Alvoff Inference - Fast, cheap STT · TTS
Alvoff Inference is a pay-as-you-go, OpenAI-compatible API for fast, low-cost speech-to-text, text-to-speech, embeddings, and lightweight chat/code models—designed as a drop-in base-URL swap with free signup credits and no subscription.
https://inference.alvoff.ai/?ref=producthunt
Product Information
Updated:Jul 6, 2026
What is Alvoff Inference - Fast, cheap STT · TTS
Alvoff Inference is an inference platform that exposes self-hosted speech and language models behind an OpenAI-shaped API, so developers can keep the same request/response formats and simply change the base URL to get cheaper, production-ready STT, TTS, and embeddings. It offers transparent per-request metering (by audio hour, characters, or tokens), supports INR and USD billing, and provides free credits on signup with no credit card required. The current catalog includes Whisper for transcription, Kokoro for speech synthesis with multiple voices, Qwen embeddings for semantic search/RAG, and a small Qwen coder/chat model for fast text/code generation.
Key Features of Alvoff Inference - Fast, cheap STT · TTS
Alvoff Inference is a pay-as-you-go, OpenAI-compatible API that bundles speech-to-text, text-to-speech, embeddings, and lightweight chat/code generation behind a single base URL. It runs self-hosted Whisper, Kokoro, and Qwen models so developers can keep existing OpenAI SDK code and simply swap the base URL and API key. The service emphasizes low-latency, cost-efficient speech (STT/TTS), transparent per-request billing (by audio hour, characters, or tokens), and quick onboarding with free sign-up credits and INR/USD billing options.
OpenAI-compatible drop-in API: Works with standard OpenAI SDK request/response shapes—typically just change the base URL to https://inference.alvoff.ai/v1 and use an Alvoff key, avoiding a full integration rewrite.
STT via Whisper Large v3 Turbo: Multilingual speech-to-text using whisper-large-v3-turbo, priced by audio duration ($0.0252/hour), suited for fast transcription from common audio inputs.
Low-latency TTS via Kokoro-82M: Text-to-speech using kokoro-82m with multiple voices (example voice: af_heart), designed for natural-sounding output and low latency; billed per character ($0.4193/1M characters).
Embeddings for search & RAG: qwen3-embedding-0.6b embeddings (1024-dim) for semantic search, clustering, and retrieval-augmented generation workflows; billed per token ($0.0063/1M tokens).
Transparent, prepaid pay-as-you-go pricing: No subscription, no minimums, and no idle costs—every request is metered. New accounts receive ₹500 free credits; prepaid credits supported with INR & USD billing.
Unified model catalog (speech + text): One control plane for multiple production-ready models, including a lightweight chat/code option (qwen2.5-coder:1.5b, 4-bit quantized) alongside STT/TTS/embeddings.
Use Cases of Alvoff Inference - Fast, cheap STT · TTS
Voice-enabled apps and assistants: Combine Whisper STT for user input and Kokoro TTS for spoken responses in interactive applications (e.g., in-app voice feedback, voice commands, basic voice agents) where low latency and cost matter.
Customer support call transcription: Transcribe support calls or voice notes for QA, compliance, and searchable archives using pay-per-audio-hour STT, without managing your own Whisper deployment.
Content narration and audio publishing: Generate narration for articles, product updates, e-learning snippets, or internal training using multi-voice TTS, optimized for fast, affordable generation.
RAG and semantic search for product knowledge: Use Qwen embeddings to index documentation, tickets, or knowledge bases for semantic retrieval, then generate answers with a chat/code model—useful for help centers and internal tooling.
Developer tooling and code assistant features: Add lightweight code/text generation (qwen2.5-coder:1.5b) for code completion, refactoring helpers, or automated snippets, especially when combined with embeddings for repo search.
Pros
Drop-in OpenAI compatibility makes migration fast (swap base URL + key).
Transparent, low-cost metering across STT/TTS/embeddings with no subscription or idle GPU costs.
Free sign-up credits (₹500) and prepaid INR/USD billing lowers experimentation friction.
Cons
Model catalog is relatively small (four highlighted models), which may limit advanced quality/feature needs versus larger providers.
Real-time conversational TTS often benefits from streaming; serverless-style APIs may return complete audio rather than sub-200ms first-audio-chunk streaming depending on implementation.
The included chat/code model is lightweight (1.5B, 4-bit), which may underperform on complex reasoning/coding compared to larger LLMs.
How to Use Alvoff Inference - Fast, cheap STT · TTS
1) Sign up: Go to https://inference.alvoff.ai/ and create an account (Google sign-in is supported). New accounts receive ₹500.00 in free credits. No credit card and no subscription required.
2) Create an API key: Open your Alvoff dashboard and generate an API key (it will look like: sk-alv-...). You’ll use this key exactly like an OpenAI API key.
3) Point your OpenAI SDK to Alvoff (base URL swap): In your app, keep your existing OpenAI SDK code but set base_url to https://inference.alvoff.ai/v1 and api_key to your Alvoff key. This works because Alvoff is OpenAI-compatible (same request/response shapes).
4) Install the OpenAI Python SDK (if needed): Install the OpenAI client library in your environment (e.g., pip install openai) so you can call Alvoff using the OpenAI-compatible interface.
5) Use Embeddings (qwen3-embedding-0.6b): Create embeddings for semantic search/RAG by calling embeddings.create with model="qwen/qwen3-embedding-0.6b" and your input text. Pricing is metered per token (listed as $0.0063 / 1M tokens). Example:
from openai import OpenAI
client = OpenAI(base_url="https://inference.alvoff.ai/v1", api_key="sk-alv-...")
client.embeddings.create(model="qwen/qwen3-embedding-0.6b", input="hello")
6) Use Speech-to-Text (Whisper large v3 turbo): Transcribe audio by calling audio.transcriptions.create with model="whisper-large-v3-turbo" and an audio file. Pricing is metered per hour of audio (listed as $0.0252 / hour). Example:
from openai import OpenAI
client = OpenAI(base_url="https://inference.alvoff.ai/v1", api_key="sk-alv-...")
client.audio.transcriptions.create(
model="whisper-large-v3-turbo",
file=open("a.wav", "rb")
)
7) Use Text-to-Speech (Kokoro 82M): Generate speech audio by calling audio.speech.create with model="kokoro" and a voice (example voice: "af_heart"). Pricing is metered per character (listed as $0.4193 / 1M characters). Example:
from openai import OpenAI
client = OpenAI(base_url="https://inference.alvoff.ai/v1", api_key="sk-alv-...")
client.audio.speech.create(
model="kokoro",
voice="af_heart",
input="Hi there"
)
8) Use Chat/Code generation (qwen2.5-coder:1.5b): For fast text/code generation, call the chat/completions endpoint using the OpenAI-compatible API and select the Qwen coder model (listed as qwen2.5-coder:1.5b, 4-bit quantized). Pricing is metered per input/output token (listed as $0.0105 in and $0.0315 out per 1M tokens).
9) Monitor usage and costs (pay-as-you-go): Alvoff meters every request (tokens/characters/audio-hours depending on model). Track your remaining credits and usage in the dashboard. Billing supports INR & USD, with prepaid credits via Razorpay.
10) Scale or request extra startup credits (optional): If you’re a startup/indie hacker building a product, email [email protected] describing your project to request additional starter credits and onboarding help.
Alvoff Inference - Fast, cheap STT · TTS FAQs
Alvoff Inference is an OpenAI-compatible API for speech-to-text, text-to-speech, embeddings, and chat/code models, offered with pay-as-you-go pricing and no subscription.
Popular Articles
Atoms: A Multi-Agent AI Platform That Transforms Ideas into Launch-Ready Products
May 22, 2026
Nano Banana SBTI: What It Is, How It Works, and How to Use It in 2026
Apr 15, 2026
Atoms Review — The AI Product Builder Redefining Digital Creation in 2026
Apr 10, 2026
Kilo Claw: How to Deploy and Use a True "Do‑It‑For‑You" AI Agent(2026 Update)
Apr 3, 2026
Latest AI Tools Similar to Alvoff Inference - Fast, cheap STT · TTS
Advanced Voice
Advanced Voice is ChatGPT's cutting-edge voice interaction feature that enables real-time, natural voice conversations with custom instructions, multiple voice options, and improved accents for seamless human-AI communication.
TranscriptionPlus
TranscriptionPlus is an AI-powered transcription service that offers accurate speech-to-text conversion with advanced features like speaker identification, summary generation, and multi-language support at affordable pricing tiers.
Wedding Speech Genie
Wedding Speech Genie is an AI-powered platform that crafts personalized wedding speeches in minutes by generating 3 custom versions based on your input, helping speakers deliver memorable toasts for any wedding role.
AudioScribe.io
AudioScribe.io is a revolutionary AI-powered transcription service that converts audio and video content into accurate text while offering advanced features like automated meeting recording, full-text search, and multi-language support.
Popular AI Tools Like Alvoff Inference - Fast, cheap STT · TTS
RSTGameTranslation
RSTGameTranslation is an open-source real-time game translation tool that combines OCR and AI translation technologies to automatically translate game text across multiple languages while supporting both offline and online modes.
Whisper AI
Whisper is an open-source automatic speech recognition system from OpenAI that approaches human-level accuracy and robustness for transcribing and translating speech in multiple languages.
Super Grok
Super Grok is a powerful Chrome extension that enhances the Grok AI experience with custom prompts, voice input, multiple language support, and advanced chat modes for smarter AI conversations.
AirJump
AirJump is an innovative fitness app that uses AirPods' motion sensors to automatically track and count jump rope workouts while providing real-time statistics and achievement-based motivation.