & Audio Threats | `/safety/voice` | ✅ Covered | | Visual Content Risks | `/safety/image` | ✅ Covered | --- ## Key Features - **Age-Calibrated Severity** — Risk scores adjust across four age brackets (under 10, 10–12, 13–15, 16–17) so moderation matches developmental context. - **Nuanced Context Recognition** — Distinguishes hyperbolic teen language from genuine crisis signals, dramatically reducing false positives. - **Grooming Pattern Detection** — Identifies multi-stage grooming tactics: trust escalation, secrecy requests, isolation attempts, and boundary violations. - **Emotional Trend Analysis** — Tracks persistent mood patterns across conversations to surface early indicators of declining mental health. - **Voice & Image Analysis** — Upload audio or images for transcription, OCR, and full safety analysis in a single call. - **Real-time Voice Streaming** — WebSocket endpoint for live audio moderation with configurable flush intervals and per-category alerts. - **Guidance & Reports** — Generate age-appropriate action plans and professional incident reports ready for handoff to human reviewers. - **Batch Processing & Webhooks** — Analyze up to 50 items per batch call, with HMAC-signed webhook alerts for critical incidents. --- ## Credits per Action | Endpoint | Credits | Notes | |----------|---------|-------| | `detectBullying` | 1 | Single text analysis | | `detectUnsafe` | 1 | Single text analysis | | `detectGrooming` | 1 per 10 msgs | `ceil(messages / 10)`, min 1 | | `analyzeEmotions` | 1 per 10 msgs | `ceil(messages / 10)`, min 1 | | `getActionPlan` | 2 | Longer generation | | `generateReport` | 3 | Structured output | | `analyzeVoice` | 5 | Transcription + analysis | | `analyzeImage` | 3 | Vision + OCR + analysis | Every response includes a `credits_used` field. Credit balance is also available via the `X-Credits-Remaining` response header. --- ## Quick Start **1.** Get your API key at [tuteliq.ai/dashboard](https://tuteliq.ai/dashboard) **2.** Install the SDK: ```bash npm install @tuteliq/sdk ``` **3.** Make your first call: ```typescript import Tuteliq from '@tuteliq/sdk' const tuteliq = new Tuteliq({ apiKey: 'YOUR_API_KEY' }) const result = await tuteliq.detectUnsafe({ content: "Don't talk to your parents about us meeting up", context: { age_group: "13-15" } }) console.log(result.unsafe) // true console.log(result.categories) // ["grooming_adjacent", "secrecy"] console.log(result.severity) // "high" console.log(result.recommended_action) // "Escalate to moderator" ``` --- ## Performance | Metric | Value | |--------|-------| | Average latency | ~400ms | | p95 latency | ~800ms | | Uptime SLA | 99.9% | Check real-time status at [tuteliq.ai/status](https://tuteliq.ai/status) version: 1.0.0 contact: name: Tuteliq Support url: https://tuteliq.ai email: support@tuteliq.ai license: name: Proprietary url: https://tuteliq.ai/terms servers: - url: https://api.tuteliq.ai description: Production server - url: http://localhost:3000 description: Development server security: - bearerAuth: [] - apiKeyHeader: [] tags: - name: Safety description: >- Core detection endpoints for all nine KOSA harm categories. Supports text, voice, and image input with age-calibrated severity scoring. - name: Fraud description: >- Financial and social fraud detection — social engineering, app fraud, romance scams, and money mule recruitment. Identifies tactics targeting minors and vulnerable users with evidence-based scoring. - name: Safety Extended description: >- Extended safety detection — gambling harm, coercive control, vulnerability exploitation with cross-endpoint modifiers, and radicalisation. Requires Indie tier or above. - name: Analyse description: >- Multi-endpoint analysis. Fan-out a single text to up to 10 detection endpoints in parallel with aggregated results, vulnerability modifier support, and per-endpoint breakdowns. - name: Analysis description: >- Emotional intelligence endpoints. Analyze conversations for dominant emotions, sentiment trends (improving/stable/worsening), and early indicators of depression or anxiety. Designed to surface mental health risks before they escalate. - name: Guidance description: >- Post-detection action plans tailored by audience. Generate age-appropriate guidance for children, parents, or platform trust & safety teams — complete with reading-level calibration and tone adjustment. Goes beyond "here's a risk score" to answer "what do we do about it?" - name: Reports description: >- Professional incident report generation for schools, counselors, and moderators. Converts raw conversation data into structured reports with risk levels, categorized findings, and recommended next steps — ready for handoff to human reviewers. - name: Batch description: >- Analyze up to 50 items in a single request with optional parallel processing. Supports all analysis types (bullying, grooming, unsafe, emotions). Built for production pipelines that need to process backlogs or moderate content in bulk. - name: Webhooks description: >- Real-time notification endpoints for receiving alerts when critical incidents are detected. Full CRUD management with HMAC-SHA256 signed payloads, automatic retry on failure, secret regeneration, and test delivery — everything you need for production event-driven architectures. - name: Usage description: >- API usage tracking, quota monitoring, and rate limit status. View daily summaries, historical trends, per-tool breakdowns, and monthly billing period usage. Includes upgrade recommendations when approaching limits. - name: Policy description: >- Customize detection behavior for your use case. Configure sensitivity thresholds, category weights, and moderation rules without changing your integration code. - name: Pricing description: >- Public pricing plan information. Browse available tiers, features, and limits. The public endpoint requires no authentication; detailed plan info requires an API key. - name: Account description: >- GDPR-compliant account data management. Exercise the Right to Erasure (Article 17), Right to Data Portability (Article 20), and Right to Rectification (Article 16). Manage consent records and access your full audit trail. Available to all tiers — privacy is not a premium feature. - name: Compliance description: >- Public transparency endpoints for GDPR compliance. Machine-readable Data Processing Agreement (DPA), current sub-processor list, and data retention schedules. No authentication required — anyone can verify our data practices. - name: Admin description: >- Administrative endpoints for breach management and data retention. Log, track, and manage data breach incidents with full audit trails and notification status tracking. Trigger manual data retention cleanup when needed. - name: Health description: >- Health check and monitoring endpoints. Liveness and readiness probes for Kubernetes/Cloud Run, full dependency health checks, and detailed component status for debugging. - name: Status description: >- Public API status and uptime monitoring. Component-level health (API, database, cache, AI engine), uptime percentages, and an embeddable status page. Use /status/ping for external monitoring services like UptimeRobot. externalDocs: description: KOSA Compliance Documentation url: https://tuteliq.ai/docs/kosa-compliance paths: /api/v1/safety/voice: post: tags: - Safety summary: Analyze voice/audio for safety concerns with transcription description: >- Upload an audio file (mp3, wav, m4a, ogg, flac, webm, mp4 — max 25MB) for automatic transcription followed by full safety analysis on the transcript. Returns timestamped segments, per-category analysis (bullying, grooming, unsafe, emotions), and an overall risk score. Ideal for monitoring voice chats, audio messages, and recorded conversations. responses: '200': description: Default Response content: application/json: schema: type: object properties: file_id: type: string transcription: type: object properties: text: type: string language: type: string duration: type: number segments: type: array items: type: object properties: start: type: number end: type: number text: type: string analysis: type: object additionalProperties: true overall_risk_score: type: number overall_severity: type: string enum: - none - low - medium - high - critical detected: type: boolean description: >- A concern was observed at ANY severity, including monitor-only cases. For production branching prefer `recommended_action`. confidence: type: number description: Confidence in the overall verdict (0-1). recommended_action: type: string enum: - none - monitor - flag_for_review - block - immediate_intervention description: >- Routing key, weakest to strongest: `none`, `monitor`, `flag_for_review`, `block`, `immediate_intervention`. Safe to switch on. action_detail: type: string description: >- Human-readable expansion of `recommended_action` for a moderator UI. Free text: do not branch on it. rationale: type: string description: >- Why this verdict was reached. Built from category and severity labels only; never contains the transcript or media description. language: type: string description: >- Detected or specified language code. 27 supported languages: en is stable, the other 26 are beta (es, pt, uk, sv, no, da, fi, de, fr, nl, pl, it, tr, ro, el, cs, hu, bg, hr, sk, lt, lv, et, sl, mt, ga). language_status: type: string enum: - stable - beta description: >- Language support maturity: "stable" (en) or "beta" (all others) credits_used: type: number description: Number of credits consumed by this request external_id: type: string incident_moderation_enabled: type: string description: >- Per-call override of account incident logging: "true" forces persistence, "false" suppresses it. Omit for account default. customer_id: type: string metadata: type: object additionalProperties: true description: Echo of the metadata you provided in the request components: securitySchemes: bearerAuth: type: http scheme: bearer description: API key as Bearer token apiKeyHeader: type: apiKey in: header name: x-api-key description: API key in header ````