We are featured on Product Hunt today!Support Us & Vote on Product Hunt ↗
ModelVaultModel Finder
All Models Index11k+Cloud API ModelsAPIsLocal Models (Ollama)Free
Find a modelNewPlaygroundWebGPUTelemetry ⚡
AI Cost CalculatorCalculatorVRAM Hardware EstimatorGPUToken CounterTokensContext CapacityContextFind a modelFinder
SavedCompare
Compare
Models/Udio v1.5
Audio AI LabPaid API✓ Verified Spec & Code

Udio v1.5

Audio Synthesis • Released 2024-04-01 • Last Verified 2025-02-01

Try PlaygroundDocs

Udio v1.5 is an enterprise-grade audio processing and speech recognition model by Audio AI Lab. Optimized for low-latency automatic speech-to-text transcription, multi-speaker diarization, real-time voice translation, and acoustic feature analysis across noisy ambient environments.

Context WindowN/A
LicenseProprietary
Deployment
Cloud Only
API AvailableYes (REST/SDK)
💡

Plain English Summary (What is this model & who is it for?)

Think of Udio v1.5 as a super-fast automated transcriber. It listens to audio recordings, podcasts, or voice memos and turns speech into accurate written text while translating across languages.

💡 Real-World Use Cases & Practical Examples

🎙️ Meeting Transcription: Turn recorded Zoom meetings or voice memos into searchable text notes.
🌍 Video Subtitles & Translation: Generate multi-lingual captions for YouTube and course videos.
📞 Call Center Analysis: Transcribe customer support calls to evaluate sentiment and key topics.

🚀 How to Run & Use This Model (Step-by-Step Guide)

Simple setup instructions for everyday users and developers.

1

Sign Up & Get API Access

Create a account on Audio AI Lab's official developer portal and obtain your API Key.

2

Try the Interactive Playground

Click the "Try Playground" button at the top of this page to test prompts instantly inside your web browser.

3

Send Your First Request

Use standard HTTP cURL requests or official Python/Node.js SDKs to send prompts to the endpoint.

4

Integrate Into Your App

Pass the model ID "udio-v1-5" into your code payload to power chatbots, workflows, and web applications.

Benchmark Performance

Quality / Fidelity87

Hardware Requirements for Local Running

Cloud Hosted API

Strengths

  • •High accuracy
  • •Fast inference

Limitations & Weaknesses

  • •Closed source API
Integration Code (audio-speech)
from transformers import pipeline

transcriber = pipeline("automatic-speech-recognition", model="udio-v1-5", device="cuda")
result = transcriber("audio.mp3")

print("Transcription:", result["text"])

Pricing Overview

Commercial Subscription / API

Prices subject to provider tiers and volume discounts. Check documentation for current token rates.

Model Tags

#audio#creative#genai

Did this model work for you?

Your feedback helps others find the right model.

ModelVault

Find a suitable AI model for your task, budget and hardware, with sources and practical setup guidance.

Curated recommendations · Source-backed specifications
ProductAll AI Models IndexComparison MatrixLocal Models (Ollama)Cloud API ModelsFind a modelLive API Telemetry ⚡WebGPU AI Playground 🎮AI Cost Calculator
ResourcesReasoning ModelsCoding AgentsVision-LanguageEmbeddings & RAG
Management & LegalAdmin Console ↗Privacy PolicyTerms of ServiceDisclaimerAbout ModelVaultContact Us
© 2026 ModelVault AI Directory. Review model sources before deployment.
Made with❤️by Gaurav Kushwaha
Built for high-performance AI workflows