# Mureka | Create Podcast Mureka Create Podcast is an audio generation model that produces podcast-style spoken content from provided inputs. ## API Information - **Model Slug:** mureka-create-podcast - **Branded URL:** https://www.eachlabs.ai/mureka/mureka/mureka-create-podcast - **Provider:** Mureka - **Category:** Text to Voice - **Output Type:** object - **Status:** active - **Version:** 0.0.1 - **Base Cost:** TTS podcast: $6.90/hour of output audio (Mureka list). Prorated per second. - **Estimated Processing Time:** 15 seconds - **Last Updated:** 2026-08-16 - **Interactive Demo:** https://www.eachlabs.ai/ai-models/mureka-create-podcast ## Pricing - **Charge Type:** dynamic - **Pricing Details:** TTS podcast: $6.90/hour of output audio (Mureka list). Prorated per second. ### Pricing Rules | Condition | Pricing | | --- | --- | | Rule 1 | TTS podcast: $6.90/hour of output audio (Mureka list). Prorated per second. | ## Input Schema | Parameter | Type | Required | Default | Constraints | Description | |-----------|------|----------|---------|-------------|-------------| | conversations | array | No | - | 0–10 | Speaker limit: This model supports exactly 2 speakers (two Voice IDs). Requests with more than two speakers are not supported. | ## Example Request ```bash curl -X POST https://api.eachlabs.ai/v1/prediction/ \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "mureka-create-podcast", "input": {} }' ``` ## Output Schema Response returned by `GET /v1/prediction/{id}` when the job completes: ```json { "status": "success", "predictionID": "string", "output": "object", "metrics": { "predict_time": "number (seconds)" } } ``` ## Polling ```bash curl https://api.eachlabs.ai/v1/prediction/{PREDICTION_ID} \ -H "Authorization: Bearer YOUR_API_KEY" ``` | Status | Meaning | |--------|---------| | `processing` | Still running — poll again | | `success` | Done — read `output` | | `error` | Failed — read `message` / `details` | ## Webhook (alternative to polling) Pass `"webhook_url": "https://your.host/path"` in the create request. Eachlabs POSTs this payload when the job ends: ```json { "exec_id": "prediction-uuid", "status": "succeeded", "output": "https://...", "error": "" } ``` `status` is `"succeeded"` or `"failed"`. `exec_id` equals the `predictionID` from create. Return 2xx within 30 seconds. ## Errors Error body: `{ "status": "error", "message": "...", "details": "..." }` | Code | Meaning | |------|---------| | `400` | Invalid input | | `401` | Missing / invalid `Authorization` bearer token | | `404` | Unknown model or prediction id | | `429` | Rate limit — 100 creates / min, 10 concurrent per key | | `5xx` | Retry with backoff | ## Overview **mureka-create-podcast — Text-to-Voice AI Model** Developed by Mureka as part of the mureka family, **mureka-create-podcast** is a specialized text-to-voice AI model that generates realistic podcast-style spoken audio, enabling podcasters to produce full episodes with dual AI hosts from simple text inputs. This **text-to-voice AI model** stands out by supporting podcast-quality speech generation at $6.9 per hour via API, delivering natural dual-voice conversations ideal for automated content creation. Whether you're scripting interviews or monologues, **mureka-create-podcast** transforms text prompts into engaging audio, solving the need for quick, high-fidelity voiceovers without hiring talent. ## Usage Notes - API Base URL: `https://api.eachlabs.ai/v1` - Authentication: send `Authorization: Bearer YOUR_API_KEY`. Generate a key from the Eachlabs dashboard at https://www.eachlabs.ai/dashboard/api-keys. - File-typed parameters (`*_url`, `image_url`, `video_url`, `audio_url`, etc.) accept publicly-reachable HTTPS URLs only. Upload your asset first (GCS / S3 / your CDN) and pass the resulting URL. Data-URIs and localhost URLs are rejected. - For structured parameters (arrays / objects) send real JSON values, not stringified payloads. - Monetary values are reported in USD; per-token / per-megapixel rates may be billed in micro-cents internally. - Prefer `webhook_url` over polling for long-running predictions — see the Webhook Callback section.