Speko: A Unified API Gateway for Voice AI — One-Stop Routing for STT + LLM + TTS
Speko is the OpenRouter for Voice, unifying STT, LLM, and TTS in a single API.
Speko positions itself as the "OpenRouter for Voice," offering a unified API that integrates Speech-to-Text, LLM, and Text-to-Speech capabilities in one place. It addresses the high cost of multi-vendor integration and the lack of easy model comparison by displaying public benchmarks alongside real-time availability. The product debuted at #4 on Product Hunt.
What Is Speko?
In the LLM space, OpenRouter has become a familiar name among developers — it provides a unified API gateway that lets developers freely switch between models, compare pricing, and route requests across providers. Now, Speko — which recently debuted at #4 on Product Hunt — is aiming to bring that same concept to the world of voice AI.
Speko's positioning is crystal clear: "OpenRouter for Voice." Through a single API, it integrates three core voice capabilities — Speech-to-Text (STT), Large Language Models (LLM), and Text-to-Speech (TTS) — while displaying public benchmarks directly alongside real-time availability metrics. Built by Maker Bek Abdik, the product launched to 232 upvotes and 16 comments, and is categorized under developer tools, artificial intelligence, and audio.
Why Do Developers Need a "Voice Router"?
With the explosion of voice-interactive applications, developers building voice products often need to stitch together services from multiple vendors: one provider's STT engine for speech recognition, another's LLM for understanding and generation, and a third's TTS for synthesized audio output. This fragmented tech stack creates several clear pain points.
High Cost of Multi-Vendor Integration
Every new service provider means a separate set of API docs, authentication systems, billing rules, and error-handling logic. When a voice conversation app needs to chain STT → LLM → TTS, developers are effectively maintaining at least three distinct integrations — and the engineering complexity multiplies accordingly.
No Easy Way to Compare Voice Models
Voice model quality varies enormously and is highly context-dependent. Different TTS engines have different trade-offs in naturalness, latency, and language coverage; different STT engines perform differently in noisy environments or with various accents. Yet historically, developers have had no easy way to compare these models on the same dimensions — they've had to rely on intuition or trial and error.
This is precisely where Speko delivers value — by placing public benchmarks side by side with real-time availability. Developers can see not only how well a model performs, but also whether it's available right now, enabling smarter trade-offs between quality and reliability.
Speko's Product Logic and Core Features
Speko abstracts the complete voice AI pipeline into a unified interface. This design philosophy borrows from OpenRouter's success in the LLM space — though the complexity in voice scenarios is actually higher.
Unified STT + LLM + TTS Integration
Unlike pure-text LLM routing, a complete voice application requires a three-stage pipeline:
- STT (Speech-to-Text): Transcribes the user's voice input into text
- LLM (Large Language Model): Understands the text and generates a response
- TTS (Text-to-Speech): Synthesizes the generated text into natural-sounding audio
Speko wraps all three capabilities in a single unified API, dramatically lowering the barrier to building voice applications. Developers no longer need to integrate three separate providers — they make a single call through Speko and can flexibly switch between models as needed.
Benchmark-Driven Model Selection
Speko's most differentiated feature is bringing benchmarks into the model selection process upfront. In a voice AI market crowded with vendors and inconsistent quality, transparent, data-driven comparisons are a scarce resource. By pairing public benchmarks with real-time availability, Speko aims to transform model selection from gut-feel guesswork into data-informed decision-making.
Industry Significance and Potential Challenges
Speko's emergence reflects a broader trend taking shape at the AI infrastructure layer: aggregation and routing are expanding beyond LLMs into more modalities. As competition in single-modality models intensifies, a neutral, transparent aggregation layer gains real value — reducing integration costs for developers while giving downstream model providers a fair and visible competitive stage.
That said, as an early-stage product, Speko raises a few questions worth watching:
- Vendor coverage: The breadth of mainstream voice providers supported sets the ceiling on Speko's practical utility
- Benchmark integrity: The fairness and update frequency of the public benchmarks directly determine whether the "data-driven selection" pitch holds up in practice
- Middleware latency: The additional latency introduced as a middle layer could become a sensitive factor in voice scenarios with strict real-time requirements
For developers building voice conversation apps, AI podcasts, voice assistants, and similar products, Speko offers a unified gateway worth exploring. Whether it can become the de facto voice AI infrastructure the way OpenRouter has for LLMs still needs time and ecosystem validation. But at the very least, it has identified a genuine and real pain point.
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